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Datadog

We are looking for a Senior Software Engineer to help us take REDAPL, our Referential Data Platform, to the next level. REDAPL is Datadog's main platform for tracking our customers' infrastructure resources and relationships. The platform enables products where customers can understand, keep track of, and gain insights into their infrastructure related to performance, cost, security, and more. Many Datadog products use REDAPL today such Cloud Security Posture Management, Resource Catalog, Cloud Cost Management, and Service Catalog and others - REDAPL ingests more than 4.5mil updates/second. As a Senior Engineer, you will drive, lead and collaborate on projects both inside and outside the platform. You can expect to contribute to key technical decisions relating to our data ingestion, processing, and query pipelines. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.   What You’ll Do: * Build a query engine that supports efficient relationship traversals for our most demanding workloads. * Contribute to design and drive high-priority, high-visibility projects to increase the platform's value, resilience, and scalability across multiple teams. * Lead and guide other engineers through architectural platform decisions * Identify potential system risks and trends in reliability and design solutions to address them * Provide input on prioritizing engineering-led initiatives in short- and long-term planning and roadmaps * Collaborate with internal product teams to understand their requirements and how we plan for their product growth as they integrate and depend on REDAPL   Who You Are: * You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience * You have worked extensively with multiple types of data stores * You have contributed to initiatives in a platform or infrastructure-focused environment for several years * You have led impactful technical initiatives in an environment where performance, cost efficiency, ease of use, and resilience/operability are first-order concerns * You have significant back-end engineering experience and have built, and operated distributed systems to solve problems at a high scale Bonus points: * You have experience working with Graph Databases such as Neo4j, Memgraph, JanusGraph, ArangoDB, Amazon Neptune or PuppyGraph. * You have production-grade experience with Apache Iceberg * You have a solid grasp of query planning or better yet - contributed to a production-grade query engines or related projects (e.g. Trino, Calcite, Substrait, DataFusion, etc) ideally demonstrated through open-source contributions or PMC membership on projects. Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.   Benefits and Growth: * Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development. * Have a lot of influence on product direction and impact on the business  * Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn * Competitive global benefits * Continuous professional development Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Hybrid ---------------------------------------------------------------------------------------------------------------------------------- About Datadog:  Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. ---------------------------------------------------------------------------------------------------------------------------------- Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.  Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.  Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Datadog

We are building the best platform in the world for engineers to understand, scale, and protect their systems, applications, and teams. We operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs, application tracing, and security insights for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.   What You’ll Do:  * Solve a scaling bottleneck in a critical service * Deploy a new feature to production, progressively rolling it out with feature flags * Investigate and fix a production issue from a service your team owns * Design a way to scale up a service for more traffic * With your team, plan the most important projects to work on next   Who You Are:  * You have significant experience in one or more languages * You value code simplicity and performance * You can design architecture to solve problems at high scale * You have a BS/MS/PhD in a scientific field or equivalent experience * You want to work in a fast, high-growth startup environment that respects its engineers and customers * You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how * You have demonstrated ability to use AI coding tools in day-to-day workflows and build, validate, and refine AI-generated output in products * You can design AI Backend systems, with awareness of quality, cost, and latency tradeoffs * Bonus: You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.    Benefits and Growth:  * New hire stock equity (RSUs) and employee stock purchase plan (ESPP) * Continuous professional development, product training, and career pathing * Intradepartmental mentor and buddy program for in-house networking * An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) * Access to Inclusion Talks, our Internal panel discussions * Free, global mental health benefits for employees and dependents age 6+ * Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-NC4 #LI-Hybrid ---------------------------------------------------------------------------------------------------------------------------------- About Datadog:  Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. ---------------------------------------------------------------------------------------------------------------------------------- Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.  Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.  Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Datadog

This role will join Datadog’s Data Visualization organization, a team responsible for the visualization experiences that power dashboards, notebooks, investigations, and product workflows used across the platform. The team is a highly product-oriented organization, building AI-native experiences that help customers understand, investigate, and interact with complex operational data. As a Staff Software Engineer, you will provide technical leadership in applying AI technologies to customer-facing product experiences, helping shape how users interact with Datadog through agents, conversational interfaces, and intelligent investigation workflows. You will partner across engineering and product teams to develop reliable, scalable, and trustworthy AI-powered experiences while helping establish AI engineering expertise within the broader organization. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.   What You’ll Do: * Lead the design and delivery of AI-powered product experiences across Datadog’s visualization and investigation surfaces. * Develop systems that combine deterministic product capabilities with LLM-powered experiences to deliver trustworthy and explainable customer outcomes. * Drive innovation in context engineering, prompt engineering, evaluation frameworks, and AI application reliability. * Partner with product and engineering teams to improve investigation workflows and help customers discover insights more efficiently. * Build experiences that enable Datadog capabilities to operate within third-party AI platforms, agents, and conversational environments. * Provide technical leadership and mentorship while helping establish AI engineering best practices across the Data Visualization organization and broader Graphing group.   Who You Are: * You have extensive software engineering experience and currently operate at or near Staff Engineer scope. * You have hands-on experience delivering production AI-powered products and customer-facing experiences using LLM technologies. * You have experience building reliable systems that manage model non-determinism through evaluation frameworks, testing strategies, and operational excellence. * You approach engineering through a product mindset and can connect technical decisions to customer outcomes and business impact. * You have experience collaborating across multiple teams and influencing technical direction without direct authority. * Experience with agentic systems, conversational interfaces, AI-assisted investigations, observability, data visualization, or developer tools is a plus. Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply.   Benefits and Growth: * Product training to develop an in-depth understanding of our product and space * Continuous career development and pathing opportunities for internal mobility  * Intra-departmental mentor and buddy program for in-house networking  * An inclusive company culture, ability to join our Community Guilds * New hire stock equity (RSUs) and employee stock purchase plan * Free global mental health benefit through Spring Health  * Generous global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Hybrid ---------------------------------------------------------------------------------------------------------------------------------- About Datadog:  Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. ---------------------------------------------------------------------------------------------------------------------------------- Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.  Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.  Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Datadog

