Sökresultat för "distributed systems"

Build systems that manage thousands of time nodes in real-world 5G networks Net Insight, are building building Zyntai — a distributed platform that keeps telecom networks precisely synchronized. Today, the system supports roughly 2000 time nodes generating ~500,000 metric points per second, and the scale continues to grow. We’re looking for a Senior Cloud & Backend Engineer who wants to take ownership of complex systems and work close to both product and customers. The role You’ll join our Sync R&D organization (around 15 engineers) and be part of a team of 5 responsible for the backend platform behind Zyntai Director. Your work will include: Building and extending backend services and APIs (Node.js / TypeScript) Designing systems that scale to larger distributed networks Improving performance and reliability in metrics-heavy systems Adding new capabilities such as IPv6 support Investigating customer-reported issues and production bugs Supporting customer PoCs together with Tech Sales Collaborating with product owners on upcoming features Some days focus on feature development. Others on debugging real production issues. Both are core parts of the role. Ownership and responsibilities At Net Insight, there is no separate architecture department. Engineers are expected to take responsibility across the full lifecycle — from design and development to testing, troubleshooting, and continuous improvement. You won’t just implement solutions — you’ll help define them. Tech environment You’ll work in a modern cloud-native environment including: Node.js / TypeScript Kubernetes AWS Distributed systems Observability and metrics-heavy platforms API and networking-related functionality We are also investing heavily in AI-assisted development to improve both engineering workflows and future product capabilities. How we work We use Scrum/Kanban with daily standups and close collaboration across teams. The Sync organization operates like a startup within the company, with tight cooperation between R&D, Product, Sales, and Tech Sales. Engineers are often close to customers, supporting PoCs and helping resolve real-world issues. About you You are likely a senior engineer who enjoys solving complex problems and taking ownership beyond your own code. You probably have experience with: Backend development in production environments Distributed systems and scalability challenges Cloud platforms such as AWS, GCP, or Azure Designing reliable and maintainable systems Experience with Kubernetes, networking concepts, or large-scale metrics systems is beneficial. Why this role This role offers: Real engineering challenges at scale Broad responsibility across design, development, and operations Close collaboration with customers and product teams A startup-like environment within an established company Small teams with meaningful ownership WELCOME TO APPLY The position is permanent, full-time employment located at the headquarters in Solna. Net Insight values work-life balance; therefore, you can combine remote work and work from the office. Collective agreement with IT&Telekom, great compensation and benefits. ABOUT NET INSIGHT Net Insight is a pioneering technology company that powers large-scale live broadcast events, connecting millions of viewers globally. Since 2021, they have established a rapidly expanding solution area focused on Synchronization. Leveraging their patented TV distribution synchronization technology, the Zyntai product portfolio is designed for nationwide 5G and power networks. Net Insight is a global leader in media networks, resource optimization, and streaming solutions. More than 500 world-class customers run mission-critical media services using Net Insight’s solutions in more than 80 countries worldwide. ABOUT PINETREE At Pinetree, we have a vision and mission to differentiate ourselves from the crowd and are Sweden's contenders in talent search and matching. By working as an agency, the value to you as an employee is that we have a very wide network of partner companies that we continuously ensure high-quality standards. This recruitment is a direct employment at Net Insight AB and all applications, questions, administration, and recruitment process is managed by Pinetree AB.

Saab is a place where teamwork makes things fly. Literally. Join us and experience our supportive and friendly workplace. Your role As an IT Systems Engineer at Saab Naval, you will work with onboard IT systems for our submarine and surface vessel projects. You will be part of building and maintaining robust, secure, and high-performing IT environments in complex and distributed systems. You will collaborate closely with system engineers, developers, and other stakeholders to ensure that our onboard IT systems meet operational and technical requirements. Our systems combine in-house development with commercial components, integrated into advanced and mission-critical platforms. The main tasks are: Design, develop, and verify onboard IT systems and infrastructure Contribute to implementation through scripting, automation, and system configuration Analyse and review technical solutions and system architectures Define and maintain system documentation (design, instructions, policies) Support integration of internally developed and externally sourced systems Continuously improve system performance, reliability, and maintainability You will work from one of our centrally located offices in Lund or Karlskrona, with occasional travel within Sweden and internationally. Your profile You are a curious and solution-oriented engineer or developer who enjoys working in a collaborative and cross-functional environment. You have the ability to move from requirements and analysis into practical, working solutions. You value teamwork, knowledge sharing, and contributing to a positive and open engineering culture. Required skills: A degree in software engineering, IT, or a related field - or equivalent hands-on experience Experience in IT systems, software development, or infrastructure engineering Experience in working in a development team Experience with or interest in several of the following: Version control (Git), Scripting or programming (Python, Bash, PowerShell or similar), Linux and/or Windows environments, Virtualization (KVM, Hyper-V), Infrastructure as Code (Ansible, Terraform, Puppet) and/or Microsoft Active Directory Excellent communication skills in Swedish and English, both written and spoken Desired skills: Experience in system architecture or technical design Knowledge of DevOps / DevSecOps practices Experience working in product development environments Experience of working in complex, distributed systems This position requires that you pass a security vetting based on the current regulations around/of security protection. For positions requiring security clearance additional obligations on citizenship may apply. Please note that the selection process will begin in Week 34, starting after August 14. What you will be a part of Explore a wealth of possibilities. Take on challenges, create smart inventions, and grow beyond. This is a place for curious minds, brave pioneers, and everyone in between. Together, we achieve the extraordinary, each bringing our unique perspectives. Your part matters. Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world. Saab designs, manufactures and maintains advanced systems in aeronautics, weapons, command and control, sensors and underwater systems. Saab is headquartered in Sweden. It has major operations all over the world and is part of the domestic defense capability of several nations. Read more about us here. If you have any questions about the job, don´t hesitate to contact Mattias Bruzelius, recruiting manager +46 734 18 87 49

