Search results for "RBAC"

Stripe

WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. ABOUT THE TEAM The User Auth Experience (UAX) team makes authentication and account security at Stripe world-class—secure by default, frictionless for legitimate users, and resilient against evolving threats. We own the end-to-end login, registration, and session management experience for the Stripe Dashboard, and we're expanding that security foundation to every surface where users and agents interact with Stripe. We improve security, access, and usability simultaneously—without compromising any of the three. Our scope spans account takeover prevention, API key security, auth for AI agents, and a two-party approvals framework governing both human and automated actions. The team sits within OAP (Organizations and Auth Platform) in the DEeP (Developer Experience and Product Platform Engineering) organization at Stripe. WHAT YOU’LL DO As a Staff Engineer on UAX, you'll set technical direction across multiple areas of the team's charter, drive architecture decisions that affect millions of users, and lead initiatives that span multiple organizations. You'll operate at the intersection of security and product—designing systems where the safe path is the default path, and navigating the tension between stronger security and lower user friction. You'll own the technical vision for one or more of our platform bets—extending our risk-scoring framework from login to API-layer anomaly detection, evolving our step-up challenge platform to serve multiple Stripe surfaces, or defining Stripe auth primitives for the agentic era (agent principals, approval rules, MCP human-in-the-loop). These are multi-year arcs that require someone who can hold the long-term architecture while shipping incrementally. You'll also directly build risk-dynamic enforcement pipelines, full-stack approval flows, API key protection UX, and the analytics infrastructure that measures our impact. This is a hands-on role with architectural leverage—you'll write code, review designs, and shape how partner teams integrate with our security primitives RESPONSIBILITIES * Own the technical architecture for a major area of the team's charter  * Design and ship systems that serve multiple Stripe surfaces—building generalized primitives, not point solutions  * Drive cross-org technical alignment on shared security infrastructure  * Make effective tradeoffs that consider security posture, user friction, and sustainable technical foundations  * Mentor and grow engineers on the team  * Raise the bar for design rigor, operational excellence, and code quality  * Shape the team's multi-year roadmap through technical foresight and principled prioritization WHO YOU ARE We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * 12+ years of experience in full-time software development roles * Experience as a technical lead by guiding your team, influencing its roadmap, and overseeing complex projects spanning multiple teams * Experience in both frontend and backend, with strong ability to work as a generalist across the stack * Thrive in a collaborative environment with other teams to identify high-impact ways of solving problems * Excellent oral and written communication PREFERRED QUALIFICATIONS * You strive for simple solutions and designs over complex ones, and have a good intuition for what will last and scale well  * Deep expertise in authentication and authorization systems—SSO, MFA, passkeys and WebAuthn, OAuth, session management, or API key security * Experience building risk-based or adaptive security systems (anomaly detection, step-up auth, fraud prevention) * Strong understanding of IAM concepts, including RBAC, identity governance, SCIM, delegated auth, or approval workflows * Experience defining auth or security primitives for programmatic consumers (APIs, agents, and SDKs)—not just human-facing UI * Experience building scalable, resilient, and observable systems while understanding UX best practices for the frontend * You put yourself in the shoes of your users to understand their needs and fit that into the bigger picture * You stitch together many different services and processes, even if you haven't worked with them before * Experience building software for fellow developers

Valtech

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.  THE OPPORTUNITY At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.  We are proud of:  * The work we do and the innovation we drive  * Our values of share, care and dare  * A workplace culture that fosters creativity, diversity and autonomy  * Our borderless, global framework, which enables seamless collaboration  The role   We are looking for an experienced Senior Data Engineer to design, build, and optimize modern, cloud-based data platforms that power analytics, AI, and data products across the organization. Beyond technical delivery, we're looking for someone genuinely curious about the business problems behind the data — someone who can apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and shape business requirements, not just implement them as given. You will work on scalable batch, streaming, and near-real-time pipelines, enabling high-quality, curated datasets while ensuring robust data governance, security, and observability across the data ecosystem. You will also play a key role in supporting AI and GenAI systems, enabling pipelines for machine learning, causal modeling, and LLM-powered applications such as RAG and agent-based systems. Our preferred platforms are Microsoft Azure / Fabric (primary), GCP, AWS, Databricks, and Snowflake, with Azure experience being highly transferable to Fabric. You will collaborate closely with data scientists, ML engineers, and platform teams to ensure the data foundation supports production-grade, decision-oriented AI systems. Role responsibilities Build & Data Platform Engineering Design and implement scalable data platforms and pipelines across cloud environments (Azure/Fabric, AWS, GCP, Databricks, Snowflake). This includes developing reliable batch, streaming, and near-real-time pipelines using technologies such as Spark and Delta Lake, and building ingestion, transformation, and curation workflows for both structured and unstructured data. You will implement modern data architectures including lakehouse patterns and medallion layering (bronze, silver, gold), ensuring systems are reusable, scalable, and aligned with enterprise needs. Enable AI, GenAI & Data Products Deliver high-quality datasets that support analytics, machine learning, causal modeling, and optimization systems. You will enable data pipelines for GenAI use cases (including LLMs, RAG pipelines, and vector-based data flows), as well as agent-based architectures and intelligent workflows, ensuring that data is model-ready and production-grade. Data Modeling, Orchestration & Automation Design scalable logical and physical data models for analytical and operational use cases, ensuring consistency across domains. Orchestrate workflows using tools such as Airflow, dbt, Lakeflow, or equivalents, with strong focus on automation, reliability, and maintainability of end-to-end pipelines. Architecture, Governance & Observability Apply modern architecture patterns including event-driven and streaming architectures, and ensure adherence to best practices in data governance, lineage, quality, and access control (RBAC/ABAC). Establish strong data observability, including monitoring of data freshness, pipeline reliability, and SLA adherence, ensuring systems remain trustworthy and production-ready. Data Serving, Integration & Optimization Enable data serving layers (APIs, feature inputs, analytical endpoints) to support downstream systems, including ML and AI platforms. Continuously monitor and optimize pipelines and infrastructure for performance, scalability, and cost efficiency. Requirements Discovery & Business Partnership Bring genuine curiosity to every engagement — ask the right questions to understand not just what stakeholders are asking for, but why. Apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and refine business requirements, surfacing gaps or better alternatives where they exist rather than simply executing a brief as written. Collaboration Work closely with data scientists, ML engineers, analysts, and business stakeholders to translate requirements into robust data solutions. Support adoption of data products and contribute to best practices across the data and AI ecosystem. Must have qualifications Technical skills Strong hands-on experience with Apache Spark and Delta Lake, and strong programming skills in Python and SQL. Proven experience building batch and streaming data pipelines and production-grade data platforms, with solid understanding of data modeling, data quality, and governance principles. Cloud & Platforms (Key Requirement) Experience with one or more major cloud platforms, with preference for Microsoft Azure / Fabric, as well as AWS or GCP. Familiarity with modern data platforms such as Databricks and Snowflake is expected. Architecture & Systems Thinking Experience with lakehouse architectures and distributed data systems, and strong understanding of scalability, reliability, and performance considerations in data pipelines. Mindset Naturally curious, with strong problem-solving skills focused on scalability and reliability, and a collaborative approach to working in cross-functional teams. Comfortable applying common sense thinking, detailed analysis, and experience-based recommendations to help derive and challenge business requirements rather than taking them at face value. Experience in Agile or consulting environments is beneficial. Nice to have qualifications   Experience with GenAI and AI data systems (e.g., RAG pipelines, vector databases, LLM data preparation), as well as CI/CD for data pipelines and infrastructure-as-code tools such as Terraform, ARM, or CloudFormation.  Additional exposure to streaming technologies (e.g., Kafka), Spark optimization, or advanced analytics and ML workloads (including causal or experimentation platforms) is valuable. Experience building data products or large-scale analytics platforms is also beneficial.  Commitment to reaching all kinds of people  We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.  THE BENEFITS   This is a Full time position based in Kosovo.  Beyond a competitive compensation package, we offer:   * Health insurance that guarantees fast access to contracted health services * Vacation Plan * Subsidy for study materials, trainings, conferences and events that will contribute to your development * Hybrid Working model * Performance Evaluation Process that paves the roadmap for a personal and professional career development * Refreshments and fruit in the office * Team gatherings and parties organized and subsidized by the company YOUR APPLICATION PROCESS Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud! We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.  ABOUT VALTECH Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  Are you ready to create what’s next? Join us.