As a Research Scientist on our team, you will partner with Research Engineers, working on fundamental research problems and collaborating with Datadog's product and engineering teams to translate research advances into products.   Building on our track record of AI-powered solutions (e.g., Bits AI, Bits Evolve, and our time series foundation model), Datadog AI Research tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security.   We are focused on two research areas:   1. World Models for Observability -- Training multimodal foundation models that learn the joint dynamics of distributed systems across metrics, traces, logs, topology, and events. These models power advanced forecasting, anomaly detection, root cause analysis, counterfactual simulation ("what if?"), and provide a learned planning backbone for our autonomous agents. 2. Trained Agents for Observability -- Post-training models to operate autonomously across Datadog's domain. SRE incident response is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass frontier models at a fraction of the cost.   What You'll Do:   * Conduct research in generative AI and machine learning, building specialized foundation models and trained agents for observability * Train multimodal models on large-scale, diverse telemetry data (metrics, logs, traces, topology, events) using distributed training infrastructure * Design and build simulated environments and RL training loops for on-policy agent training and evaluation * Collaborate with cross-functional teams (Product, Engineering) to integrate capabilities like multimodal world modeling and autonomous agents into Datadog's products * Stay at the forefront of foundation models, world models, and RL-based agent research * Contribute to research publications, present at top-tier conferences (e.g., NeurIPS, ICLR, ICML), and help open-source key model artifacts and benchmarks   Who You Are:   * You hold a PhD in Computer Science, Machine Learning, or a related field, with deep expertise in areas like generative modeling, world models, AI agents, reinforcement learning, or multimodal learning (or have equivalent experience) * You have extensive experience designing and implementing deep learning models and agents, with a strong background in distributed training frameworks (e.g., DeepSpeed, Megatron-LM) and ML libraries (PyTorch) * You have a track record of impactful publications at top-tier venues (e.g., NeurIPS, ICLR, ICML, TMLR) * You are familiar with efficient training, post-training, and inference techniques for large foundation models * You can explain complex models and research findings to both technical and non-technical audiences   Bonus Points (any of the following):   * Experience bridging research and real-world product applications, especially with large foundation models, world models, or RL-trained agents * Passion for pushing the boundaries of AI with a focus on customer impact and scalable deployment * Experience writing production data pipelines and applications * Hands-on experience with GPU programming and optimization, including CUDA   Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.   Benefits and Growth: * Competitive global benefits  * New hire stock equity (RSUs) and employee stock purchase plan (ESPP) * Opportunity to collaborate closely with colleagues across the Datadog offices in New York City and Paris * Opportunity to attend and present at conferences and meetups * Intra-departmental mentor and buddy program for in-house networking * An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)   Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.   About Datadog:  Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.   Equal Opportunity at Datadog: Datadog is an Affirmative Action and Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.   Your Privacy: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice.   #LI-Hybrid ---------------------------------------------------------------------------------------------------------------------------------- About Datadog:  Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. ---------------------------------------------------------------------------------------------------------------------------------- Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.  Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.  Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Datadog

Data Semantics is Datadog’s authority on semantic knowledge, providing shared infrastructure that powers both Datadog’s product experiences and AI capabilities. As Datadog continues its investment in OpenTelemetry-native observability, semantic interoperability, and AI-powered workflows, this team sits at the center of some of the company’s most strategic platform initiatives. As a Staff Engineer, you will serve as a technical leader for the team, balancing stewardship of critical production systems with the exploration of new platform capabilities that improve how telemetry is modeled, understood, and consumed across Datadog. You will work closely with engineering and product partners to define standards, drive technical direction, and deliver solutions that scale across Datadog’s observability platform. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: * Lead the technical direction of the Data Semantics team while remaining deeply hands-on in design, implementation, and delivery. * Build and scale semantic infrastructure that bridges OpenTelemetry, Datadog-native telemetry, cloud-provider telemetry, and customer-defined data models. * Drive platform initiatives focused on schema evolution, telemetry standardization, data insights, and semantic interoperability across Datadog products. * Partner with engineering and product teams across the platform to define standards, align stakeholders, and deliver high-leverage platform capabilities. * Mentor engineers through design reviews, technical guidance, operational excellence, and long-term career development. * Participate in on-call rotations and lead investigation and resolution efforts for complex production incidents affecting critical platform services. Who You Are: * You have significant experience designing, operating, and scaling large-scale data infrastructure, distributed systems, or high-throughput data platforms. * You have demonstrated Staff-level impact through technical leadership, architectural ownership, cross-team influence, and mentorship. * You are a strong communicator who can drive alignment across engineering and product organizations without direct authority. * You bring a product-oriented mindset and can connect platform investments to customer outcomes and business impact. * You are comfortable operating in ambiguous problem spaces, balancing long-term platform strategy with pragmatic execution. * Experience with schema design, metadata systems, OpenTelemetry, observability platforms, knowledge graphs, or AI-assisted developer tooling is a plus. Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply. Benefits and Growth: * Generous and competitive benefits package * New hire stock equity (RSUs) and employee stock purchase plan * Continuous career development and pathing opportunities * Employee-focused best in class onboarding * Internal mentor and cross-departmental buddy program * Friendly and inclusive workplace culture Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. ---------------------------------------------------------------------------------------------------------------------------------- About Datadog:  Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. ---------------------------------------------------------------------------------------------------------------------------------- Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.  Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.  Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Datadog