You will play a key role in designing, developing, and validating our backend system. You will work closely with our software and firmware teams to develop reliable, scalable backend services with a strong focus on quality, testing, and automation. Your experience in backend development and test engineering will be important in shaping and improving our platform. What you will do: Design, develop, and maintain backend services and systems using Go and the Twelve-Factor App methodology. Design, develop, and maintain automated test frameworks, test environments, and validation processes for backend systems and services. Define and implement test strategies covering functionality, integration, system, regression, and performance testing. Build tools and test harnesses to verify the reliability, scalability, and correctness of distributed systems. Optimize software for performance, efficiency, reliability, and scalability. Troubleshoot, debug, and analyze applications and test results to ensure smooth functionality. Collaborate with front-end developers, firmware engineers, and other stakeholders to deliver high-quality software solutions. Participate in code reviews and provide constructive feedback to team members. Your Profile Minimum of 5 years of experience in backend development, test engineering, or a similar role. Experience with Go is a strong advantage. We also welcome candidates with solid backend experience in other typed backend languages. Experience designing and implementing CI-based test execution for backend systems and distributed applications. Experience and familiarity with concurrent and asynchronous programming. Proven experience with RESTful API design, implementation, and testing. Strong familiarity with Linux-based IT systems and test or hosting environments. Knowledge of databases (PostgreSQL, Cassandra) and expertise with in-memory caching solutions (Redis or comparable). Experience with distributed event-streaming and messaging systems, such as Apache Kafka or NATS. Experience working with version control systems (Git) in collaborative environments. Excellent problem-solving skills and attention to detail, with the ability to make sound trade-offs based on business needs and technical requirements. Ability to work independently and as part of a team. You communicate clearly and are comfortable supporting and mentoring less experienced developers. Strong communication skills in English, written and spoken. Proficiency in Swedish is a plus.

You will play a key role in designing, developing, and validating our backend system. You will work closely with our software and firmware teams to develop reliable, scalable backend services with a strong focus on quality, testing, and automation. Your experience in backend development and test engineering will be important in shaping and improving our platform. What you will do: Design, develop, and maintain backend services and systems using Go and the Twelve-Factor App methodology. Design, develop, and maintain automated test frameworks, test environments, and validation processes for backend systems and services. Define and implement test strategies covering functionality, integration, system, regression, and performance testing. Build tools and test harnesses to verify the reliability, scalability, and correctness of distributed systems. Optimize software for performance, efficiency, reliability, and scalability. Troubleshoot, debug, and analyze applications and test results to ensure smooth functionality. Collaborate with front-end developers, firmware engineers, and other stakeholders to deliver high-quality software solutions. Participate in code reviews and provide constructive feedback to team members. Your Profile Minimum of 5 years of experience in backend development, test engineering, or a similar role. Experience with Go is a strong advantage. We also welcome candidates with solid backend experience in other typed backend languages. Experience designing and implementing CI-based test execution for backend systems and distributed applications. Experience and familiarity with concurrent and asynchronous programming. Proven experience with RESTful API design, implementation, and testing. Strong familiarity with Linux-based IT systems and test or hosting environments. Knowledge of databases (PostgreSQL, Cassandra) and expertise with in-memory caching solutions (Redis or comparable). Experience with distributed event-streaming and messaging systems, such as Apache Kafka or NATS. Experience working with version control systems (Git) in collaborative environments. Excellent problem-solving skills and attention to detail, with the ability to make sound trade-offs based on business needs and technical requirements. Ability to work independently and as part of a team. You communicate clearly and are comfortable supporting and mentoring less experienced developers. Strong communication skills in English, written and spoken. Proficiency in Swedish is a plus.

Cambio is one of the Nordics' leading suppliers in e-health with a comprehensive offering for the entire health and care chain. Our e-health solutions supports health care professionals in their daily work and offer patients safer and more easily accessible care. We are proud to be an important part of Swedish healthcare. We are growing continuously and now have about 1000 employees in several countries. The position As an AI First System Engineer at Cambio, you’ll design and build the intelligent systems powering the future of healthcare. This is not about adding AI on top — it’s about rethinking how systems are built from the ground up in an AI-first world. You’ll work at the intersection of architecture, AI, and product, shaping scalable and resilient solutions that enable new ways for millions of people to connect with healthcare. From defining system design and data flows to integrating AI capabilities into real-world applications, you’ll have a direct impact on how Cambio's HealthCare product evolves. You’ll operate in an autonomous and highly collaborative environment alongside Product teams and external stakeholders — while also helping set the standard for how Cambio builds modern, AI-native systems. We offer A true greenfield opportunity where you’ll help define not just features — but systems, architecture, and ways of working. Built on Cambio’s deep domain knowledge and best practices, this initiative takes an AI-first approach from day one. You’ll be an early adopter and a pioneer, shaping both the product and how we approach engineering across R&D. We believe in pragmatism, iteration, and building things that actually work in reality. We move fast, make decisions, and continuously improve — with efficiency as our team’s north star. About you We believe you're a curious and technically strong engineer who enjoys solving complex, real-world problems together with a talented team. You think in systems, not just features, and you're motivated by building solutions that are scalable, robust, and meaningful. You’re interested in how AI can fundamentally reshape how systems are designed — not just enhance existing ones. You’ll thrive in this role if you enjoy a fast-paced environment where ownership, transparency, and accountability are key. You bring a positive mindset, approach challenges with pragmatism, and keep a clear view of the bigger picture. At Cambio, we value initiative and personal growth. Our culture is built on Trust, Care, and Together—values we believe are important to both our work and our people. It’s important to us that you recognize and identify with these values. Requirements • Strong hands-on experience across frontend and backend development (code style does not matter). Strong backend experience is a plus. • Deep expertise in AI and applied AI solutions (you have built private and professional products and systems). • Solid systems engineering background — you understand how complex, distributed systems are designed, integrated, and scaled. • Proven experience taking products from concept through to launch and into live operation — you've owned the full lifecycle, not just parts of it. • Comfortable running and maintaining production systems, with a strong sense of reliability, observability, and operational ownership. It's a bonus if you have • Experience working with and optimizing Agentic/robotic or automated systems. Place of employment: Linköping or Stockholm Scope: Full-time, hybrid work model (three days per week in-office) Form of employment: Permanent employment, 6 months trial period Additional Information: The role involves access to sensitive information, therefore a background check will be conducted on the final candidate. We review applications and conduct interviews on a rolling basis, so we encourage you to apply as soon as possible via the link. We look forward to receiving your application! CAMBIO- FOR A HEALTHIER TOMORROW Welcome to a company where healthcare is improved every day. Here you will work with leading technology in a collaborative, trusting and empowering environment where your contribution will be appreciated and celebrated. In our caring culture you will have the opportunity to pursue different paths of professional growth. Seize the opportunity to do the most important work of your life. Read more about us here! A healthier tomorrow also means taking care of those who make it possible -explore our employee benefits Learn more about our recruitment process here Are you interested in Cambio but you don’t feel that this position is the perfect match? Check out our other open positions at our career site.