Valtech

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.  THE OPPORTUNITY At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.  We are proud of:  * The work we do and the innovation we drive  * Our values of share, care and dare  * A workplace culture that fosters creativity, diversity and autonomy  * Our borderless, global framework, which enables seamless collaboration  The role   We are looking for an experienced Senior Data Engineer to design, build, and optimize modern, cloud-based data platforms that power analytics, AI, and data products across the organization. Beyond technical delivery, we're looking for someone genuinely curious about the business problems behind the data — someone who can apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and shape business requirements, not just implement them as given. You will work on scalable batch, streaming, and near-real-time pipelines, enabling high-quality, curated datasets while ensuring robust data governance, security, and observability across the data ecosystem. You will also play a key role in supporting AI and GenAI systems, enabling pipelines for machine learning, causal modeling, and LLM-powered applications such as RAG and agent-based systems. Our preferred platforms are Microsoft Azure / Fabric (primary), GCP, AWS, Databricks, and Snowflake, with Azure experience being highly transferable to Fabric. You will collaborate closely with data scientists, ML engineers, and platform teams to ensure the data foundation supports production-grade, decision-oriented AI systems. Role responsibilities Build & Data Platform Engineering Design and implement scalable data platforms and pipelines across cloud environments (Azure/Fabric, AWS, GCP, Databricks, Snowflake). This includes developing reliable batch, streaming, and near-real-time pipelines using technologies such as Spark and Delta Lake, and building ingestion, transformation, and curation workflows for both structured and unstructured data. You will implement modern data architectures including lakehouse patterns and medallion layering (bronze, silver, gold), ensuring systems are reusable, scalable, and aligned with enterprise needs. Enable AI, GenAI & Data Products Deliver high-quality datasets that support analytics, machine learning, causal modeling, and optimization systems. You will enable data pipelines for GenAI use cases (including LLMs, RAG pipelines, and vector-based data flows), as well as agent-based architectures and intelligent workflows, ensuring that data is model-ready and production-grade. Data Modeling, Orchestration & Automation Design scalable logical and physical data models for analytical and operational use cases, ensuring consistency across domains. Orchestrate workflows using tools such as Airflow, dbt, Lakeflow, or equivalents, with strong focus on automation, reliability, and maintainability of end-to-end pipelines. Architecture, Governance & Observability Apply modern architecture patterns including event-driven and streaming architectures, and ensure adherence to best practices in data governance, lineage, quality, and access control (RBAC/ABAC). Establish strong data observability, including monitoring of data freshness, pipeline reliability, and SLA adherence, ensuring systems remain trustworthy and production-ready. Data Serving, Integration & Optimization Enable data serving layers (APIs, feature inputs, analytical endpoints) to support downstream systems, including ML and AI platforms. Continuously monitor and optimize pipelines and infrastructure for performance, scalability, and cost efficiency. Requirements Discovery & Business Partnership Bring genuine curiosity to every engagement — ask the right questions to understand not just what stakeholders are asking for, but why. Apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and refine business requirements, surfacing gaps or better alternatives where they exist rather than simply executing a brief as written. Collaboration Work closely with data scientists, ML engineers, analysts, and business stakeholders to translate requirements into robust data solutions. Support adoption of data products and contribute to best practices across the data and AI ecosystem. Must have qualifications Technical skills Strong hands-on experience with Apache Spark and Delta Lake, and strong programming skills in Python and SQL. Proven experience building batch and streaming data pipelines and production-grade data platforms, with solid understanding of data modeling, data quality, and governance principles. Cloud & Platforms (Key Requirement) Experience with one or more major cloud platforms, with preference for Microsoft Azure / Fabric, as well as AWS or GCP. Familiarity with modern data platforms such as Databricks and Snowflake is expected. Architecture & Systems Thinking Experience with lakehouse architectures and distributed data systems, and strong understanding of scalability, reliability, and performance considerations in data pipelines. Mindset Naturally curious, with strong problem-solving skills focused on scalability and reliability, and a collaborative approach to working in cross-functional teams. Comfortable applying common sense thinking, detailed analysis, and experience-based recommendations to help derive and challenge business requirements rather than taking them at face value. Experience in Agile or consulting environments is beneficial. Nice to have qualifications   Experience with GenAI and AI data systems (e.g., RAG pipelines, vector databases, LLM data preparation), as well as CI/CD for data pipelines and infrastructure-as-code tools such as Terraform, ARM, or CloudFormation.  Additional exposure to streaming technologies (e.g., Kafka), Spark optimization, or advanced analytics and ML workloads (including causal or experimentation platforms) is valuable. Experience building data products or large-scale analytics platforms is also beneficial.  Commitment to reaching all kinds of people  We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.  THE BENEFITS   Beyond a competitive compensation package, we offer:  * Flexibility, with hybrid work options and 25 vacation days for a healthy work-life balance. * Co-subsidized transportation & Multisport cards. * Premium health insurance for fast and easy access to top healthcare services. * Training policy for technical and other skills-related events, courses and certifications. * Personal career development roadmap guided by performance evaluations. * Self-care program offering psychological consultations & discussions for you and the team. * Cozy office space designed for comfort and productivity. * Exciting team events and company gatherings. YOUR APPLICATION PROCESS Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud! We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.  ABOUT VALTECH Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  Are you ready to create what’s next? Join us.

Valtech

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.  THE OPPORTUNITY At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.  We are proud of:  * The work we do and the innovation we drive  * Our values of share, care and dare  * A workplace culture that fosters creativity, diversity and autonomy  * Our borderless, global framework, which enables seamless collaboration  The role   We are looking for an experienced Senior Data Engineer to design, build, and optimize modern, cloud-based data platforms that power analytics, AI, and data products across the organization. Beyond technical delivery, we're looking for someone genuinely curious about the business problems behind the data — someone who can apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and shape business requirements, not just implement them as given. You will work on scalable batch, streaming, and near-real-time pipelines, enabling high-quality, curated datasets while ensuring robust data governance, security, and observability across the data ecosystem. You will also play a key role in supporting AI and GenAI systems, enabling pipelines for machine learning, causal modeling, and LLM-powered applications such as RAG and agent-based systems. Our preferred platforms are Microsoft Azure / Fabric (primary), GCP, AWS, Databricks, and Snowflake, with Azure experience being highly transferable to Fabric. You will collaborate closely with data scientists, ML engineers, and platform teams to ensure the data foundation supports production-grade, decision-oriented AI systems. Role responsibilities Build & Data Platform Engineering Design and implement scalable data platforms and pipelines across cloud environments (Azure/Fabric, AWS, GCP, Databricks, Snowflake). This includes developing reliable batch, streaming, and near-real-time pipelines using technologies such as Spark and Delta Lake, and building ingestion, transformation, and curation workflows for both structured and unstructured data. You will implement modern data architectures including lakehouse patterns and medallion layering (bronze, silver, gold), ensuring systems are reusable, scalable, and aligned with enterprise needs. Enable AI, GenAI & Data Products Deliver high-quality datasets that support analytics, machine learning, causal modeling, and optimization systems. You will enable data pipelines for GenAI use cases (including LLMs, RAG pipelines, and vector-based data flows), as well as agent-based architectures and intelligent workflows, ensuring that data is model-ready and production-grade. Data Modeling, Orchestration & Automation Design scalable logical and physical data models for analytical and operational use cases, ensuring consistency across domains. Orchestrate workflows using tools such as Airflow, dbt, Lakeflow, or equivalents, with strong focus on automation, reliability, and maintainability of end-to-end pipelines. Architecture, Governance & Observability Apply modern architecture patterns including event-driven and streaming architectures, and ensure adherence to best practices in data governance, lineage, quality, and access control (RBAC/ABAC). Establish strong data observability, including monitoring of data freshness, pipeline reliability, and SLA adherence, ensuring systems remain trustworthy and production-ready. Data Serving, Integration & Optimization Enable data serving layers (APIs, feature inputs, analytical endpoints) to support downstream systems, including ML and AI platforms. Continuously monitor and optimize pipelines and infrastructure for performance, scalability, and cost efficiency. Requirements Discovery & Business Partnership Bring genuine curiosity to every engagement — ask the right questions to understand not just what stakeholders are asking for, but why. Apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and refine business requirements, surfacing gaps or better alternatives where they exist rather than simply executing a brief as written. Collaboration Work closely with data scientists, ML engineers, analysts, and business stakeholders to translate requirements into robust data solutions. Support adoption of data products and contribute to best practices across the data and AI ecosystem. Must have qualifications Technical skills Strong hands-on experience with Apache Spark and Delta Lake, and strong programming skills in Python and SQL. Proven experience building batch and streaming data pipelines and production-grade data platforms, with solid understanding of data modeling, data quality, and governance principles. Cloud & Platforms (Key Requirement) Experience with one or more major cloud platforms, with preference for Microsoft Azure / Fabric, as well as AWS or GCP. Familiarity with modern data platforms such as Databricks and Snowflake is expected. Architecture & Systems Thinking Experience with lakehouse architectures and distributed data systems, and strong understanding of scalability, reliability, and performance considerations in data pipelines. Mindset Naturally curious, with strong problem-solving skills focused on scalability and reliability, and a collaborative approach to working in cross-functional teams. Comfortable applying common sense thinking, detailed analysis, and experience-based recommendations to help derive and challenge business requirements rather than taking them at face value. Experience in Agile or consulting environments is beneficial. Nice to have qualifications   Experience with GenAI and AI data systems (e.g., RAG pipelines, vector databases, LLM data preparation), as well as CI/CD for data pipelines and infrastructure-as-code tools such as Terraform, ARM, or CloudFormation.  Additional exposure to streaming technologies (e.g., Kafka), Spark optimization, or advanced analytics and ML workloads (including causal or experimentation platforms) is valuable. Experience building data products or large-scale analytics platforms is also beneficial.  Commitment to reaching all kinds of people  We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.  THE BENEFITS   This is a position based in Portugal.  Beyond a competitive compensation package, we offer:  * Flexibility, with remote and hybrid work options (country-dependent)  * Career advancement, with international mobility and professional development programs  * Learning and development, with access to cutting-edge tools, training and industry experts  Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.  YOUR APPLICATION PROCESS Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud! We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.  ABOUT VALTECH Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  Are you ready to create what’s next? Join us.