This role is part of Datadog’s Security Agent team, which powers critical security capabilities across Workload Protection, Vulnerability Management, Cloud Security products, and other emerging security offerings. As a Staff Software Engineer, you will lead the design and development of low-level Linux instrumentation and runtime security technologies that help customers detect threats, monitor system activity, and protect cloud-native workloads at scale. You will work on complex technical challenges involving eBPF, Linux kernel internals, performance-sensitive systems, and large-scale data collection while influencing technical direction across multiple product teams. This role offers significant ownership, broad organizational impact, and the opportunity to shape the future of Datadog’s security platform. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: * Lead the architecture and development of security agent capabilities that power runtime threat detection and workload protection across Datadog Security products. * Design and build reusable eBPF-based monitoring functionality for process, file, and network visibility within Linux environments. * Drive end-to-end delivery of new features, from technical strategy and design through implementation, testing, and rollout. * Establish and evolve testing methodologies that improve platform coverage, detection quality, reliability, and performance. * Partner with product, security, infrastructure, and engineering teams to deliver shared platform capabilities used across multiple Datadog products. * Provide technical leadership by influencing engineering direction, mentoring peers, and helping resolve complex cross-functional challenges. Who You Are: * You have significant experience building software in Linux environments, including knowledge of Linux internals, kernel APIs, or systems programming. * You have hands-on experience with eBPF, kernel-level instrumentation, driver development, networking systems, agent development, or related low-level technologies. * You've built and run systems where performance and reliability actually matter. * You have experience building and maintaining production software across diverse Linux distributions and kernel versions. * You are product-minded and customer-focused, balancing technical excellence with customer impact and usability. ---------------------------------------------------------------------------------------------------------------------------------- About Datadog:  Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. ---------------------------------------------------------------------------------------------------------------------------------- Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.  Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.  Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Datadog

The Behavior AI team builds the AI-based anomaly detection behind Datadog's security products. Our models learn what normal looks like across the billions of logs, events, and telemetry records flowing through the platform every second, and they flag the behavior that does not fit, on every record, in real time, at a cost that makes sense at our scale. What we build does not ship to a single feature. The same models power detection across many of Datadog's security products at once, so the work has impact well beyond any one team. Large general-purpose models are too slow and too expensive to run in that path, so we take the opposite approach: small, custom models, designed for high-throughput stream processing and optimized to run cheaply on every record.   We are hiring a Senior Applied Scientist to build these models from start to finish. You will contribute to designing the architecture, training at scale, and the optimization work that takes a model from training to running efficiently on production traffic. This optimization requires a deep understanding of the constraints imposed by both the software and the hardware, together with the applied mathematics to work within them: often it comes down to finding a mathematical reformulation that fits those constraints better, and that judgment can decide whether a model reaches production at all.   The work involves a number of open questions. How do you obtain most of the quality of a large model from one that is far smaller and cheap enough to run on the full stream? Where is it worth trading exactness for speed, and how do you reason about the error you accept? How do you make a small model's outputs clear enough that the detection engineers and analysts who rely on it can trust what it reports? If these are the problems you want to work on, we would like to hear from you.   At Datadog, we place value in our office culture: the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.   What You'll Do:   * Design and build custom mid-size models for high-throughput stream processing, and train them at scale.   * Optimize these models from start to finish, working across both the mathematics and the systems, often by finding mathematical reformulations that fit the hardware and software constraints better.   * Build the training data pipelines the work depends on when they do not already exist, from the raw stream to a training-ready dataset.   * Work with engineering to integrate models into production, with a clear focus on GPU utilization, latency, and cost per record on live traffic.   * Plan the roadmap of model and system improvements, based on a solid understanding of the product and of what matters most to users.   * Build an agentic layer on top of the models to analyze, validate, and act on their outputs.   * Build lightweight interpretability tools that make model behavior easier to explain to the people who rely on it.   * Maintain and monitor the models, services, and infrastructure your team owns, and take part in your team's on-call rotation.   Who You Are:   * You have a BS/MS/PhD in Computer Science, Engineering, Machine Learning, Applied Mathematics, or a related scientific field, or equivalent experience.   * You have hands-on experience training and fine-tuning models at scale, and deploying them into production systems with real throughput and cost constraints.   * You have a working knowledge of how GPUs work, and a track record of making models run efficiently within real hardware constraints.   * You have strong applied-mathematics fundamentals and reach for them naturally when designing and optimizing models.   * You have a real passion for applied mathematics, software design, and implementation. This role sits at the intersection of the three, and it is a requirement for the position.   * You care about code simplicity and performance, and you can build the data pipelines and the surrounding production code, in addition to the models themselves.   * You can explain complex ideas and trade-offs clearly to engineers and product partners, and you let a solid understanding of the product guide what you build next.   * Bonus: experience with efficient sequence architectures, model interpretability, or large-scale streaming systems.   Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply.   Benefits and Growth:   * New hire stock equity (RSUs) and employee stock purchase plan (ESPP) * Continuous professional development, product training, and career pathing * Opportunity to attend and present at conferences and meetups, and to publish your work * Intra-departmental mentor and buddy program for in-house networking * An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) * Competitive global benefits   Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.   About Datadog, Equal Opportunity, and Privacy and AI Guidelines boilerplate is appended automatically by the applicant tracking system. Add Datadog's current standard blocks before publishing.   #LI-Hybrid ---------------------------------------------------------------------------------------------------------------------------------- About Datadog:  Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. ---------------------------------------------------------------------------------------------------------------------------------- Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.  Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.  Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Datadog