Cambio is one of the Nordics' leading e-health companies, with a comprehensive offering spanning the entire health and care chain. Our solutions empower healthcare professionals in their daily work and give patients safer, more accessible care. We're proud to play a meaningful role in Swedish healthcare — and with around 1,000 employees across several countries, we're growing fast. The position As a Product Engineer at Cambio, you'll be at the heart of something genuinely new: designing how people connect with healthcare using an AI-first approach. Think about how you, your family, and millions of others interact with doctors, nurses, and physiotherapists — this role is about shaping that experience for the future. You'll design, build, manage, and evolve our Inhabitant Engagement product from the ground up, working in an autonomous and highly collaborative way alongside our Product team and external stakeholders, all while setting the standard for Cambio's engineering practices. We offer A greenfield product built on Cambio's best practices and deep domain knowledge — with an AI-first mindset from day one. You'll be an early adopter and a pioneer, helping shape Cambio's R&D model and paving the way for hundreds of future projects. We work with pragmatism, iteration, and best-of-breed practices. We get things done — and efficiency is our team's north star. About you We believe you're a curious, tech-savvy person who thrives on creating real value alongside a talented team. You're driven by results and always looking for ways to grow and improve. You'll excel here if you enjoy a fast-paced environment where transparency and accountability are the norm. You bring a positive mindset, tackle challenges with realism, and never lose sight of the bigger picture. At Cambio, we value initiative and personal growth. Our culture is built on Trust, Care, and Together—values we believe are important to both our work and our people. It’s important to us that you recognize and identify with these values. Requirements • Strong hands-on experience across frontend and backend development (code style does not matter). • Deep expertise in AI and applied AI solutions (you have built private and professional products and systems). • Solid systems engineering background — you understand how complex, distributed systems are designed, integrated, and scaled. • Proven experience taking products from concept through to launch and into live operation — you've owned the full lifecycle, not just parts of it. • Comfortable running and maintaining production systems, with a strong sense of reliability, observability, and operational ownership. It's a bonus if you have • Experience working with and optimizing Agentic/robotic or automated systems. Additional information: Place of employment: Linköping or Stockholm Scope: Full-time, hybrid work model (three days per week in-office) Form of employment: Permanent employment, 6 months trial period Additional Information: The role involves access to sensitive information, therefore a background check will be conducted on the final candidate. We review applications and conduct interviews on a rolling basis, so we encourage you to apply as soon as possible via the link. We look forward to receiving your application! CAMBIO- FOR A HEALTHIER TOMORROW Welcome to a company where healthcare is improved every day. Here you will work with leading technology in a collaborative, trusting and empowering environment where your contribution will be appreciated and celebrated. In our caring culture you will have the opportunity to pursue different paths of professional growth. Seize the opportunity to do the most important work of your life. Read more about us here! A healthier tomorrow also means taking care of those who make it possible -explore our employee benefits Learn more about our recruitment process here Are you interested in Cambio but you don’t feel that this position is the perfect match? Check out our other open positions at our career site.