Valtech

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.  THE OPPORTUNITY At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.  We are proud of:  * The work we do and the innovation we drive  * Our values of share, care and dare  * A workplace culture that fosters creativity, diversity and autonomy  * Our borderless, global framework, which enables seamless collaboration  The role   We are looking for an experienced Senior Data Engineer to design, build, and optimize modern, cloud-based data platforms that power analytics, AI, and data products across the organization. Beyond technical delivery, we're looking for someone genuinely curious about the business problems behind the data — someone who can apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and shape business requirements, not just implement them as given. You will work on scalable batch, streaming, and near-real-time pipelines, enabling high-quality, curated datasets while ensuring robust data governance, security, and observability across the data ecosystem. You will also play a key role in supporting AI and GenAI systems, enabling pipelines for machine learning, causal modeling, and LLM-powered applications such as RAG and agent-based systems. Our preferred platforms are Microsoft Azure / Fabric (primary), GCP, AWS, Databricks, and Snowflake, with Azure experience being highly transferable to Fabric. You will collaborate closely with data scientists, ML engineers, and platform teams to ensure the data foundation supports production-grade, decision-oriented AI systems. Role responsibilities Build & Data Platform Engineering Design and implement scalable data platforms and pipelines across cloud environments (Azure/Fabric, AWS, GCP, Databricks, Snowflake). This includes developing reliable batch, streaming, and near-real-time pipelines using technologies such as Spark and Delta Lake, and building ingestion, transformation, and curation workflows for both structured and unstructured data. You will implement modern data architectures including lakehouse patterns and medallion layering (bronze, silver, gold), ensuring systems are reusable, scalable, and aligned with enterprise needs. Enable AI, GenAI & Data Products Deliver high-quality datasets that support analytics, machine learning, causal modeling, and optimization systems. You will enable data pipelines for GenAI use cases (including LLMs, RAG pipelines, and vector-based data flows), as well as agent-based architectures and intelligent workflows, ensuring that data is model-ready and production-grade. Data Modeling, Orchestration & Automation Design scalable logical and physical data models for analytical and operational use cases, ensuring consistency across domains. Orchestrate workflows using tools such as Airflow, dbt, Lakeflow, or equivalents, with strong focus on automation, reliability, and maintainability of end-to-end pipelines. Architecture, Governance & Observability Apply modern architecture patterns including event-driven and streaming architectures, and ensure adherence to best practices in data governance, lineage, quality, and access control (RBAC/ABAC). Establish strong data observability, including monitoring of data freshness, pipeline reliability, and SLA adherence, ensuring systems remain trustworthy and production-ready. Data Serving, Integration & Optimization Enable data serving layers (APIs, feature inputs, analytical endpoints) to support downstream systems, including ML and AI platforms. Continuously monitor and optimize pipelines and infrastructure for performance, scalability, and cost efficiency. Requirements Discovery & Business Partnership Bring genuine curiosity to every engagement — ask the right questions to understand not just what stakeholders are asking for, but why. Apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and refine business requirements, surfacing gaps or better alternatives where they exist rather than simply executing a brief as written. Collaboration Work closely with data scientists, ML engineers, analysts, and business stakeholders to translate requirements into robust data solutions. Support adoption of data products and contribute to best practices across the data and AI ecosystem. Must have qualifications Technical skills Strong hands-on experience with Apache Spark and Delta Lake, and strong programming skills in Python and SQL. Proven experience building batch and streaming data pipelines and production-grade data platforms, with solid understanding of data modeling, data quality, and governance principles. Cloud & Platforms (Key Requirement) Experience with one or more major cloud platforms, with preference for Microsoft Azure / Fabric, as well as AWS or GCP. Familiarity with modern data platforms such as Databricks and Snowflake is expected. Architecture & Systems Thinking Experience with lakehouse architectures and distributed data systems, and strong understanding of scalability, reliability, and performance considerations in data pipelines. Mindset Naturally curious, with strong problem-solving skills focused on scalability and reliability, and a collaborative approach to working in cross-functional teams. Comfortable applying common sense thinking, detailed analysis, and experience-based recommendations to help derive and challenge business requirements rather than taking them at face value. Experience in Agile or consulting environments is beneficial. Nice to have qualifications   Experience with GenAI and AI data systems (e.g., RAG pipelines, vector databases, LLM data preparation), as well as CI/CD for data pipelines and infrastructure-as-code tools such as Terraform, ARM, or CloudFormation.  Additional exposure to streaming technologies (e.g., Kafka), Spark optimization, or advanced analytics and ML workloads (including causal or experimentation platforms) is valuable. Experience building data products or large-scale analytics platforms is also beneficial.  Commitment to reaching all kinds of people  We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.  The benefits   This is a position based in Poland.  MENTAL AND PHYSICAL HEALTH: * 24 working days of paid vacation * National holidays covered * Sick leave (up to 20/year) * Unpaid leave (up to 20/year) * Medical insurance * Multisport card OR Multikafeteria * Maternity & paternity leave support PERSONAL AND PROFESSIONAL DEVELOPMENT: * Internal workshops & learning initiatives * Professional certifications reimbursement * Participation in professional local & global communities * Growth Framework to manage expectations and define the steps to move towards the selected career * Mentoring program with the ability to become a mentor or a mentee to grow to a higher position Valtech Poland has a system of progressive benefit packages – the longer you stay with the company, the more benefits you get! Beyond a competitive compensation package, we offer:  * Flexibility, with remote and hybrid work options (country-dependent)  * Career advancement, with international mobility and professional development programs  * Learning and development, with access to cutting-edge tools, training and industry experts  YOUR APPLICATION PROCESS Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud! We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.  ABOUT VALTECH Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  Are you ready to create what’s next? Join us.