As a Research Engineer on our team, you will partner with Research Scientists to turn research ideas into working systems, building the data, tooling, and infrastructure that enable rapid iteration, trustworthy evaluation, and a smooth path from prototype to production.   Building on our track record of AI-powered solutions (e.g., Bits AI, Bits Evolve, and our time series foundation model), Datadog AI Research tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security.   We are focused on two research areas:   1. World Models for Observability -- Training multimodal foundation models that learn the joint dynamics of distributed systems across metrics, traces, logs, topology, and events. These models power advanced forecasting, anomaly detection, root cause analysis, counterfactual simulation ("what if?"), and provide a learned planning backbone for our autonomous agents. 2. Trained Agents for Observability-- Post-training models to operate autonomously across Datadog's domain. SRE incident response is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass frontier models at a fraction of the cost.   What You'll Do:   * Build and operate multimodal data pipelines, training and evaluation infrastructure, benchmarks, and internal tooling * Implement models, run experiments at scale, and profile for reliability, performance, and cost * Build simulation environments and replay infrastructure for agent training and evaluation * Orchestrate distributed training and distributed RL with Ray, including scheduling, scaling, and failure recovery * Establish rigorous automated benchmarks and regression tests for world model predictions, agent performance, and simulation fidelity * Collaborate with Research Scientists, Product, and Engineering to integrate capabilities into Datadog's products and to harden prototypes into reliable services * Contribute to research publications at top-tier conferences (e.g., NeurIPS, ICLR, ICML), and produce high-quality code, documentation, and open-source artifacts Who You Are:   * You have depth in distributed computing, RL Infra, and ML systems for training and inference at scale; experience with Ray, Slurm, or similar frameworks is a plus * You are proficient in Python, familiar with a systems language (e.g., Rust, C++, or Go), and comfortable with modern cloud and data infrastructure * You have practical experience implementing and operating ML training and inference systems (e.g., PyTorch or JAX), including containerization, orchestration, and GPU acceleration * You have practical experience with large-scale model training and fine-tuning, including frameworks like Megatron-LM, DeepSpeed, SkyRL, VeRL, or TorchTitan, and techniques such as SFT, RLVR, RLHF, and efficient inference (quantization, speculative decoding) * You can explain design and performance trade-offs clearly to both technical and non-technical audiences * You have experience supporting or contributing to research publications   Bonus Points (any of the following):   * You have strong software engineering skills with experience in domains such as observability, SRE, or security * You have experience bridging research prototypes and real-world product applications, especially with large foundation models, world models, or RL-trained agents * You have a passion for pushing the boundaries of AI with a focus on customer impact and scalable deployment * You have hands-on experience with GPU programming and optimization, including CUDA * You have experience writing production data pipelines and applications * You have experience building simulation or sandbox environments for agent training   Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.   Benefits and Growth: * Competitive global benefits  * New hire stock equity (RSUs) and employee stock purchase plan (ESPP) * Opportunity to collaborate closely with colleagues across the Datadog offices in New York City and Paris * Opportunity to attend and present at conferences and meetups * Intra-departmental mentor and buddy program for in-house networking * An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)   Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.   About Datadog:  Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.   Equal Opportunity at Datadog: Datadog is an Affirmative Action and Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.   Your Privacy: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice.   #LI-hybrid ---------------------------------------------------------------------------------------------------------------------------------- About Datadog:  Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. ---------------------------------------------------------------------------------------------------------------------------------- Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.  Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.  Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Datadog