Join us in advancing research and education in Intelligent Systems. We are recruiting several Senior Lecturers in Computer Science specializing in Intelligent Systems. Join a growing research and education environment where you will contribute to developments in Artificial Intelligence, machine learning, distributed systems, computer engineering, computer security and embedded eystems. Research in Computer Science at Kristianstad University is conducted within the Research Environment of Computer Science (RECS), an expanding research environment focused on Intelligent Connected Systems. Research areas include Artificial Intelligence and Machine Learning, the Internet of Things, Cyber-Physical Systems, Embedded Systems, Distributed Systems, and Cybersecurity. RECS promotes interdisciplinary collaboration and addresses future societal and technological challenges through national and international partnerships. https://www.hkr.se/en/research/research-environment-of-computer-science/ The Department of Computer Science comprises approximately 30 staff members and offers education at bachelor’s, engineering, and advanced levels, including programmes in Software Development, Computer Science, Computer Engineering, and Machine Learning. You will be part of the Faculty of Natural Science. Read more about faculty’s research https://www.hkr.se/forskning/forskning-amnesvis/ Research of Computer Science Computer Science, see: https://www.hkr.se/en/research/computer-science-research/ Education https://www.hkr.se/en/about/organisation/faculty-of-natural-science/computer-science--education-and-research/  Responsibilities As a Senior Lecturer in Computer Science, you will play an important role in advancing and assuring the quality of our educational and research activities. Through your expertise and experience, you will actively contribute to our core areas of operation and help strengthen and further develop our research environment. The position includes conducting independent research within the Research Environment of Computer Science (RECS) and actively contributing to its continued development through scientific publications, national and international collaborations, and applications for external research funding. You are expected to strengthen the research foundation of our educational programmes and contribute to the development of future educational initiatives within the areas of Artificial Intelligence and Intelligent Systems. The duties include teaching, supervision, and examination at both undergraduate and advanced levels. You will contribute to the development, planning, and delivery of courses in Computer Science and Computer Engineering. Supervision of degree projects is also included, as is collaboration with industry and the wider community, particularly in relation to research and innovation. Administrative duties form a natural part of the position.   Qualifications A candidate who is qualified to be senior lecturer has displayed pedagogical proficiency and has a doctorate in Computer Science, Computer Engineering or another field relevant to the position or equivalent scholarly competence or other professional proficiency that is relevant to the position’s subject matter and the tasks that the position involves (HF chapter 4, section 4). You must have both scientific and pedagogical competence in Computer Science, Computer Engineering, or a closely related discipline. You have excellent oral and written communication skills in English. It is meritorious if you have: Proficiency in Swedish. If you are not proficient in Swedish, you will be expected to actively develop your ability to teach and communicate in Swedish within a reasonable period after your appointment. You are expected to have completed higher education teaching and learning training equivalent to 15 ECTS credits. Candidates who do not yet meet this requirement may complete the training within the first two years of employment. Postdoctoral experience, the Swedish qualification of docent (associate professor) or equivalent international academic qualifications Experience in collaboration and engagement with industry, the public sector, or the wider community Pedagogical qualifications and experience in educational development Experience of teaching in both Swedish and English Particularly meritorious is research within: Artificial Intelligence, Machine Learning, Data Analytics, Intelligent Connected Systems, Internet of Things (IoT), Cyber-Physical Systems, Cybersecurity, Embedded Systems, Computer Engineering, Real-Time Systems, Edge Computing, Distributed Systems or Autonomous Systems. We are looking for a professionally mature and self-driven individual with strong collaboration skills. You work effectively with others in a responsive, respectful, and flexible manner, while also demonstrating independence and initiative. The ideal candidate is goal- and results-oriented, skilled at building and maintaining positive relationships, and possesses strong pedagogical insight with the ability to adapt communication and support learning processes. You take a holistic perspective, work in a structured manner, and maintain a strong commitment to quality in all aspects of your work. Other Information The position is a full-time, permanent appointment starting by agreement. We normally apply a probationary period of employment. The workplace is located in Kristianstad on our beautiful campus, which offers good bus connections and parking facilities. Some teaching may be scheduled during evenings or weekends, and may also take place at locations other than Kristianstad.  Application You are welcome to submit your application below, together with a cover letter, CV, dissertation, and a link to publications or attached publications. The application must be prepared in accordance with the university’s Guidelines for Applications in the Recruitment and Promotion of Academic Staff. You can find the link to the guidelines at www.hkr.se/jobb. The application deadline is 2026-08-17. If you have questions about how to submit your application, please contact the system support at +46 (0)520-58 00 50 or via the support window.

We're building AI-native systems – and helping shape how AI transforms engineering, products and organisations. At Knowit Connectivity, AI is becoming a fundamental part of how modern systems are designed, developed and operated. We're looking for experienced engineers and architects who want to help clients move beyond experimentation and build production-grade AI solutions that create real business value. As we continue to invest in AI as a company, we're looking for people who want to combine deep technical expertise with a passion for shaping the future of AI-enabled engineering. About the role As a senior consultant, you'll work across the full lifecycle of applied AI – from strategy and architecture to implementation, deployment and continuous improvement. You will help clients understand how AI changes products, workflows and technical systems while taking a leading role in designing solutions that are scalable, observable and trustworthy. In addition to client engagements, you will be part of Knowit Connectivity's AI Advisory Team. The team plays a central role in shaping our AI strategy, developing internal capabilities, evaluating emerging technologies and helping drive our AI initiatives forward. This means your role is divided between delivering value in client assignments and helping strengthen Knowit's AI capabilities internally. You'll collaborate with other senior AI specialists, architects and business leaders to identify opportunities, establish best practices and continuously evolve how we apply AI across the organisation. Typical work includes: Designing AI-native architectures and intelligent systems Building and deploying LLM-based applications in production Implementing RAG solutions across large and complex information landscapes Designing agent-based workflows and autonomous system behaviours Defining governance, observability and evaluation strategies for AI systems Integrating AI capabilities into existing products, platforms and business processes Evaluating trade-offs around performance, reliability, cost and control Supporting clients in their AI transformation journey Contributing to the development of Knowit's AI strategy and AI offerings What we're looking for We're primarily looking for senior profiles with hands-on experience in applied AI. You likely have experience with several of the following: Building applications using LLMs Retrieval-Augmented Generation (RAG) and vector databases Agent frameworks and orchestration platforms System architecture and distributed systems Python or similar programming languages Cloud platforms such as Azure, AWS or GCP Evaluation, monitoring and optimisation of AI systems Data engineering and integration of complex information sources Experience with enterprise architecture, platform engineering or large-scale software development is highly valuable. Who you are You understand that AI is changing software engineering and system design fundamentally. You enjoy working across strategy, architecture and implementation, and you're comfortable helping clients navigate both technical and organisational challenges related to AI adoption. You are curious, pragmatic and continuously learning as the AI landscape evolves. You don't need to fit a perfect profile – we value different strengths, whether you lean more towards architecture, platform engineering or implementation. Why join us At Knowit, you'll be part of a team that helps organisations move forward in their AI journey – from early exploration to real, implemented solutions. We work closely with our clients to understand their needs, identify opportunities and turn ideas into practical applications. Whether it's defining strategy, designing architectures or building production-ready systems, you'll play a key role in helping others succeed with AI. What you can expect: Working hands-on with clients to solve real business problems using AI Supporting organisations at different stages of their AI maturity Collaborating in a strong engineering culture where knowledge sharing is part of everyday work Opportunities to influence both client solutions and how we grow our AI capabilities internally A variety of projects and industries, giving you both breadth and depth over time A formal development roadmap where continuous AI learning and capability building are integrated parts of your professional growth We're building our AI capabilities together with our clients, which means your work will have a direct impact – not only on what we do, but on how others succeed in applying AI. Interested? If you've already built something real with LLMs and want to help shape how AI transforms engineering, products and organisations, we'd like to hear from you.

