DevOps Engineer/Architect at AFRY | Stockholm

About PathwayPathway is revolutionizing artificial intelligence with the introduction of the world’s first post-transformer model that emulates human thought processes.Our innovative architecture (BDH) surpasses traditional Transformer models, offering enterprises unparalleled insight into model functionality. By merging our foundational model with the fastest data processing engine available, Pathway empowers organizations to transcend incremental improvements and achieve truly contextualized, experience-driven intelligence. Trust from esteemed clients such as NATO, La Poste, and Formula 1 racing teams underscores our impact.Guided by co-founder & CEO Zuzanna Stamirowska, a complexity scientist, our team includes AI trailblazers like CTO Jan Chorowski, who pioneered the application of Attention in speech and collaborated with Nobel laureate Geoffrey Hinton at Google Brain, and CSO Adrian Kosowski, a leading computer scientist and quantum physicist who earned his PhD at 20.Headquartered in Palo Alto, California, Pathway is supported by prominent investors and advisors, including TQ Ventures and Lukasz Kaiser, co-author of the Transformer model and a key researcher behind OpenAI’s reasoning frameworks.The OpportunityWe are seeking a talented Machine Learning DevOps Engineer with a strong background in cloud and compute cluster management, infrastructure scaling, and Linux administration. Our development, ML training, and production environments operate in the cloud, utilizing several major cloud service providers. Your role will be pivotal in managing and automating processes while scaling our infrastructure to meet the demands of our expanding team and production needs.Your ResponsibilitiesOptimize infrastructure for machine learning training and inference (e.g., GPUs, distributed computing).Automate and maintain ML/LLM pipelines (data ingestion, training, validation, deployment).Manage model versioning, ensuring reproducibility and traceability.Handle terabyte-scale datasets.Implement CI/CD practices tailored to machine learning.Monitor model performance and manage data drift in production.Collaborate with machine learning engineers, software developers, and platform teams.This role emphasizes the operationalization of machine learning models, guaranteeing scalability, reliability, and automation throughout the ML lifecycle.What We Are Looking ForStrong familiarity with Linux, shell scripts, and cluster configuration as foundational tools.Proficiency in workload management, containerization, and orchestration (e.g., Slurm, Docker, Kubernetes).Solid understanding of CI/CD tools and workflows (e.g., GitHub Actions, Jenkins).

About PathwayPathway is revolutionizing artificial intelligence with its pioneering post-transformer model that mimics human thought processes.Our groundbreaking architecture (BDH) surpasses traditional Transformer models, providing enterprises with comprehensive insights into model functionality. By integrating this foundational model with the fastest data processing engine available, Pathway empowers organizations to transcend mere incremental improvements and embrace genuinely contextualized, experience-driven intelligence. Trusted by prestigious entities like NATO, La Poste, and Formula 1 teams, we are at the forefront of technological advancement.Founded by complexity scientist Zuzanna Stamirowska, our leadership team includes AI visionaries such as CTO Jan Chorowski, who pioneered Attention in speech processing and collaborated with Nobel laureate Geoff Hinton at Google Brain, and CSO Adrian Kosowski, a distinguished computer scientist and quantum physicist who earned his PhD at 20.With backing from esteemed investors and advisors, including TQ Ventures and Lukasz Kaiser, co-author of the Transformer model behind ChatGPT and a key figure at OpenAI, Pathway operates out of Palo Alto, California.The OpportunityWe are seeking a passionate Senior ML Infrastructure / DevOps Engineer who thrives on optimizing Linux environments, distributed systems, and GPU cluster scalability over traditional notebook usage. You will be responsible for the infrastructure that drives our machine learning training and inference workloads across diverse cloud platforms, managing everything from basic Linux setups to advanced container orchestration and CI/CD pipelines.Your role will be integral to the R&D team, focusing on production infrastructure, including clusters, networks, storage, observability, and automation. Your contributions will directly influence the speed and efficiency of model training, deployment, and iteration.Why This Role is UniqueManage and scale GPU-intensive clusters utilized daily by the R&D team for high-scale training and rapid inference.Design, build, and automate our ML platform, moving beyond the execution of predefined playbooks.Collaborate across multiple major cloud providers to tackle intriguing challenges in networking, scheduling, and cost/performance optimization at scale.Your ResponsibilitiesArchitect, operate, and scale GPU and CPU clusters for ML training and inference (Slurm, Kubernetes, autoscaling, queue management, quota management).Automate infrastructure provisioning and configuration using infrastructure-as-code (Terraform, CloudFormation, cluster tooling) and configuration management techniques.Create and uphold robust ML pipelines (data ingestion, training, evaluation, deployment) with strong assurances around reproducibility, traceability, and rollback capabilities.Implement and maintain monitoring and observability solutions to ensure maximum uptime and performance.