The eBPF Platform team owns the shared eBPF infrastructure inside the Datadog Agent, and is responsible for its reliability, performance, and evolution across a wide variety of Linux distributions and kernel versions. We build tooling and agent functionality for product teams utilizing eBPF (Network Performance Monitoring, Universal Service Monitoring, Cloud Workload Security, GPU Monitoring), enable new teams exploring eBPF, and centralize deep kernel expertise across the organization. The team contributes to open source projects such as btfhub and cilium/ebpf. Datadog is investing heavily in GPU Monitoring to give customers deep visibility into GPU utilization, health, and performance across their infrastructure. The eBPF Platform team builds the agent-side foundation that makes this possible, from eBPF programs that capture GPU activity at the kernel level, to the metrics pipelines and validation infrastructure that ensure data quality at scale. In this role, you will work at the intersection of eBPF, the Linux kernel, and GPU infrastructure. You'll contribute to GPU Monitoring capabilities within the Datadog Agent while also working across the broader eBPF platform, investigating production incidents, improving reliability, and helping shape the architecture of one of the most widely deployed eBPF solutions in the industry. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.   What You’ll Do: * Contribute to GPU Monitoring feature development end-to-end, from ideation to implementation within the Datadog Agent * Build and maintain shared eBPF functionality for product teams to use in their eBPF-based products * Investigate and debug complex production issues that span the kernel, eBPF programs, and agent runtime * Research, prototype, develop, and document solutions to hard problems in the eBPF and GPU monitoring space * Provide technical input to product and architecture decisions   Who You Are: * You have experience working with and developing in the Linux kernel, either using eBPF, as a kernel developer, or building low level programs in C * You have significant experience building high throughput/low latency systems * You have been building applications and tooling for 5+ years and know the systems you’ve worked on in depth * You are motivated by solving problems for our customers first and foremost and building beautiful products that our customers love * You have ability to work effectively in a team Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.   Benefits and Growth: * New hire stock equity (RSUs) and employee stock purchase plan (ESPP) * Continuous professional development, product training, and career pathing * Intra-departmental mentor and buddy program for in-house networking * An inclusive company culture, ability to join our Community Guilds * Access to Inclusion Talks, our Internal panel discussions * Free, global Spring Health benefits for employees and dependents age 6+ * Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-Onsite ---------------------------------------------------------------------------------------------------------------------------------- About Datadog:  Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. ---------------------------------------------------------------------------------------------------------------------------------- Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.  Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.  Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Deezer

LIVE THE MUSIC WITH US From a pioneer tech start-up created in 2007, Deezer has become one of the first French unicorns and the second largest independent music streaming platform in the world. At eighteen years old, we’re only just coming of age. Now listed on #EuroNext, Deezer is a rapidly-growing, cutting-edge player in the music streaming market. If you want an environment where you can make your voice heard and be at the forefront of music and tech, look no further! We believe music is all about embracing the things that make us different. Deezer is a vibrant community that celebrates uniqueness, diversity and individuality, and thrives on collaboration. Our international and passionate teams pride themselves on being at the forefront of the music experience, going beyond streaming and helping the world to Live the Music. We’re constantly evolving alongside our customers, partners, artists and employees — striving to make Deezer the most personal and innovative streaming service in the world. Ready for an electrifying journey? Apply now and do your part in bringing extraordinary music experiences to people’s lives! **Join Us** JOB DESCRIPTION The Core Product - Developer Experience Team is looking for an apprentice Platform engineer. The purpose of our team is to help teams achieve fast, secure and reliable deployments and releases by better understanding their developing experience, delivery pipelines and optimizing the 4 key metrics of DevOps performance (Deployment Frequency, Lead Time, Change Failure Rate, Mean Time To Restore Service). You will help by working on automating one of our main tools for build, you'll also get the chance to work closely with other teams as developers are at the heart of our work. You will drive the project end-to-end, from design and first steps all the way to a fully working tool in production. You'll report to a DevXP manager and be mentored by a member of the team By joining the DevXP Team at Deezer, you will: * Work on tools that help automating builds * Collaborate with other teams to improve their CI/CD processes of their apps * Improve and ensure good reliability of our developer platform * Monitor, detect anomalies, investigate problems, resolve incident and write good post-mortem * Participate to code review of solutions * Implement and optimize the SLOs and the Four Key Metrics of our services * Help the team reduce and automate run/toil tasks QUALIFICATIONS This role is excellent for a person with: * Bac +5 students * Experience with DevOps practices and philosophy (we use Docker, Git, Ansible, Jenkins, Helm, ArgoCD, Kubernetes, Terraform, Prometheus, Grafana, Elastic Stack, PHP, Python, Golang, etc.) * Good communication skills and the capacity to adapt * Willing to use and adopt new AI technologies in day-to-day work * At ease in teamwork and sharing of work * Ability to learn, to be creative and innovative * Good in writing well-documented procedures (english recommended) At Deezer, diversity drives innovation. Whatever makes you uniquely you, your experiences, your way of thinking, your journey, might be exactly what we need. If this role speaks to you and aligns with your interests and capabilities, even if you don’t meet 100% of the qualifications listed, please give it a try and tell us more! #BeYou ADDITIONAL INFORMATION At Deezer, you can be your true self as we believe that #everyvoicematters. We strive to build an inclusive culture and foster a diverse environment. Because we care and want to ensure each employee feels welcome and safe at work, we continuously focus on fighting biases and helping diverse teams work well together through multiple learning opportunities, e-learnings and workshops right from the onboarding : * Regular Diversity & Inclusion internal and external talks * Dedicated employee work streams on Gender equity, Ethnicity & Culture, Disability, Parenthood (signatory of the Parental Challenge) and LGBTQIA+ * Multiple e-learnings and mandatory training sessions for all managers * English and French courses for all, so that everyone can connect and feel included Beyond benefits like transportation, we offer you extra perks like: * A Deezer premium family account for free * Access to gym classes * Join over 70 Deezer Communities to connect beyond your day-to-day work, share passions, learn from each other and #Belong * Deezer parties several times a year and drinks every thursday * Allowance for sports, travelling and culture * Meal vouchers * Mental health and well-being support from Moka.Care * Great offices always located in dynamic and attractive districts, whether in Paris, London or Sao Paulo! * Hybrid remote work policy If you want to learn more about life and culture at Deezer, please visit our Welcome to the Jungle page here!