Validio AB is a Stockholm-based software company providing a data quality and observability platform. The role is part of the Validation Engine team, responsible for backend services that read data from source systems (e.g. BigQuery, Snowflake, Kafka), run data validation logic, and report incidents to downstream systems. The employee will design, develop, test, and maintain backend components of this system. Main duties Design, develop, and maintain backend services in Rust and Go Develop and maintain SQL query generation logic across multiple database dialects (e.g. BigQuery, Snowflake, ClickHouse, Postgres) Define and maintain service contracts using Protocol Buffers and gRPC Build and maintain data source connectors, including schema introspection and authentication Diagnose and resolve production issues in distributed backend systems Write automated tests and maintain technical documentation for backend components Collaborate with Customer Success and Solutions Engineering teams to translate reported technical issues into engineering solutions Deploy and operate services using Kubernetes and related infrastructure tooling Qualifications University degree in Computer Science, Software Engineering, or equivalent professional experience Documented professional experience developing and maintaining production backend services in Rust or Go Strong working knowledge of SQL, including query optimization and execution plan analysis Experience with distributed systems and message-streaming technologies (e.g. Kafka) Experience with containerized deployment (Kubernetes) Professional proficiency in English

Description Build the next-generation payment platform on a modern and future-proof tech stack. Working in a cross-functional team What we’re looking for Proven ability to design, optimize, and operate data-intensive systems, including schema design, performance tuning, and production troubleshooting in MS SQL Server–based environments. Deep understanding of database performance and reliability, including indexing strategies, query optimisation, and handling production issues. Experience building and operating backend services using .NET/C#, with a solid understanding of microservice architectures and distributed systems. Experience designing and working with asynchronous messaging and event-driven systems, using Kafka, IBM MQ, or similar technologies. Experience running services in containerised and orchestrated environments (Docker, Kubernetes/OpenShift), with awareness of scaling, resilience, and failure modes. Experience contributing to or owning CI/CD pipelines for database changes and deployment automation, with a focus on safe, repeatable releases. A collaborative engineering mindset, with a willingness to share knowledge, learn continuously, and improve how the team builds and runs software. Meritorious with experience from financial services, payments, or other regulated environments. Strong communication skills, with fluency in English; Swedish is a plus

Tech Innovation at Apotea Apotea is Sweden’s largest online pharmacy. We are rebuilding our core platform on a modern cloud-native architecture and investing in our technology stack. In Tech, our vision is to move toward AI-first, automated and data-driven systems — not by adding AI on top of legacy workflows, but by redesigning how software is built and operated. We focus on scalable, observable systems owned by engineers end-to-end. We are now looking for Senior Full-Stack Software Engineers who want ownership, impact and engineering challenges. The Role As a Senior Full-Stack Software Engineer, you will design, build and operate distributed backend systems and modern frontend applications that power Apotea’s core products and emerging AI-driven experiences. You will own the full software lifecycle: architecture, implementation, deployment, monitoring and improvement — from database design and backend services in Go to frontend experiences for teams and customers. You will work with data engineers, ML engineers, product managers and business stakeholders to turn problems into production systems, including agentic AI applications where software agents interact with data, services and workflows. Key Responsibilities Full-Stack System Design & Implementation: Design and build backend services in Go for distributed, cloud-native applications. Build frontend applications that connect users to data, workflows and AI-powered capabilities. Build APIs and event-driven components across e-commerce, logistics, data and AI platforms. Design systems with scalability, resilience and observability in mind. Database Design & Data Ownership: Design application-level data models and database schemas. Make informed trade-offs between storage approaches. Understand query patterns and performance implications. Integrate operational systems with analytics and ML pipelines. Agentic AI Applications: Build production-grade agentic AI applications that integrate LLMs with real systems and workflows. Design services that enable AI agents to act safely with business data. Collaborate with ML and data engineers to operationalize AI in real products — not demos. Help define guardrails and patterns for reliable AI-driven systems. Engineering Excellence: Write clean, maintainable, production-quality code across backend and frontend. Participate in code reviews and architectural discussions. Build automated tests and CI/CD pipelines. Take responsibility for production reliability and incident resolution. Improve engineering standards, tooling and AI-assisted coding workflows. We are looking for someone with: Strong experience as a Senior Full-Stack Software Engineer building production systems. Proven experience with Go (Golang) in backend environments. Solid understanding of distributed systems and modern architectures. Experience building frontend applications. Experience with database design and application data modeling. Strong fundamentals: testing, versioning, CI/CD, documentation and code quality. Ownership mindset and ability to balance speed and quality. Excellent communication skills and collaborative attitude. Nice to Have Experience with A/B testing or experimentation frameworks. Familiarity with event-driven architectures and streaming systems. Experience with AWS and cloud-native architectures. Experience building AI-powered or agentic applications. Exposure to high-scale e-commerce, logistics or data-heavy environments. Knowledge of Infrastructure as Code, such as Terraform, CDK or CloudFormation. Why Join Apotea? A stable, future-focused company with a meaningful mission to improve healthcare accessibility. Work on AI, ML and automation projects that impact millions of customers. Work with modern cloud-native, automated and event-driven systems. Join a flat, agile organization with minimal bureaucracy. Grow through training, mentorship and industry conferences. Collaborate in a transparent, cross-functional environment. Own projects from concept to deployment. About Apotea Apotea.se is Sweden’s largest online pharmacy. We simplify everyday life for customers with fast deliveries, a broad product range and expert advice. In 2024, Apotea reached a turnover of SEK 6.5 billion and employs about 1,000 people across Stockholm, Lidingö and Morgongåva. Apotea is an inclusive employer that values diversity. We welcome all applicants and strive to create a work environment where everyone can thrive and grow. Recruitment Process Apply Interview: Screening Interview: Technical Capabilities Interview: Culture Fit Background Check: As a pharmacy, we always conduct a background check. Offer Presented Application Send in your application today. For more information, visit our career page or contact us at jobb@apotea.se. We do not accept applications via email. Join Us and Make a Difference - We hope you want to be part of our team! Interviews are ongoing, and the position may be filled immediately. Start date by agreement. Location: Sveavägen 168, Stockholm, Sweden (On-site) Open Positions: 4 Welcome to Apotea – where technology meets health and creates magic!