Valtech

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.  The opportunity At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.  We are proud of:  * The work we do and the innovation we drive  * Our values of share, care and dare  * A workplace culture that fosters creativity, diversity and autonomy  * Our borderless, global framework, which enables seamless collaboration  The role   We are looking for an experienced Senior Data Engineer to design, build, and optimize modern, cloud-based data platforms that power analytics, AI, and data products across the organization. Beyond technical delivery, we're looking for someone genuinely curious about the business problems behind the data — someone who can apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and shape business requirements, not just implement them as given. You will work on scalable batch, streaming, and near-real-time pipelines, enabling high-quality, curated datasets while ensuring robust data governance, security, and observability across the data ecosystem. You will also play a key role in supporting AI and GenAI systems, enabling pipelines for machine learning, causal modeling, and LLM-powered applications such as RAG and agent-based systems. Our preferred platforms are Microsoft Azure / Fabric (primary), GCP, AWS, Databricks, and Snowflake, with Azure experience being highly transferable to Fabric. You will collaborate closely with data scientists, ML engineers, and platform teams to ensure the data foundation supports production-grade, decision-oriented AI systems. Role responsibilities Build & Data Platform Engineering Design and implement scalable data platforms and pipelines across cloud environments (Azure/Fabric, AWS, GCP, Databricks, Snowflake). This includes developing reliable batch, streaming, and near-real-time pipelines using technologies such as Spark and Delta Lake, and building ingestion, transformation, and curation workflows for both structured and unstructured data. You will implement modern data architectures including lakehouse patterns and medallion layering (bronze, silver, gold), ensuring systems are reusable, scalable, and aligned with enterprise needs. Enable AI, GenAI & Data Products Deliver high-quality datasets that support analytics, machine learning, causal modeling, and optimization systems. You will enable data pipelines for GenAI use cases (including LLMs, RAG pipelines, and vector-based data flows), as well as agent-based architectures and intelligent workflows, ensuring that data is model-ready and production-grade. Data Modeling, Orchestration & Automation Design scalable logical and physical data models for analytical and operational use cases, ensuring consistency across domains. Orchestrate workflows using tools such as Airflow, dbt, Lakeflow, or equivalents, with strong focus on automation, reliability, and maintainability of end-to-end pipelines. Architecture, Governance & Observability Apply modern architecture patterns including event-driven and streaming architectures, and ensure adherence to best practices in data governance, lineage, quality, and access control (RBAC/ABAC). Establish strong data observability, including monitoring of data freshness, pipeline reliability, and SLA adherence, ensuring systems remain trustworthy and production-ready. Data Serving, Integration & Optimization Enable data serving layers (APIs, feature inputs, analytical endpoints) to support downstream systems, including ML and AI platforms. Continuously monitor and optimize pipelines and infrastructure for performance, scalability, and cost efficiency. Requirements Discovery & Business Partnership Bring genuine curiosity to every engagement — ask the right questions to understand not just what stakeholders are asking for, but why. Apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and refine business requirements, surfacing gaps or better alternatives where they exist rather than simply executing a brief as written. Collaboration Work closely with data scientists, ML engineers, analysts, and business stakeholders to translate requirements into robust data solutions. Support adoption of data products and contribute to best practices across the data and AI ecosystem. Must have qualifications Technical skills Strong hands-on experience with Apache Spark and Delta Lake, and strong programming skills in Python and SQL. Proven experience building batch and streaming data pipelines and production-grade data platforms, with solid understanding of data modeling, data quality, and governance principles. Cloud & Platforms (Key Requirement) Experience with one or more major cloud platforms, with preference for Microsoft Azure / Fabric, as well as AWS or GCP. Familiarity with modern data platforms such as Databricks and Snowflake is expected. Architecture & Systems Thinking Experience with lakehouse architectures and distributed data systems, and strong understanding of scalability, reliability, and performance considerations in data pipelines. Mindset Naturally curious, with strong problem-solving skills focused on scalability and reliability, and a collaborative approach to working in cross-functional teams. Comfortable applying common sense thinking, detailed analysis, and experience-based recommendations to help derive and challenge business requirements rather than taking them at face value. Experience in Agile or consulting environments is beneficial. Nice to have qualifications   Experience with GenAI and AI data systems (e.g., RAG pipelines, vector databases, LLM data preparation), as well as CI/CD for data pipelines and infrastructure-as-code tools such as Terraform, ARM, or CloudFormation.  Additional exposure to streaming technologies (e.g., Kafka), Spark optimization, or advanced analytics and ML workloads (including causal or experimentation platforms) is valuable. Experience building data products or large-scale analytics platforms is also beneficial.  Commitment to reaching all kinds of people  We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.  The benefits   * Private health insurance We hope you will never need it, but nevertheless, we offer private health insurance to all our employees. * Education program We never stop learning, that’s why we offer our employees an educational program with training and certification. * Wellbeing program We all deserve to live a healthy and well-balanced life. It's not an option, it's a necessity! * Free beverages Enjoy free coffee, drinks, and snacks at work, or join one of our famous company dinners. * Events We enjoy spending time together, not only at work. Ski trips, carting, laser-tag, wine tasting, picnics, cooking classes… you name it – we’ve done it! There are plenty of cool events to join and to get to know your colleagues. * Competitive conditions Besides a competitive salary and 24 days of vacation, you will join annual company events with the whole team. * Challenging projects Ready for a challenge? We guarantee you'll find challenging projects at Valtech! * Cool colleagues What's the most important thing in a job? Cool colleagues with whom you spent most of the time during the week. We have a lot of them! * Honest feedback Honesty, openness and respect are among our core values. We encourage an open feedback culture in order to build trust and grow together. Your application process Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud! We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.  About Valtech Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.  At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.  At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.  Are you ready to create what’s next? Join us.

Asta Agency AB

Om företaget NetNordic är en ledande nordisk systemintegratör och tjänsteleverantör som specialiserar sig på cybersäkerhet, moln, nätverk och samarbetslösningar. Med över 700 anställda och fler än 3000 kunder i Norden, hjälper de företag och organisationer att optimera sin digitala infrastruktur. De samarbetar med marknadsledande teknikleverantörer och erbjuder skräddarsydda lösningar, från design och implementering till support och drift. Deras vision är att vara kunders viktigaste "Best Companion" genom deras digitaliseringsresa. Du kommer att tillhöra ett team med cirka 15 erfarna specialister och arbeta nära både svenska och internationella kunder. Här finns en entreprenöriell miljö med hög kompetens, stort eget ansvar och goda möjligheter att utvecklas tillsammans med kunniga kollegor. Vi på Asta Agency samarbetar med NetNordic i den här rekryteringsprocessen. Processen sker genom Asta och du blir sedan anställd direkt hos NetNordic. Om tjänsten Som Senior Azure-konsult blir du en viktig del av ett seniort team som hjälper enterprisekunder att utveckla, säkra och framtidssäkra sina Microsoftbaserade molnmiljöer. Rollen passar dig som kombinerar ett starkt intresse för Azure-infrastruktur och arkitektur med en trygghet i den konsultativa dialogen. Du arbetar projektbaserat i varierande uppdrag och har ofta flera kunddialoger parallellt. Det kan handla om att analysera en befintlig Azure-miljö, identifiera risker och kostnadspotential, ta fram förbättringsplaner eller designa och implementera moderna lösningar inom governance, säkerhet och identitet. Du är med genom hela leveransen, från rådgivning och analys till praktiskt genomförande. Exempel på arbetsuppgifter: Analysera kunders Azure-miljöer och identifiera förbättringsområden, risker och kostnadsoptimering. Ta fram åtgärdsplaner och driva förbättringar inom exempelvis kostnadsoptimering, loggning och övervakning. Utveckla automatiserade governance-ramverk med Bicep, PowerShell, Microsoft Graph API och Azure DevOps. Automatisera infrastruktur och deployment genom Infrastructure as Code. Implementera säkra lösningar för identitet och åtkomst, exempelvis RBAC, PIM och management group-hierarkier. Kvalifikationer och egenskaper För att trivas i rollen är du trygg och prestigelös samt gillar att samarbeta med andra specialister. Du har ett tydligt kundfokus, kommunicerar professionellt och kan förklara komplexa tekniska frågor på ett begripligt sätt. Eftersom rollen innebär flera parallella uppdrag behöver du även vara strukturerad, självgående och bekväm med att ha många kontaktytor. Vi ser gärna att du har erfarenhet inom flera av områdena nedan, men du behöver inte uppfylla samtliga krav. Det viktigaste är att du har en stabil grund inom Azure-infrastruktur, ett säkerhetsmedvetet arbetssätt och en vilja att fortsätta utvecklas tillsammans med teamet och kunderna. Därtill har du: Djup kompetens inom Azure governance, säkerhet och identitet. Erfarenhet av Infrastructure as Code och automatisering. God förståelse för Microsoft Cloud Adoption Framework och Well-Architected Framework. Erfarenhet av att designa lösningar i komplexa enterprise-miljöer. Erfarenhet av att driva förbättringar inom kostnad, compliance och drift. Vana av att arbeta nära kund och leda konsultleveranser. Mycket god kommunikativ förmåga på svenska och engelska, i tal och skrift. Meriterande: Certifieringar inom Microsoft Azure, exempelvis AZ-104 och AZ-305. Övrig information Start: Enligt överenskommelse Plats: Solna, förekommer arbete på plats hos kund och möjlighet till hybridarbete Omfattning: Heltid Lön: Enligt överenskommelse Vi tillämpar löpande urval i denna process vilket innebär att tjänsten kan tillsättas innan annonsen avpubliceras. Vi rekommenderar dig därför att ansöka så snart som möjligt! Har du frågor eller funderingar kring Asta Agencys rekryteringsprocess, tveka inte att höra av dig till kandidat@astaagency.se. Om Asta Agency Asta Agency är ett rekryterings- och bemanningsföretag som hjälper företag att hitta rätt tjänstemän i hela Sverige med fokus på Stockholm, Göteborg och Malmö. Vi rekryterar och hyr ut specialister och generalister inom försäljning, marknad, HR, kundservice, ekonomi, administration, IT och tech. Med fokus på kvalitet, långsiktighet och smarta lösningar stöttar vi både företag och kandidater i nästa steg. Läs mer om hur vi arbetar med rekrytering, bemanning och hyrrekrytering på astaagency.se.