Nextory

You know that bit where every company says they’re “changing the world”? Yeah, it can feel a little forced. But we like to think our story actually has some realness to it. Our story begins with Shadi Bitar and Ninos Malki, who came to Sweden from Syria as kids and discovered that books could be a bridge - helping them learn the language, understand the culture, and explore new worlds. A thought emerged, what if everyone could have that? And just like that, Nextory was born - your all-access pass to read, listen, and discover new perspectives without limits. And now, we're on a quest to find a Design Engineer.  Let us tell you about the role 📖 As a Design Engineer at Nextory, you’ll be working at the intersection of design and engineering, you’ll help turn ideas into fast, intuitive, and genuinely enjoyable experiences. Together with our six product designers, product managers, and engineers, you’ll take ideas from rough concepts to polished features in production. Frontend development is your craft, and you care deeply about building high-quality user interfaces with thoughtful interactions, great performance, and attention to detail. You’ll have ownership throughout the entire journey, from the first sketch to the final release, caring just as much about the technical implementation as the user experience. Your story so far 👀 You thrive at the intersection of design and code. You move fast without losing your eye for detail, and you're equally energized by building tools other people use and great experiences for the users. We also believe that you have: * Strong fundamentals in modern frontend development - Vue, React or similar architecture * Experience building and extending design systems and component libraries in code, including working with Figma's developer tooling (Code Connect, Dev Mode, variables, component properties) to keep design and code in sync. * A track record of building internal tools, prototypes, and design-to-code infrastructure used by people across Nextory * Skillset to take promising prototypes from rough exploration to polished, production-quality features, owning both the technical implementation and the end result. * Good judgment on when to build for speed (a throwaway prototype) versus when to build for scale (a reusable component) A bonus if you also have experience and a keen interest in motion design. The Nextory way of working 🏠 At Nextory, we believe a strong and inclusive culture is key to our success and that culture flourishes when we meet and collaborate in person as much as possible. That’s why we spend the majority of the working time at our beautiful office! We are based in Stockholm, Sweden, with offices in Paris and Bangalore. Our hybrid work policy includes four days in the office and Wednesdays as a work-from-home day. Your next story starts here 💫 We look forward to your application 💫. Applications are reviewed continuously, but please note that due to summer vacations, our response times may be a little longer than usual. If you have any questions about the role, please contact erika.thorslund@nextory.com. Please note that we do not offer relocation and that a six-month probationary period applies.

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 Stripe Infrastructure is responsible for the reliability, scale, performance, and cost of Stripe's systems and the productivity and sentiment of Stripe's people. You may work on a wide variety of critical business areas including:  * Core Infrastructure—We're the home for Stripe's critical tier0 infrastructure systems (Compute, Networking, DocumentDB, Distributed Caching and High assurance engineering). We build the foundational platform for Stripe products and services to allow them to operate at scale. We drive reliability, availability, efficiency, and scalability of these systems. * Developer Infrastructure—We're responsible for the productivity of all developers at Stripe. Ensure Stripe's engineers have a reliable, fast, and easy-to-use inner dev loop to maximize productivity while building everything from low-latency microservices to large-scale data pipelines and machine learning models. * Data Infrastructure—We're responsible for offering data serving infrastructure spanning across data warehouse analytics, streaming analytics, and search capabilities. The stack is supported by a collection of internally developed large-scale distributed services and several popular open-source technologies like Trino/Presto, Apache Pinot, Hive Metastore, ElasticSearch etc. The systems we own support all of the data serving needs of high-scale services and thousands of individual Stripes across the company. * Admin Platform—We empower Stripes to quickly build secure and delightful internal products in service of their users. * Service Platform—We enable engineering teams at Stripe to easily write and ship useful services that correctly, reliably, and efficiently leverage platform capabilities. * Developer Productivity AI—We're responsible for doubling Stripe's engineering velocity through effective use of LLMs. We own Minions, Stripe's one-shot, end-to-end coding agents. Team matching—exact team matching for one of the subteams will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. Find more information on our team matching process here. WHAT YOU'LL DO You'll work on projects that span technologies, systems, and processes where you'll design, build, test, and ship great code every day. RESPONSIBILITIES * Build a great customer experience for internal and external Stripe teams using our infrastructure * Participate in roadmap planning and prioritization * Deliver value through a strong collaborative approach with multiple customers and stakeholders across Stripe * Debug production issues across services and several levels of the stack 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 * Strong software engineering skills and a passion for one of the areas above * Ability to write high-quality code (in programming languages like Go, Java, C/C++ etc.) * 2–12+ years of professional hands-on software development experience, able to write well-factored algorithms and have experience with commonly used data structures and algorithms * Hands-on experience contributing to or building large-scale distributed systems * Strong collaboration skills, can work across workstreams within your team and contribute to your peers' success * Customer obsession, ability to articulate and represent customer experience in various forums to drive the right outcome * Have the ability to thrive on a high level of autonomy and responsibility, and think of yourself as entrepreneurial PREFERRED QUALIFICATIONS * Experience optimizing the end-to-end performance of distributed systems * Focus on the needs of our users, both internal and external * Hold yourself and others to a high bar when working with production