Join Us as a Senior Machine Learning Engineer!Be a Part of AI & Data TransformationAt Datatonic, we proudly serve as Google Cloud's premier partner in AI, spearheading transformative changes for leading enterprises. Our dedication to pushing the technological envelope is evident through our expertise in machine learning, data engineering, and analytics on the Google Cloud Platform. Collaborating with us empowers clients to future-proof their operations, glean actionable insights, and maintain a competitive edge in an ever-evolving landscape.Your Role and ResponsibilitiesAs a Senior Machine Learning Engineer, you will excel in crafting elegant code in Python and take immense pride in your deliverables. You will champion high-quality engineering practices and best practices in both production software and rapid prototyping. While this role is hands-on, we seek candidates eager to lead projects and engage actively in client discussions. You will build trusted relationships, creatively apply machine learning to solve real-world challenges, scope projects, and ensure seamless delivery.Key ResponsibilitiesRequirements Translation: Analyze ambiguous requirements to develop models that tackle real-life challenges.Data Science Expertise: Execute ML experiments using relevant programming languages and machine learning libraries.Generative AI: Harness generative AI to create groundbreaking solutions.Optimization: Enhance machine learning solutions for optimal performance and scalability.Custom Implementation: Develop tailored machine learning code to address specific requirements.Data Engineering: Facilitate efficient data flow between databases and backend systems.MLOps: Automate ML workflows, emphasizing testing and deployment practices.

The RoleJoin our dynamic team at Netlight as a Cloud Infrastructure Engineer in our Stockholm office. You will be responsible for designing, building, and managing secure, resilient, and scalable cloud infrastructure on both Azure and AWS platforms, while spearheading our Kubernetes initiatives. Your role will involve automating processes wherever feasible, enhancing our internal platforms, and working collaboratively across various locations to ensure seamless daily operations. Our dedicated Cloud Infrastructure team empowers consultants with access to cutting-edge AI models, streamlining operations, optimizing performance, and allowing them to focus on what truly matters — delivering exceptional value to our clients.With your expertise, we aim toElevate our Azure cloud environment to a professional standard by restructuring our subscription management and permission frameworks to enhance control and compliance throughout our tenant. You will also be tasked with developing new systems to replace outdated components, taking ownership of what we build in the long term.

Join our dynamic team at Devoteam as a Senior to Principal Machine Learning / AI Engineer, where your expertise in cutting-edge technology will drive innovation and excellence. You will collaborate with talented professionals to develop and implement advanced machine learning solutions that address real-world challenges.

Join Modal as a Forward Deployed Engineer specializing in Machine Learning, where you will become a pivotal member of our innovative team. You will work closely with clients, leveraging your expertise to implement and optimize machine learning solutions that drive business success.

Join Spotify as a Senior Machine Learning Engineer, specializing in our Generative UI Platform. In this pivotal role, you will leverage your expertise in machine learning to enhance user experiences by developing cutting-edge generative models. You will collaborate with cross-functional teams to innovate and implement solutions that redefine how users interact with our platform.