Avaron AB

About the Company At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists across everything from tech, IT and industry to project management and business support – and whatever the assignment, you have a consultant manager who is there for you and your development. About the Role You will take a key role in building, hardening, and running a GitOps-based delivery platform on Kubernetes. The environment combines JFrog Artifactory as the governed artifact source with ArgoCD as the declarative delivery engine, and the work spans both platform reliability and secure software delivery. This is a hands-on role for you if you enjoy stepping into an existing setup, understanding how the pieces fit together, and improving it with clear technical choices. You will work independently, solve complex operational issues, and create solutions that are sustainable through documentation and knowledge sharing. It is an exciting opportunity to influence a modern cloud-native platform where your technical decisions will have clear impact. Job DescriptionYou will manage and govern JFrog Artifactory, including configuration, administration, permissions, and supply chain scanning. You will build, maintain, and improve GitOps workflows for Kubernetes-based delivery. You will deploy, operate, and troubleshoot ArgoCD in a production environment. You will run and support Kubernetes in production, including deployments, services, ingress, RBAC, networking, and resource management. You will work with Helm and Kustomize to structure and manage application delivery. You will use Git and CI/CD practices to strengthen reliable and repeatable delivery flows. You will work across Azure and AWS, with a focus on services connected to Kubernetes and secure identity handling. You will document solutions and share knowledge with internal teams to ensure long-term maintainability. RequirementsStrong hands-on experience with JFrog Artifactory, including configuration, administration, and operations Strong operational Linux experience, including CLI, shell scripting, networking, logs, permissions, and container troubleshooting such as namespaces and cgroups Hands-on Kubernetes experience with deployments, services, ingress, RBAC, networking, resource management, Helm, and Kustomize Practical experience deploying and managing ArgoCD Solid experience with Git workflows and CI/CD pipelines Experience with Azure services such as AKS, Entra ID, VNet, Private Endpoints, and Workload Identity Experience with AWS services including ECR and IAM Practical experience running both ArgoCD and Artifactory in these cloud environments You are comfortable working independently, making technical decisions, and delivering high-quality solutions with minimal supervision Nice to haveExperience with JFrog Xray or Curation Experience with AKS Terraform Prometheus and Grafana External Secrets and/or Vault Container and image security GitHub Actions GitHub Enterprise administration Python automation What We OfferPermanent employment at Avaron AB Occupational pension Wellness allowance of SEK 5,000 per year Application Selections are made on an ongoing basis – apply as soon as you can.

Cognizant Technology Solutions Sweden AB

What makes Cognizant a unique place to work? The combination of rapid growth and an international and innovative environment! This is creating a lot of opportunities for people like YOU — people with an entrepreneurial spirit who want to make a difference in this world. At Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the world's leading companies and help them become more flexible, more innovative and successful. Snowflake Developer is responsible for designing, building, and optimizing data pipelines using Snowflake and IDMC. Build and maintain ETL/ELT workflows and data pipelines using Snowflake and IDMC to process large datasets efficiently. Design data models, create and maintain views, stored procedures, and other database objects in Snowflake, optimize data storage, and ensure scalability in Snowflake. Implement data governance, access controls, and encryption to protect sensitive information. Key Responsibilities: Analyse business requirements and translate them into technical solutions. Design, develop, and implement ETL/ELT pipelines to migrate data from Teradata to Snowflake. Optimize migration processes ensuring data integrity, accuracy, and performance. Create and manage Snowflake objects (tables, views, schemas, stages, procedures). Implement partitioning, clustering, and performance tuning strategies. Implement and manage Snowflake features such as Snowpipe, Streams, Tasks, and Time Travel Develop and maintain data models, schemas, and stored procedures in Snowflake SQL Monitor and tune Snowflake performance, including warehouse sizing and query optimization and ensure efficient resource utilization and cost optimization. Manage external stages, storage integrations, data security, access controls, and role-based permissions in Snowflake Automate data ingestion from various sources using Snowflake connectors and external stages using different file format, code pages, and any integration with Saas tools (e.g. dbt cloud, Fivetran, Databricks etc). Rewrite and optimize Teradata SQL scripts, macros, and stored procedures for Snowflake compatibility. Develop reusable scripts for automation of migration tasks (Python, Shell etc.). Conduct data reconciliation between Teradata and Snowflake post-migration. Work closely with data architects, analysts, and business stakeholders to understand requirements Document migration processes, best practices, and technical solutions. Technical Skills: Strong hands-on experience with Snowflake cloud data warehouse. Knowledge of Snowflake features: Time Travel, Cloning, Micro-partitions, Streams & Tasks. Hands on experience in Snowflake features like external stages, Snowpipe, storage integration, File Formats, RBAC etc Strong experience with SQL and various database technologies (Oracle, Teradata SQL Server, PostgreSQL, etc.). Knowledge of DevOps and CI/CD practices for data pipelines and workflows. Experience in data engineering or database development, particularly with data migrations. Experience in different batch processing and data loading/transformation strategies. Proficiency in scripting for automating regular or repeating task (python, shell scripting etc). Understanding of Teradata architecture, SQL, and utilities (BTEQ, FastLoad, MultiLoad, TPT). Experience in analysing and converting Teradata-specific functions to Snowflake equivalents. Strong problem-solving and analytical skills. Snowflake SnowPro Certification is a plus Experience in banking and financial services will be preferred. The Cognizant community: We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive. Cognizant is a global community with more than 300,000 associates around the world. We don’t just dream of a better way – we make it happen. We take care of our people, clients, company, communities and climate by doing what’s right. We foster an innovative environment where you can build the career path that’s right for you. About us: Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws. Disclaimer: Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Cognizant Technology Solutions Sweden AB

What makes Cognizant a unique place to work? The combination of rapid growth and an international and innovative environment! This is creating a lot of opportunities for people like YOU — people with an entrepreneurial spirit who want to make a difference in this world. At Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the world's leading companies and help them become more flexible, more innovative and successful. Snowflake Developer is responsible for designing, building, and optimizing data pipelines using Snowflake and IDMC. Build and maintain ETL/ELT workflows and data pipelines using Snowflake and IDMC to process large datasets efficiently. Design data models, create and maintain views, stored procedures, and other database objects in Snowflake, optimize data storage, and ensure scalability in Snowflake. Implement data governance, access controls, and encryption to protect sensitive information. Key Responsibilities: Analyse business requirements and translate them into technical solutions. Design, develop, and implement ETL/ELT pipelines to migrate data from Teradata to Snowflake. Optimize migration processes ensuring data integrity, accuracy, and performance. Create and manage Snowflake objects (tables, views, schemas, stages, procedures). Implement partitioning, clustering, and performance tuning strategies. Implement and manage Snowflake features such as Snowpipe, Streams, Tasks, and Time Travel Develop and maintain data models, schemas, and stored procedures in Snowflake SQL Monitor and tune Snowflake performance, including warehouse sizing and query optimization and ensure efficient resource utilization and cost optimization. Manage external stages, storage integrations, data security, access controls, and role-based permissions in Snowflake Automate data ingestion from various sources using Snowflake connectors and external stages using different file format, code pages, and any integration with Saas tools (e.g. dbt cloud, Fivetran, Databricks etc). Rewrite and optimize Teradata SQL scripts, macros, and stored procedures for Snowflake compatibility. Develop reusable scripts for automation of migration tasks (Python, Shell etc.). Conduct data reconciliation between Teradata and Snowflake post-migration. Work closely with data architects, analysts, and business stakeholders to understand requirements Document migration processes, best practices, and technical solutions. Technical Skills: Strong hands-on experience with Snowflake cloud data warehouse. Knowledge of Snowflake features: Time Travel, Cloning, Micro-partitions, Streams & Tasks. Hands on experience in Snowflake features like external stages, Snowpipe, storage integration, File Formats, RBAC etc Strong experience with SQL and various database technologies (Oracle, Teradata SQL Server, PostgreSQL, etc.). Knowledge of DevOps and CI/CD practices for data pipelines and workflows. Experience in data engineering or database development, particularly with data migrations. Experience in different batch processing and data loading/transformation strategies. Proficiency in scripting for automating regular or repeating task (python, shell scripting etc). Understanding of Teradata architecture, SQL, and utilities (BTEQ, FastLoad, MultiLoad, TPT). Experience in analysing and converting Teradata-specific functions to Snowflake equivalents. Strong problem-solving and analytical skills. Snowflake SnowPro Certification is a plus Experience in banking and financial services will be preferred. The Cognizant community: We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive. Cognizant is a global community with more than 300,000 associates around the world. We don’t just dream of a better way – we make it happen. We take care of our people, clients, company, communities and climate by doing what’s right. We foster an innovative environment where you can build the career path that’s right for you. About us: Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws. Disclaimer: Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Experis AB