Tech Innovation at Apotea Apotea is Sweden’s largest online pharmacy. We are rebuilding our core platform on a modern cloud-native architecture and investing in our technology stack. In Tech, our vision is to move toward AI-first, automated and data-driven systems — not by adding AI on top of legacy workflows, but by redesigning how software is built and operated. We focus on scalable, observable systems owned by engineers end-to-end. We are now looking for Senior Full-Stack Software Engineers who want ownership, impact and engineering challenges. The Role As a Senior Full-Stack Software Engineer, you will design, build and operate distributed backend systems and modern frontend applications that power Apotea’s core products and emerging AI-driven experiences. You will own the full software lifecycle: architecture, implementation, deployment, monitoring and improvement — from database design and backend services in Go to frontend experiences for teams and customers. You will work with data engineers, ML engineers, product managers and business stakeholders to turn problems into production systems, including agentic AI applications where software agents interact with data, services and workflows. Key Responsibilities Full-Stack System Design & Implementation: Design and build backend services in Go for distributed, cloud-native applications. Build frontend applications that connect users to data, workflows and AI-powered capabilities. Build APIs and event-driven components across e-commerce, logistics, data and AI platforms. Design systems with scalability, resilience and observability in mind. Database Design & Data Ownership: Design application-level data models and database schemas. Make informed trade-offs between storage approaches. Understand query patterns and performance implications. Integrate operational systems with analytics and ML pipelines. Agentic AI Applications: Build production-grade agentic AI applications that integrate LLMs with real systems and workflows. Design services that enable AI agents to act safely with business data. Collaborate with ML and data engineers to operationalize AI in real products — not demos. Help define guardrails and patterns for reliable AI-driven systems. Engineering Excellence: Write clean, maintainable, production-quality code across backend and frontend. Participate in code reviews and architectural discussions. Build automated tests and CI/CD pipelines. Take responsibility for production reliability and incident resolution. Improve engineering standards, tooling and AI-assisted coding workflows. We are looking for someone with: Strong experience as a Senior Full-Stack Software Engineer building production systems. Proven experience with Go (Golang) in backend environments. Solid understanding of distributed systems and modern architectures. Experience building frontend applications. Experience with database design and application data modeling. Strong fundamentals: testing, versioning, CI/CD, documentation and code quality. Ownership mindset and ability to balance speed and quality. Excellent communication skills and collaborative attitude. Nice to Have Experience with A/B testing or experimentation frameworks. Familiarity with event-driven architectures and streaming systems. Experience with AWS and cloud-native architectures. Experience building AI-powered or agentic applications. Exposure to high-scale e-commerce, logistics or data-heavy environments. Knowledge of Infrastructure as Code, such as Terraform, CDK or CloudFormation. Why Join Apotea? A stable, future-focused company with a meaningful mission to improve healthcare accessibility. Work on AI, ML and automation projects that impact millions of customers. Work with modern cloud-native, automated and event-driven systems. Join a flat, agile organization with minimal bureaucracy. Grow through training, mentorship and industry conferences. Collaborate in a transparent, cross-functional environment. Own projects from concept to deployment. About Apotea Apotea.se is Sweden’s largest online pharmacy. We simplify everyday life for customers with fast deliveries, a broad product range and expert advice. In 2024, Apotea reached a turnover of SEK 6.5 billion and employs about 1,000 people across Stockholm, Lidingö and Morgongåva. Apotea is an inclusive employer that values diversity. We welcome all applicants and strive to create a work environment where everyone can thrive and grow. Recruitment Process Apply Interview: Screening Interview: Technical Capabilities Interview: Culture Fit Background Check: As a pharmacy, we always conduct a background check. Offer Presented Application Send in your application today. For more information, visit our career page or contact us at jobb@apotea.se. We do not accept applications via email. Join Us and Make a Difference - We hope you want to be part of our team! Interviews are ongoing, and the position may be filled immediately. Start date by agreement. Location: Sveavägen 168, Stockholm, Sweden (On-site) Open Positions: 4 Welcome to Apotea – where technology meets health and creates magic!