ICT Additude AB

Are you an experienced Embedded Engineer with a passion for product development and modern technology? Do you want to work hands-on with advanced embedded systems and contribute to meaningful solutions together with skilled colleagues and clients in Skåne? Then we might have the opportunity for you.  ICT Additude is looking for an Embedded Engineer who wants to grow with us and be part of developing connected technology for the future. 🌟 The role As an Embedded Engineer at ICT Additude, you will work as a consultant in our clients product development teams from early concept to finished solution. You will collaborate closely with engineers and stakeholders on site, contributing to the design, development and testing of software for a wide range of embedded systems. Your assignments will vary depending on client, industry and phase of development. In each assignment, you are expected to contribute with technical expertise, a structured approach and a collaborative mindset that strengthens the team and supports steady progress throughout the development process. 🔍⚙️ Who we are looking for We are looking for an Embedded Engineer with solid experience in C and or C++ development within embedded environments, and a strong understanding of systems running Linux or RTOS. You are comfortable working with software architecture, analyzing complex systems and resolving technical challenges in both new and existing product development. As a consultant, you thrive in collaborative environments and enjoy working with different teams and stakeholders. You take ownership of your work, communicate clearly in both Swedish and English and contribute with a structured, solution oriented mindset. Sharing knowledge and supporting team progress comes naturally to you. 👉 Requirements Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, IT or related field Minimum 5+ years of experience in embedded software development using C and/or C++ Solid experience working with embedded systems running RTOS or Linux Experience from multiple projects and/or companies within embedded systems Strong communication skills in both Swedish and English Willingness to work on-site with clients in the Skåne region 🌈 Bonus Points Experience with Rust, Qt or similar technologies Proficiency in scripting languages such as Python, Shell or Perl Familiarity with tools such as GDB, Git and Gerrit Experience in test automation 🌍 Why ICT Additude? At ICT Additude, we value work-life balance, transparency and inclusion. We believe that long-term success starts with sustainable working conditions and continuous development. Through quarterly dev-talks with your manager, you ensure steady growth aligned with your ambitions. Your collective agreement-based employment includes 30 days of holiday, ITP1 pension and a generous 5,000 SEK wellness allowance. You can also choose a benefit bike – because balance matters both inside and outside of work. We are on a growth journey towards a smarter, safer and more sustainable tech world. Based in Malmö/Lund, we are part of a Europe-wide network within ICT Group, focusing on innovation and advanced product development. Please note that for this assignment we are looking for colleagues already located in Sweden, and we will only consider applications through our ATS.

Xamera AB

Om tjänsten: Xamera DEV söker nu mekanikkonstruktörer och beräkningsingenjörer till våra konsultuppdrag i Linköping. Vi söker dig som vill arbeta i tekniskt avancerade miljöer där kvalitet, struktur och långsiktighet är viktiga delar av vardagen. Som konsult hos Xamera DEV blir du en del av ett sammanhang där din kompetens tas tillvara och där uppdrag matchas utifrån din erfarenhet, inriktning och ambition. Oavsett om ditt fokus ligger på konstruktion, beräkning eller en kombination av båda, erbjuder vi möjligheter att utvecklas och bidra i komplexa tekniska sammanhang. Vi söker dig som: • Har erfarenhet av mekanisk konstruktion, tekniska beräkningar eller båda delar • Har en teknisk utbildning inom maskinteknik eller motsvarande • Är van att arbeta med tekniska underlag, analyser och dokumentation • Har god förståelse för mekaniska system, material och hållfasthet • Trivs i miljöer med höga krav på kvalitet, noggrannhet och struktur • Är kommunikativ och samarbetar väl med andra teknikdiscipliner • Behärskar svenska flytande i tal och skrift Du är analytisk, lösningsorienterad och tar ansvar för ditt arbete. Du har förmåga att sätta dig in i komplexa problem och bidra med teknisk kompetens som skapar värde. Oavsett om du är tidigt i karriären eller har lång erfarenhet ser vi att du är nyfiken, engagerad och vill fortsätta utvecklas. Om Xamera DEV: Xamera DEV är platsen där passion för teknik möter möjligheten att ta nästa steg i karriären. Vi arbetar med långsiktiga kundrelationer och erbjuder uppdrag där våra konsulter får utvecklas, påverka och göra verklig skillnad. Hos oss präglas kulturen av samarbete, kunskapsdelning och personlig utveckling – både tekniskt och professionellt. Vi tror på ett ledarskap som bygger på förtroende, tydlighet och omtanke, där människor ges ansvar och rätt förutsättningar att lyckas i sina uppdrag. Vi kombinerar nyfikenhet och framåtblickande teknik med förmågan att leverera här och nu. Det är så vi utvecklar morgondagens lösningar, samtidigt som vi skapar värde i dagens uppdrag. Praktisk information: Urval sker löpande, så skicka in din ansökan redan idag. Kontaktperson: Maja Palmqvist Har du frågor om tjänsten tveka inte att kontakta mig: maja.palmqvist@xamera.se Välkommen med din ansökan!