Vill du vara med och bygga något från grunden i ett projekt som har betydelse för Sveriges försvar och samhällssäkerhet? Hos Carmenta får du arbeta i ett tekniskt avancerat utvecklingsprojekt där ni utvecklar ett försvarsoperativt system för informationsbearbetning och taktisk analys. Här bidrar du till något större: att skapa förutsättningar för ett säkrare samhälle. Bakgrund - ett projekt med verklig betydelse Carmenta har en lång historia av att utveckla mjukvara för försvar och kritiska system. Idag bygger vi ett försvarsoperativt system för informationsbearbetning och taktisk analys som fungerar som en central nod i ett nätverk av system där information samlas in och delas vidare från ex sensorer, drönare och ledningssystem. Det möjliggör att skapa en helhetsbild av läget och stödja beslut i realtid. En central del i lösningen är förmågan att analysera och modellera vad som kan komma att hända framåt i flera parallella scenarier. Utvecklingen sker nära verkligheten och lösningen vidareutvecklas i internationella samarbeten, ex i NATO-övningar som CWIX, där system utvärderas i realistiska scenarion. <img src="https://sae3ndp007.blob.core.windows.net/swe/15321745-cf45-4e3c-aaca-2a2603e07243.jpg"> Om rollen I rollen som backendutvecklare arbetar du med utveckling i .NET i gränslandet mellan data, analys och integration där informationsflöden, integrationer och säker hantering av data står i centrum. Du blir en del av ett självorganiserande team som tar fram ett modernt och intelligent system i nära samverkan med Försvarsmakten. Här finns stort utrymme att påverka tekniska lösningar och arkitektur i ett system som spelar en central roll i informationsutbytet mellan aktörer inom försvar och säkerhet. Eftersom lösningen är under uppbyggnad och många delar fortfarande formas, får du vara med och driva hur funktionalitet och säker hantering av information ska utformas. Rollen innebär i korthet att du: Utvecklar och vidareutvecklar backendlösningar i C#/.NET Arbetar med integrationer mot andra system och standarder Bygger och utvecklar informationsmodeller för att hantera och analysera data Implementerar lösningar för säker kommunikation och åtkomst Tolkar och implementerar olika kommunikations- och dataformat Framåt kommer du tillsammans med dina kollegor bygga upp och vidareutveckla autentisering och auktorisering i systemet, med fokus på identitet, åtkomst och säker kommunikation. Teknik & arbetssätt På Carmenta arbetar du i en systemmiljö där integrationer och säker informationshantering står i fokus. Du blir en del av ett agilt team med kollegor i Stockholm och Göteborg där samarbete, initiativförmåga och prestigelöshet är viktiga delar av vardagen. Tekniker och verktyg du kommer att arbeta med: .NET / C# för backendutveckling API:er och kommunikation (ASP.NET Core, REST/OpenAPI, gRPC) Databaser och datalagring (Entity Framework Core & PostgreSQL) Test och leveransflöde (GitLab CI/CD & xUnit) Din profil Vi söker dig som trivs i en roll där du får ta ansvar och vara med och påverka. Du är nyfiken, lösningsorienterad och gillar att ta dig an problem där det inte alltid finns ett givet svar och där allt inte är färdigdefinierat. Som person kommer du till din fulla rätt när du får ta egna initiativ och bolla idéer med dina kollegor och när lösningen alltid står i fokus. Vi söker dig som har: Civilingenjörsexamen i datateknik eller annan för tjänsten relevant inriktning Flerårig erfarenhet av utveckling i C#/.NET - fullstack eller backend i agila sammanhang God förståelse för tekniker inom autentisering och auktorisering, exempelvis OAUTH2/OIDC, SAML, PKI, X.509, JWT, RBAC eller Kerberos Arbetat med API:er och integrationsprotokoll (REST, gRPC, OpenAPI, XML/SOAP) Medborgarskap från EU-land och behärskar flytande svenska i tal och skrift Meriterande erfarenheter: Containerbaserade miljöer (Docker, Kubernetes, Linux, DevOps) Databaser och modellering (SQL, PostgreSQL, EF Core, UML/ER) Militära informationssystem, försvarsrelaterade ledningssystem, GIS-system eller dokumenthanteringssystem Därför Carmenta Hos Carmenta blir du en del av ett team där utveckling handlar om mer än teknik - det handlar om att tillsammans lösa komplexa och meningsfulla problem i ett sammanhang som verkligen gör skillnad. Här får du möjlighet att arbeta i ett stort och långsiktigt projekt där du är med och formar lösningar från grunden, i nära samarbete med erfarna kollegor och i en miljö präglad av hög tillit och nyfikenhet. Hos oss får du möjlighet att: Vara med och påverka från grunden - du är med och utformar ett avancerat system där dina tekniska vägval gör skillnad Arbeta med komplexa och meningsfulla problem - i ett sammanhang som bidrar till försvar och samhällssäkerhet Utvecklas i en långsiktig miljö - med tydlig produktvision, stabilitet och möjlighet att växa över tid Låter det intressant? Tjänsten är en tillsvidareanställning med placering i centrala Göteborg. Carmenta tillämpar ett flexibelt hybridupplägg för att underlätta vardagen för våra medarbetare. I den här rekryteringen samarbetar vi med Experis. Har du frågor eller funderingar är du varmt välkommen att kontakta vår rekryterare Jenny Lilja på jenny.lilja@se.experis.com. Vi har semester v.28-32 men uppmuntrar dig att visa ditt intresse redan nu och lägga in din ansökan under tiden. Du kan förvänta dig återkoppling från v.33. Visa ditt intresse genom ansökan, så att dialogen kan starta. Vi ser fram emot att veta mer om dig!

UMEÅ KOMMUN

Vill du bygga Sveriges kanske mest spännande IAM-miljö inom offentlig sektor? Varje dag använder över 40 000 personer Umeå kommuns digitala tjänster. Bakom varje inloggning, behörighet och digital identitet finns en avancerad identitetsplattform som säkrar rätt åtkomst till rätt resurser vid rätt tidpunkt. Nu söker vi två IAM-specialister som vill vara med och utveckla nästa generation av identitets- och behörighetsstyrning i en av Sveriges största kommunala IT-miljöer. Hos oss får du möjlighet att arbeta med hela identitetslivscykeln – från automatiserad provisionering och federerad inloggning till governance, attestflöden, rollmodeller och framtidens Zero Trust-arkitektur. Nyfiken på rollen men inte bosatt i Umeå? Läs mer om vår stad här! Om vår miljö Vår IAM-plattform hanterar idag identiteter, behörigheter och åtkomst för: Cirka 40 000 användare Över 300 integrerade verksamhetssystem Active Directory Microsoft Entra ID Google Workspace Federerade identitetslösningar som ADFS, SITHS, BankID och Freja eID Vi arbetar redan idag med en hög grad av automatisering där identiteter och behörigheter provisioneras utifrån organisationstillhörighet, anställning, uppdrag och roll. Samtidigt genomför vi en omfattande modernisering av vår IAM- IDM och IGA-arkitektur för att möta framtida krav inom: GDPR NIS2 Cybersäkerhetslagen Spårbarhet och revision Zero Trust Least Privilege Det innebär att du får vara med och påverka design, arkitektur och implementation av nästa generations identitetsstyrning. Vad du kommer att arbeta med Hos oss arbetar du inte enbart med drift eller support. Du kommer att vara en aktiv del i att: utveckla och förvalta kommunens IAM- och IGA-plattform designa identitets- och behörighetsmodeller bygga integrationer mot verksamhetssystem utveckla automatiserad provisionering och deprovisionering etablera åtkomststyrning (RBAC/ABAC) införa attest- och governanceprocesser säkerställa efterlevnad av NIS2, GDPR och Cybersäkerhetslagen vidareutveckla vår federations- och autentiseringsplattform delta i arkitektur- och säkerhetsarbete tillsammans med verksamhet och IT Tekniker och områden du kan komma att arbeta med Identity & Access Management (IAM) Identity Governance & Administration (IGA) OpenText Identity Manager (IDM) eDirectory Active Directory Microsoft Entra ID LDAP SCIM REST API Federation (SAML, OAuth2, OpenID Connect) PKI och e-legitimationer PowerShell Linux Behörighetsstyrning och RBAC Vad vi letar efter Vi söker dig som vill vara med och designa, säkra och bygga det vi ska ha imorgon samt förädla det vi har idag. För att lyckas med detta behöver du ha: Gymnasieutbildning Några års erfarenhet av arbete med identiteter, behörigheter och säker åtkomst (Identity & Access Management (IAM)) Obehindrade kunskaper i svenska i tal och skrift samt goda kunskaper i engelska Vi tror även att du har erfarenhet inom ett eller flera av följande områden: IAM IDM IGA Katalogtjänster LDAP Federation Behörighetsstyrning IT-säkerhet Systemintegration Det viktigaste är inte vilken produkt du arbetat med tidigare, utan att du förstår identiteter, behörigheter och säker åtkomst. Har du erfarenhet av OpenText Identity Manager, SailPoint, Omada, One Identity, Saviynt, Okta eller Microsofts identitetsplattformar ser vi det som meriterande, likväl om du har en eftergymnasial utbildning inom IT. Tre saker är avgörande för att du ska trivas och lyckas hos oss: Du bidrar aktivt till att teamet tar fram nya lösningar där minsta behörighetsprincip (Least Privilege) och spårbarhet är en självklarhet. Du diskuterar prestigelöst. Du kan utmana befintliga val och väga tekniska alternativ utan att vara låst vid ett enskilt leverantörsekosystem. Vi värdesätter att du kan se när standarder (t.ex. SCIM, OIDC) bör prioriteras framför egenutveckling för långsiktig hållbarhet. Du kommunicerar med verksamheten. En stor del av arbetet handlar om att översätta komplexa tekniska säkerhetsbeslut till begriplig nytta för systemägare och förvaltningar som saknar teknisk bakgrund. Du klarar den bryggan galant tillsammans med IAM teamet. Vi erbjuder en trygg miljö där du får stöd och möjlighet att utvecklas. I våra team får du chansen att växa och bygga din kompetens. Vi ser fram emot att få veta mer om dig och hur du vill växa tillsammans med oss. Välkommen med din ansökan!  Om Umeå kommun Umeå kommun är regionens största arbetsgivare med över 13 000 viktiga medarbetare. Vår organisation är indelad i nio förvaltningar och tillsammans jobbar vi för att Umeå ska växa med omtanke. Vår värdegrund utgår från medborgarfokus, öppenhet, tillit och ständiga förbättringar. Tillsammans med oss får du jobba i samhällsviktiga uppdrag där du bidrar till att Umeå fortsätter vara tryggt, säkert och roligt. Umeå är norra Sveriges största stad med ett rikt utbud av upplevelser och möjligheter. Vi är en förenings- och kulturstad som erbjuder ett rikare liv även utanför jobbet. Här kan du ta del av hur det är att leva och bo i Umeå: Flytta - Umeå kommun Vi ska bli fler och därför söker vi kanske just dig? Vill du också mer? Vi erbjuder schyssta villkor, bra förmåner och goda utvecklingsmöjligheter för ett livslångt lärande, samt jobb som är viktiga för alla dem som lever och verkar här. Vi ser fram emot att höra från dig.