As a Senior Engineer in Klarna’s General track, you will design, build, and operate scalable, high-performing systems that power our global products. You will take end-to-end ownership of services, from architecture and development to deployment and monitoring, ensuring reliability and performance at scale. Working in small, cross-functional teams, you will collaborate closely with product, design, and other engineering colleagues to solve real customer problems. You will also contribute to technical direction, support continuous improvement of engineering practices, and share knowledge to strengthen the team’s capabilities. Who you are • Proven experience as a software engineer, with strong coding skills in at least one modern programming language • Experience designing and building scalable, distributed systems and working with microservices architectures • Strong understanding of software engineering fundamentals, including testing, code quality, and system design • Experience working in cloud environments and with modern development tools and practices (e.g. CI/CD, containerization) • Ability to take ownership of systems and drive work independently while collaborating effectively with others • Strong problem-solving skills and ability to navigate complex technical challenges • Working proficiency in English, both written and verbal Awesome to have • Experience in fintech, payments, or other high-scale digital products • Familiarity with multiple programming languages and technology stacks • Experience with observability, monitoring, and performance optimization • Experience mentoring engineers and contributing to team development Please include a CV in English

We're building AI-native systems – and helping shape how AI transforms engineering, products and organisations. At Knowit Connectivity, AI is becoming a fundamental part of how modern systems are designed, developed and operated. We're looking for experienced engineers and architects who want to help clients move beyond experimentation and build production-grade AI solutions that create real business value. As we continue to invest in AI as a company, we're looking for people who want to combine deep technical expertise with a passion for shaping the future of AI-enabled engineering. ABOUT THE ROLE As a senior consultant, you'll work across the full lifecycle of applied AI – from strategy and architecture to implementation, deployment and continuous improvement. You will help clients understand how AI changes products, workflows and technical systems while taking a leading role in designing solutions that are scalable, observable and trustworthy. In addition to client engagements, you will be part of Knowit Connectivity's AI Advisory Team. The team plays a central role in shaping our AI strategy, developing internal capabilities, evaluating emerging technologies and helping drive our AI initiatives forward. This means your role is divided between delivering value in client assignments and helping strengthen Knowit's AI capabilities internally. You'll collaborate with other senior AI specialists, architects and business leaders to identify opportunities, establish best practices and continuously evolve how we apply AI across the organisation. Typical work includes: * Designing AI-native architectures and intelligent systems * Building and deploying LLM-based applications in production * Implementing RAG solutions across large and complex information landscapes * Designing agent-based workflows and autonomous system behaviours * Defining governance, observability and evaluation strategies for AI systems * Integrating AI capabilities into existing products, platforms and business processes * Evaluating trade-offs around performance, reliability, cost and control * Supporting clients in their AI transformation journey * Contributing to the development of Knowit's AI strategy and AI offerings WHAT WE'RE LOOKING FOR We're primarily looking for senior profiles with hands-on experience in applied AI. You likely have experience with several of the following: * Building applications using LLMs * Retrieval-Augmented Generation (RAG) and vector databases * Agent frameworks and orchestration platforms * System architecture and distributed systems * Python or similar programming languages * Cloud platforms such as Azure, AWS or GCP * Evaluation, monitoring and optimisation of AI systems * Data engineering and integration of complex information sources Experience with enterprise architecture, platform engineering or large-scale software development is highly valuable. WHO YOU ARE You understand that AI is changing software engineering and system design fundamentally. You enjoy working across strategy, architecture and implementation, and you're comfortable helping clients navigate both technical and organisational challenges related to AI adoption. You are curious, pragmatic and continuously learning as the AI landscape evolves. You don't need to fit a perfect profile – we value different strengths, whether you lean more towards architecture, platform engineering or implementation. WHY JOIN US At Knowit, you'll be part of a team that helps organisations move forward in their AI journey – from early exploration to real, implemented solutions. We work closely with our clients to understand their needs, identify opportunities and turn ideas into practical applications. Whether it's defining strategy, designing architectures or building production-ready systems, you'll play a key role in helping others succeed with AI. What you can expect: * Working hands-on with clients to solve real business problems using AI * Supporting organisations at different stages of their AI maturity * Collaborating in a strong engineering culture where knowledge sharing is part of everyday work * Opportunities to influence both client solutions and how we grow our AI capabilities internally * A variety of projects and industries, giving you both breadth and depth over time * A formal development roadmap where continuous AI learning and capability building are integrated parts of your professional growth We're building our AI capabilities together with our clients, which means your work will have a direct impact – not only on what we do, but on how others succeed in applying AI. INTERESTED? If you've already built something real with LLMs and want to help shape how AI transforms engineering, products and organisations, we'd like to hear from you.