Adyen

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.  For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Optimize Interfaces We’re looking for an enthusiastic, self-driven Engineering Manager to lead the Optimize Interfaces team. You will lead the team that develops and owns the engineering foundation behind Adyen Payments Optimization: the backbone that delivers Routing and Signaling as a Service across the global payment processing. As an Engineering Manager, you will build, mentor, and coach a diverse and talented team of backend, machine learning and data engineers. You should be comfortable streamlining the team's engineering operations, refining product requirements together with product and merchants and encouraging effective collaboration. As a critical role in the continued success of our organization, you will help to iterate our culture and build an amazing team environment that will create future leaders for Adyen. What you'll do * Lead the cross-functional Optimization Interfaces team with hands-on technical leadership, driving architecture strategy and raising the bar through active mentoring and technical guidance. * Work cross-functionally with Design, Product, Data Engineers, Machine Learning Engineers, Developers and other key stakeholders. * Have a multiplier effect by motivating team members and providing coaching in areas including but not limited to: engineering best practices, scalable architecture design, product roadmap discussions. * Maintain an inclusive team culture focused on autonomy, ownership, collaboration, communication, and impact. * Collaborate with different teams to design and implement new services with reliability/infra/data/dev in mind. * Set clear individual and team goals that align with our strategic engineering ambitions in close collaboration with the product manager. * Create an inspiring and collaborative team environment with an open communication/feedback culture. * Recruit new team members who align with the Adyen culture and required skills.  Who you are * You have an affinity for the Payments optimization domain. * An energetic self-starter experienced in creating alignment between multiple teams. * You have experience with Core Java, Distributed systems, machine learning products and BI tools (e.g., Looker). * You are able to define, implement and monitor performance to quickly identify opportunities for improvement in existing systems. * You have experience in coaching and mentoring engineering talent. * You have experience in leading technical projects in a fast paced and critical environment. * You have experience collaborating with senior leadership to set strategic direction including product roadmaps. * You are an excellent communicator and team player who can inspire others around them. * You can clearly communicate technical concepts to non-engineers. Minimum Qualifications * 5+ years experience in managing engineering teams within a Java environment * 5+ years of experience in software development industry in a fast paced tech environment * Familiarity with working with Machine Learning and Data Engineering teams is a strong advantage * Prior experience in leading or mentoring data professionals is a plus Our Diversity, Equity and Inclusion commitments  Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen.  Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application! What’s next? Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.   This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

Professional Galaxy AB

Professional Galaxy is an IT and technology consulting company that provides highly specialized expertise within IT, software development, SAP, purchasing, electronics and mechanical design. We collaborate with experienced senior experts and deliver strategic value-creating expertise to some of Sweden's most complex and analytically demanding projects. Our focus is always on high quality, professionalism and clear, measurable results. We are now seeking a DevSecOps Engineer for one of our clients. About the assignment: Key Responsibilities: · Automating, developing and maintaining the team´s services · Providing Runtime support for infrastructure and services · Providing technical support and coaching for our development teams · Contributing to development roadmaps and other platform improvements · Always looking for ways to improve reliability and efficiency through automation. Competence Profile & Qualifications: · Minimum 5 years relevant working experience and specifically 3 years working experience in an enterprise production environment · Everything-as-Code enthusiast · Strong coding skills – Bash, Python, Java, Typescript · Open-minded and keen to learn new technologies · Thorough knowledge and experience of automation tools like Packer, Ansible, Chef · Hands on experience using AWS CodePipeline, CodeDeploy, CodeBuild · Skilled in CloudFormation · Experienced in automating processes · Working proficiency in NoSQL and SQL databases · In depth understanding of CI/CD tooling · AWS experience · Experience with serverless technologies and event-driven architecture · Experience with monitoring tools · Linux · Jenkins installation and maintenance · Lifecycle management.   Skills in the following are highly desirable: · Artifactory · Xray or other Vulnerability Scanning Tools · SonarQube · GitHub · Gerrit · AWS CDK. An added plus if you have also worked with: · Kubernetes · Database management. Our Dev Stack: · Java, Groovy, Javascript, Typescript, Python · AWS CloudFormation, CDK, SAM, EC2, ECS, IAM, Lambda, SQS, SNS, EventBridge, API Gateway, CodePipeline, CodeDeploy, CodeBuild and other Serverless technologies · Git, Packer, Ansible, Docker · Managing Artifactory, Jenkins and more · DynamoDB, MongoDB and PostreSQL · React, NextJS. Uppdragsinformation Uppdragslängd: 2026-04-27 to 2027-04-30 Placeringsort: Göteborg Svar önskas snarast, dock senast 2026-04-21. Are you the right person for the assignment, or do you want to recommend a strong candidate? Do not hesitate to contact us. Please apply directly through our system with: - Your updated CV in english - Availability to start the assignment In the motivation, describe why you are suitable for this assignment - refer to previous consulting assignments, employmxent, education and personal qualities. Please note: We do not accept any applications through mail. All applications have to be sent through the portal to be valid. Offer continuously: Please note that for this role we offer continuously. That means that we sometimes remove the assignments before the deadline. If you are interested, we recommend that you apply immediately.