Iver Accelerate AB

Vill du ta din expertis inom Azure till nästa nivå? Vi söker en person med erfarenhet inom Microsoft Cloud som vill vara med och designa, bygga och optimera framtidens molnlösningar tillsammans med oss på Accelerate. Hos oss får du inte bara arbeta med moderna tekniker och spännande uppdrag – du blir en del av ett värderingsdrivet och passionerat team där du får goda möjligheter till personlig utveckling. Varför Accelerate? Vi erbjuder dig mer än ett uppdrag – vi erbjuder en plattform för att växa som expert inom Microsoft Cloud så som Azure Infrastruktur, Azure DevOps och andra Microsoft Cloud lösningar! Hos oss får du chansen att arbeta i en modern och framtidsinriktad molnmiljö tillsammans med erfarna kollegor som är Microsoft MVP och Microsoft Certified Trainer inom Azure. Här blir du en del av en kultur där vi lär av varandra och bygger lösningar som verkligen gör skillnad hos våra kunder. Som konsult hos oss får du: En skräddarsydd utvecklings- och certifieringsplan Utmanande och varierande uppdrag med de senaste teknikerna Flexibilitet, frihet och balans mellan jobb och fritid Kollektivavtal, friskvårdsbidrag och sjuk- och hälsoförsäkring Ett sammansvetsat team av vassa specialister som lyfter varandra En trygg och säker anställning med bra förmåner Vi tror på gemenskap och kompetensutbyte – här utvecklas vi tillsammans och stöttar varandra för att alltid ligga i framkant. Om rollen Som Azure Cloud Engineer hos oss är du en nyckelspelare i att skapa stabila, säkra och moderna molnplattformar åt våra kunder. Du blir motorn bakom en friktionsfri resa från kod till produktion genom att automatisera, effektivisera och optimera kundernas Azure-miljöer. Vi ser dig som den som frigör kraften i molnet, så att utvecklingsteamen kan fokusera på innovation. Exempel på vad du kommer att göra: Bygga och underhålla en modern, säker och skalbar infrastruktur i Azure med Infrastructure as Code. Hantera lösningar inom PaaS (Platform as a Service) och IaaS (Infrastructure as a Service), inklusive Azure VM, Azure Virtual Desktop, Azure Kubernetes Service (AKS), Azure Container Apps m.m. Säkerställa governance och compliance genom att implementera och hantera Azure Policy, RBAC och Workload Identity Federation. Optimera och implementera effektiva lösningar för monitorering och loggning med hjälp av Azure Monitor, Log Analytics och Application Insights. Säkerställa hög tillgänglighet och lösa komplexa utmaningar inom nätverk och säkerhet i Azure. Vem är du? Vi söker dig som är har gedigen erfarenhet som Cloud Engineer och som brinner för Cloud lösningar såsom Azure, automation och säkerhet. Du har ett lösningsfokuserat mindset och vill hjälpa våra kunder att bygga hållbara och effektiva molnlösningar. Du uttrycker dig obehindrat på svenska och engelska i både tal och skrift. För denna position krävs svenskt medborgarskap, vi utför även bakgrundskontroll av slutkandidat. Vi tror att du gillar att jobba med: Cloud Infrastruktur: Azure VM, Azure Network, Azure Virtual Desktop, Azure Kubernetes Services Azure-tjänster som Function Apps, App Services, Key Vault och Storage Accounts Säkerhet och compliance: Entra ID, Managed Identities, RBAC, Azure Policy, Microsoft Security Monitorering och loggning: Azure Monitor, Log Analytics, Application Insights Infrastructure as Code: som t ex Bicep Erfarenhet av att bygga cloudmiljöer enligt CAF (Cloud Adotions Framework) eller liknande. Plus om du har: Certifieringar som AZ-104 och/eller AZ-204 Erfarenhet av: Azure Landing Zones AZ-400, AZ-305 eller motsvarande Placeringsort Accelerate finns på flertal orter i Sverige och Norge. För denna tjänst utgår du från vårt kontor i Göteborg, med möjlighet till hybridarbete. Önskad start är snarast eller enligt överenskommelse. Har du frågor? Kontakta Jesper Carlsson på jesper.carlsson@iver.se Vi ser fram emot att träffa dig! Välkommen till Accelerate

GÖTEBORGS KOMMUN

Om jobbet Vi söker en systemspecialist med kompetens inom Red Hat-ekosystemet och containerplattformar baserade på OpenShift/Kubernetes. Personen kommer ha en central roll i drift och automation men även i vidareutvecklingen av verksamhetskritiska plattformstjänster med höga krav på tillgänglighet, säkerhet och stabilitet. Rollen kräver både strategisk höjd och operativ förmåga, där medarbetaren förväntas kunna leda tekniska initiativ, stötta driftorganisationen och bidra i arkitektur- och säkerhetsfrågor. Arbetet som systemspecialist innefattar följande dagliga rutiner i vår containerplattform: -drift, administration och vidareutveckling av vår OpenShift/Kubernetes-plattform -säkerställande av hög tillgänglighet, säkerhet och prestanda -incidenthantering och felsökning -stöd till utvecklingsteam kring containerisering och CI/CD -dokumentation, standardisering -delta i projekt/införanden  Om dig Vi söker dig som har högskoleutbildning inom relevant område, alternativt motsvarande erfarenhet som vi bedömer likvärdig. Vi ser också att du har minst ett års erfarenhet av att ha arbetat med Openshift/Kubernetes och drift av container i produktionsmiljö. Du är trygg i komplex felsökning och har erfarenhet av produktionskritiska miljöer. Du kan fatta tekniska beslut själv och stöttar både drift och utvecklingsteam. Vi har också som krav att du har arbetat med skriptspråk tidigare likt Bash eller Python och har erfarenhet av Infrastructure as Code. Du talar och skriver svenska, såväl som engelska, obehindrat. Det är meriterande om du har arbetat tidigare med: -ArgoCD -Ansible Helm -VMware Ceph eller annan container storage Det är också meriterande om du har erfarenhet av: -hybrid- eller multicloudmiljöer  -säkerhetshardening -IAM/RBAC -sårbarhetshantering -loggning och övervakning Vidare är det även meriterande om du har god förståelse för nätverk , DNS Certifikat/TLS, Load balancing, LDAP/AD-integration samt om du har certifieringar i Red Hat Certified Engineer (RHCE) eller i Red Hat OpenShift Certification.  Som person är du självständig på så sätt att du har mod och förmåga att fatta egna beslut inom ramen för ditt uppdrag utan att vara beroende av andra. Du tar ansvar för dina uppgifter och driver arbetet framåt. Vidare är du utvecklingsorienterad då du motiveras av att lära dig nya saker och utvecklas. Du kommer själv med nya idéer och tar initiativ till förbättringar. Du omvärldsbevakar aktivt inom ditt yrkesområde och reflekterar regelbundet över vad som behöver utvecklas i din verksamhet.  Vi ser också att du är serviceinriktad i ditt bemötande. Du är positiv, hittar lösningar och vill hjälpa till. Du förstår vad de vi är till för behöver och ser till att de blir nöjda. Du samarbetar bra med andra genom att du lyssnar, visar intresse och respekt. Du förstår det gemensamma uppdraget och arbetar för att det ska bli så bra som möjligt. Du är också strukturerad på så sätt att du planerar, organiserar och prioriterar arbetet på ett effektivt sätt. Du ser till att arbetet slutförs i tid och följer upp resultatet. Övrigt Arbetet sker främst på vardagar under kontorstid, men kvälls- och helgarbete samt beredskap kan förekomma vid behov. Urval sker löpande och intervjuer planeras till vecka 32, 35 och 36. Du kommer att få befattningen systemspecialist hos oss. Om oss Intraservice levererar tjänster och digital infrastruktur som hjälper medarbetare och chefer i Göteborgs Stad att arbeta smart och effektivt. På så vis gör vi det enklare att arbeta i staden och skapar förutsättningar för en god service till göteborgarna. Vi har en central roll i stadens digitalisering och automatisering och våra kunder är Göteborgs alla förvaltningar och bolag. Vi är drygt 700 medarbetare som arbetar i centrala Göteborg. Hoppas du vill bli en av oss! Mer information: http://www.goteborg.se/intraservice Övrigt Som medarbetare på Intraservice delar du självklart Göteborgs Stads förhållningssätt: vi vet vårt uppdrag och vem vi är till för, vi bryr oss, vi arbetar tillsammans och vi tänker nytt. På Intraservice arbetar du i en kunskapsorganisation som ständigt utvecklas. Hos oss finns en hög grad av komplexitet och bredd samt många spännande uppdrag och roller. Mycket av det vi gör handlar om stora volymer, där du är med och bidrar till samhällsnytta för stadens verksamheter och i förlängningen för medborgarna. Vi arbetar både verksamhetsbaserat och tillitsbaserat, erbjuder flexibel arbetstid och eftersträvar balans mellan arbete och privatliv. Hos oss får du flera friskvårdsförmåner såväl som andra förmåner. Vill du veta mer om lön och våra förmåner? Du kan läsa mer om detta direkt på vår hemsida. Där hittar du också övergripande lönestatistik för de större yrkesgrupperna inom Göteborgs Stad Förmåner och lön - Göteborgs stad, information om Intraservice hittar du här Jobba på Intraservice - Göteborgs stad. Vår strävan är att både idag och i framtiden vara en attraktiv arbetsgivare! Vissa tjänster på Intraservice kan komma att innefattas av krigsplacering med allmän tjänsteplikt vid höjd beredskap eller krig. Likaså kan vissa tjänster komma att omfattas av bakgrunds- och registerkontroll. Då vi inför denna rekrytering redan tagit ställning till de rekryteringskanaler vi önskar använda undanber vi oss vänligen men bestämt att bli kontaktade för ytterligare erbjudanden om kompetensförmedling, annonserings- och rekryteringshjälp.