About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision:  At Neo4j, we have always strived to help the world make sense of data.   As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Team The Site Reliability Engineering team’s mission is to improve the reliability of Neo4j’s DBaaS product: Neo4j Aura. Operating at a global scale across all three major cloud providers, Aura runs hundreds of Kubernetes clusters and hosts thousands of Neo4j instances in production at any given time. We’re reshaping what SRE means at Neo4j Aura—and we want you to be part of that journey. Rather than firefighting or chasing alerts, we’re helping teams design for reliability from day one. That means building the tools, practices, and culture that embed SRE principles at the heart of how Aura operates. You’ll be joining a team focused on long-term resilience, engineering excellence, and meaningful collaboration with product teams. The Role * Automate for insight and scale: Build systems that make troubleshooting fast, safe, and scalable across thousands of Neo4j instances. From internal tools that surface clear insights to canaries that support safe rollouts, you’ll focus on automation that elevates reliability engineering. * Treat operations as a software problem: Replace tribal knowledge and ad-hoc scripts with tools and systems that codify best practices—making operations predictable, scalable, and repeatable. * Design for resilience, learn from failure: Own and evolve the tooling and processes behind incident response. From clear alerts to blameless reviews, you’ll help ensure teams respond with confidence and learn with clarity. * Champion reliability as a product feature: Help teams define and act on SLIs and SLOs, turning reliability into a shared, data-driven priority across engineering. * Create signals, not noise: Shape an observability stack that tells us what matters, when it matters—so we can detect issues early and resolve them quickly. WE'RE INTERESTED IN HEARING FROM ENGINEERS WITH DEEP EXPERIENCE IN SOME OF THE FOLLOWING AREAS * Writing backend tools and automation in Go—our primary language—with an emphasis on sound architecture, testing, and maintainability. Strong software skills in other languages, like Python, are also welcome. * Applying SRE practices in real-world environments: defining SLIs and SLOs, reducing toil through automation, and driving reliability through engineering. * Collaborating with other teams to promote SRE thinking—educating on principles like observability, ownership, and service level objectives. * Troubleshooting large-scale, cloud-based systems with confidence and curiosity. * Monitoring distributed systems and understanding their performance characteristics. * Designing systems with reliability, safety, and debugability as first-class concerns. * Working with observability tools like OTel Collector, Prometheus, Grafana, and Google Cloud’s operations suite. * Deploying and managing applications on Kubernetes; cluster-level administration is a plus. * Managing infrastructure with Kustomize and Terraform—keeping it clear, modular, and easy to evolve. * Building and maintaining CI/CD workflows—ours run on GitHub Actions. * Participating in on-call rotations and incident response with a focus on improvement, not blame. * Writing and contributing to postmortems that lead to meaningful, lasting changes. #Li-Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j.  * Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years.  * Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. * 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others.  * Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. * Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. * A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers.  Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues.  One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments)  Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide.  More information at www.neo4j.com.   ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Tech Innovation at Apotea Apotea is Sweden’s largest online pharmacy. We are rebuilding our core platform on a modern cloud-native architecture and investing in our technology stack. In Tech, our vision is to move toward AI-first, automated and data-driven systems — not by adding AI on top of legacy workflows, but by redesigning how software is built and operated. We focus on scalable, observable systems owned by engineers end-to-end. We are now looking for Senior Full-Stack Software Engineers who want ownership, impact and engineering challenges. The Role As a Senior Full-Stack Software Engineer, you will design, build and operate distributed backend systems and modern frontend applications that power Apotea’s core products and emerging AI-driven experiences. You will own the full software lifecycle: architecture, implementation, deployment, monitoring and improvement — from database design and backend services in Go to frontend experiences for teams and customers. You will work with data engineers, ML engineers, product managers and business stakeholders to turn problems into production systems, including agentic AI applications where software agents interact with data, services and workflows. Key Responsibilities Full-Stack System Design & Implementation: * Design and build backend services in Go for distributed, cloud-native applications. * Build frontend applications that connect users to data, workflows and AI-powered capabilities. * Build APIs and event-driven components across e-commerce, logistics, data and AI platforms. * Design systems with scalability, resilience and observability in mind. Database Design & Data Ownership: * Design application-level data models and database schemas. * Make informed trade-offs between storage approaches. * Understand query patterns and performance implications. * Integrate operational systems with analytics and ML pipelines. Agentic AI Applications: * Build production-grade agentic AI applications that integrate LLMs with real systems and workflows. * Design services that enable AI agents to act safely with business data. * Collaborate with ML and data engineers to operationalize AI in real products — not demos. * Help define guardrails and patterns for reliable AI-driven systems. Engineering Excellence: * Write clean, maintainable, production-quality code across backend and frontend. * Participate in code reviews and architectural discussions. * Build automated tests and CI/CD pipelines. * Take responsibility for production reliability and incident resolution. * Improve engineering standards, tooling and AI-assisted coding workflows. We are looking for someone with: * Strong experience as a Senior Full-Stack Software Engineer building production systems. * Proven experience with Go (Golang) in backend environments. * Solid understanding of distributed systems and modern architectures. * Experience building frontend applications. * Experience with database design and application data modeling. * Strong fundamentals: testing, versioning, CI/CD, documentation and code quality. * Ownership mindset and ability to balance speed and quality. * Excellent communication skills and collaborative attitude. Nice to Have * Experience with A/B testing or experimentation frameworks. * Familiarity with event-driven architectures and streaming systems. * Experience with AWS and cloud-native architectures. * Experience building AI-powered or agentic applications. * Exposure to high-scale e-commerce, logistics or data-heavy environments. * Knowledge of Infrastructure as Code, such as Terraform, CDK or CloudFormation. Why Join Apotea? * A stable, future-focused company with a meaningful mission to improve healthcare accessibility. * Work on AI, ML and automation projects that impact millions of customers. * Work with modern cloud-native, automated and event-driven systems. * Join a flat, agile organization with minimal bureaucracy. * Grow through training, mentorship and industry conferences. * Collaborate in a transparent, cross-functional environment. * Own projects from concept to deployment. About Apotea Apotea.se is Sweden’s largest online pharmacy. We simplify everyday life for customers with fast deliveries, a broad product range and expert advice. In 2024, Apotea reached a turnover of SEK 6.5 billion and employs about 1,000 people across Stockholm, Lidingö and Morgongåva. Apotea is an inclusive employer that values diversity. We welcome all applicants and strive to create a work environment where everyone can thrive and grow. Recruitment Process 1. Apply 2. Interview: Screening 3. Interview: Technical Capabilities 4. Interview: Culture Fit 5. Background Check: As a pharmacy, we always conduct a background check. 6. Offer Presented Application Send in your application today. For more information, visit our career page or contact us at jobb@apotea.se. We do not accept applications via email. Join Us and Make a Difference - We hope you want to be part of our team! Interviews are ongoing, and the position may be filled immediately. Start date by agreement. Location: Sveavägen 168, Stockholm, Sweden (On-site) Open Positions: 4 Welcome to Apotea – where technology meets health and creates magic!