ACADEMIC WORK SWEDEN AB

Want to build and harden a cutting-edge GitOps delivery engine? We are seeking a Senior DevOps Consultant for an exciting hybrid role in Malmö where your technical decisions will shape how high-quality software is shipped. Apply today! About the role This is a consulting assignment, which means you will be employed by Academic Work and work as a consultant on site at our client's office in Malmö. The assignment is full-time, starting on 2026-09-01, and runs initially until March 31, 2027, with excellent opportunities for extension. The role applies a flexible hybrid work model. As a Senior Platform Engineer, you will enter a complex, distributed development environment where software is built both internally and by third-party suppliers. You will play a key role in ensuring software integrity, scalability, and security. You will become part of an open, supportive team that deeply values knowledge sharing, continuous learning, and high-quality engineering. As this position is located within a security-cleared environment, Swedish citizenship and a approved background security check are required prior to employment. Work tasks Building the Platform: Establish, maintain, and continuously improve a declarative GitOps-based delivery platform on Kubernetes using ArgoCD. Artifact & Supply Chain Governance: Manage and govern JFrog Artifactory, including configuring user permissions, network endpoints, and automated vulnerability scanning (Xray/Curation). Production Operations: Run, scale, and troubleshoot Kubernetes clusters (AKS) and handle deep container diagnostics in production environments. System Integration: Support the secure integration of external supplier and third-party software from a platform and configuration management perspective. Knowledge Transfer: Author SCM/DevOps documentation, establish best practices, and mentor internal development teams on branching and release strategies. Collaborate with DevOps teams to enhance and optimize CI/CD pipelines We are looking for We believe expertise can be gained from different sources and environments. What matters most is your seniority and ability to deliver sustainably without supervision. Advanced practical knowledge of Kubernetes infrastructure (AKS/Azure or AWS) including Helm, Kustomize, and RBAC. Advanced practical knowledge of ArgoCD and declarative GitOps delivery workflows. Good practical knowledge of configuring and securing JFrog Artifactory (Xray experience is a plus). Advanced practical knowledge of Linux system operations, shell scripting, and container troubleshooting. Excellent communication skills in English, both written and spoken. Eligibility for Swedish security clearance (requires Swedish citizenship). It is meritorious if you have Good practical knowledge of Infrastructure as Code using Terraform. Good practical knowledge of production monitoring systems (Prometheus & Grafana) and secrets management (HashiCorp Vault or External Secrets). Basic or Good knowledge of Python automation or GitHub Enterprise administration. To succeed in the role, your personal skills are: Goal oriented Orderly Assertive Intellectually curious

Hitachi Energy Sweden AB

We are looking for a talented Cyber Security Engineer to contribute to an IT/OT transformation team. Helping the organization “going from project to product”. Currently we are 8 engineers in the team and are looking to expand this rapidly to about 18 engineers in a year. Together as a team we will develop system solutions that our project team uses for end customer projects. Do you want to develop services and solutions? Then this job is for you! "This is a unique opportunity to be part of a growing team that’s set to transform how we work—by developing smart, scalable system solutions that reduce lead times in production and make our project teams more effective. You’ll be working at the intersection of IT and OT, solving real challenges and helping drive operational excellence. As one of the early team members, you’ll play a key role not just in what we build, but in how we work. There’s plenty of room for innovation, collaboration, and professional growth. If you’re ready to take on a new challenge, bring fresh ideas, and help shape the future of our operations—we’d love to hear from you." - Micael Nyström, Team Manager, System Solutions IT/OT Systems How you’ll make an impact You will be, as a team member, responsible for developing (and maintaining) new services/solutions to shorten project lead times. Giving support to colleagues regarding above mentioned solutions. Upon level of experience, mentoring junior associates and driving knowledge-sharing initiatives Upon level of experience, actively contributing to identifying and capturing opportunities for improvement Taking lead in Cyber Security activities/development within the team Your background B.Sc. or M.Sc. in Engineering (e.g., Electrical Engineering, Computer Science, Automation, or similar) or experience deemed equivalent. Experience in control systems, networking, or cybersecurity within industrial or power systems. Previous experience with network equipment such as firewalls, switches, GPS clocks, and redundant network designs and protocols. Experience in VLAN, Redundant protocols, Time Sync, RBAC, Network access control, VPN, PKI, SSL, IPSec, understanding of OT environment components and OT security, OSI layers Proven communication and collaboration skills; comfortable working with global teams and customers. Knowledge in Power Shell, C#, Python Fluent in English; Swedish is a strong advantage. More about us Are you ready for an exciting new challenge? Does the above description sound like you? You are welcome to apply! Applications will be reviewed on an ongoing basis, so don’t delay – apply today! The position might require a background check to be performed Recruiting Manager Micael Nystrom, micael.nystrom@hitachienergy.com, will answer your questions about the position. Union representatives – Union representatives – Sveriges Ingenjörer: Mikael Hjort, +46 107-38 25 73; Ledarna: Frank Hollstedt, +46 107-38 70 43; Unionen: Fredrik Holmgren, +46 107-38 21 85. All other questions can be directed to Talent Acquisition Partner Kevin Galloway, Kevin.galloway@hitachienergy.com Accessibility and reasonable accommodation Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process. This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response. Use of Al and automated tools in recruitment As part of our recruitment process, Hitachi Energy uses digital and automated tools, including Al-supported solutions, to assist with activities such as application screening, job matching, and interview scheduling. These tools are designed to support our recruiters and do not replace human decision-making. Candidate data is processed in accordance with applicable data protection and employment laws as well as Hitachi's Global Data Privacy Notice. Background Screening and Security Checks As part of the hiring process, Hitachi Energy conducts pre-employment background checks that may include verification of employment history, education, criminal records, and other relevant information, in accordance with applicable laws. For certain roles—particularly those involving access to sensitive information, financial responsibilities, client data, regulated environments, or security-sensitive functions—additional or more comprehensive background or security screenings may be required. These may include, but are not limited to, enhanced criminal history checks, credit history reviews (where legally permissible), sanctions screening, or other due diligence measures aligned with the responsibilities of the position. The scope and depth of any background or security review will be determined based on the nature of the role and business necessity, and will always be conducted in compliance with applicable federal, state, and local laws. Candidates will be notified and, where required, asked to provide consent prior to the initiation of any such checks.