Betsson Group is actively seeking a forward-thinking Director of Public Cloud Infrastructure to spearhead and enhance the core of our global platform within the public cloud domain.The OpportunityIn this pivotal leadership position, you will oversee a critical infrastructure landscape that encompasses public cloud platforms, systems operations, cloud security, and observability. Success in this role requires a steadfast commitment to continuous improvement, enabling the scaling of teams, platforms, and business achievements. You will guide various engineering leaders to craft the vision, operational framework, and technical roadmap for cloud infrastructure at scale. This role requires close collaboration with product teams, security, compliance, and global business stakeholders to ensure our cloud infrastructure remains resilient, scalable, secure, and cost-efficient.Your Responsibilities Include:LeadershipInspire and motivate team engagement and delivery through your vision and leadership.Drive modernization efforts including cloud adoption, Infrastructure as Code (IAC), automation, and platform standardization.Develop and refine the target architecture across public cloud environments.Oversee the complete infrastructure engineering capabilities within public cloud platforms, aligning with business objectives, regulatory standards, and architectural requirements.People & OrganizationLead and mentor senior engineering managers and technical leaders across a large, distributed organization.Foster high-performing teams with clear accountability, a robust engineering culture, and operational excellence.Establish performance goals and career development pathways for leaders and teams.Operational ExcellenceEnsure high availability, performance, reliability, and scalability of all infrastructure services.Manage cloud engineering with an emphasis on uptime and incident management.Implement best-in-class practices for observability, monitoring, alerting, and incident response.Oversee capacity planning, disaster recovery, and business continuity strategies.Cloud & Infrastructure CapabilitiesLead cloud strategy and execution across public cloud platforms.Promote Infrastructure as Code, AI adoption, automation, and self-service capabilities for engineering teams.

Role Overview H&M Group is looking for a Lead Machine Learning Engineer in Stockholm. This role guides a team of engineers and shapes the company’s approach to artificial intelligence and machine learning. The position focuses on developing new algorithms and deploying machine learning solutions that improve the customer experience and support data-driven decisions across the business. What You Will Do Lead and mentor a team of machine learning engineers Design and develop advanced algorithms for real-world applications Implement machine learning models that impact customer experience Support data-driven strategies and help optimize business processes Location This position is based in Stockholm.

Role Overview Betsson Group is looking for a Service Manager - Infrastructure & Cloud to guide the team in Stockholm. This role focuses on managing infrastructure and cloud services, maintaining high standards for performance, reliability, and scalability. What You Will Do Oversee daily operations of infrastructure and cloud services Work closely with other teams to improve service delivery Lead initiatives that support the company's growth and stability

Join the dynamic team at Betsson Group as a DevSecOps Engineer, where your expertise will play a crucial role in enhancing our infrastructure security. We are looking for a passionate individual who thrives in a collaborative environment and is eager to implement cutting-edge security practices within our DevOps processes.

Join Us at SanaSana is at the forefront of AI innovation, dedicated to creating superintelligence that empowers organizations to reach their goals more efficiently. We believe that with the right tools, teams can access knowledge seamlessly, automate monotonous tasks, and enhance their learning experiences through agentic AI. As a proud member of Workday, we aim to develop AI solutions that amplify human capabilities rather than replace them.Our mission is realized through two groundbreaking products: Sana Agents, which streamline access to company applications, knowledge, and data, allowing AI agents to perform meaningful work, and Sana Learn, an AI-driven learning hub that merges a modern platform with intelligent features such as AI tutors and automated content generation, making knowledge not only accessible but actionable.We are a highly skilled, product-driven team of engineers and designers hailing from industry giants like Google, Spotify, Apple, and Databricks, united by our commitment to technical excellence and rapid iteration. Our solutions are already enhancing the productivity of over a million users across leading enterprises, and we are just getting started.The RoleAs an Infrastructure Engineer, you will play a pivotal role in strengthening our engineering teams by developing and sustaining the technical infrastructure necessary for our products to thrive. Your work will encompass cloud infrastructure, deployment systems, and developer tools, serving as a vital technical ally to other engineering teams with a strong emphasis on reliability and performance.Your ResponsibilitiesServe as the backbone of our ambitious objectives, ensuring our infrastructure remains robust and scalable.Assist feature development teams with critical infrastructure decisions and deployment strategies.Function as a Site Reliability Engineer (SRE) while continuously improving our Developer Experience (DX).Design and implement scalable cloud infrastructure solutions.Your QualificationsStrong background in backend engineering and cloud deployment.Experience with creating highly available, scalable, and extensible backend systems.Expertise in Google Cloud Platform (GCP) and Kubernetes.Proven track record of supporting development teams with innovative infrastructure solutions.Familiarity with site reliability engineering principles.

Key ResponsibilitiesEngage actively in the strategic planning of new features and products, with a focus on the creation, maintenance, and cost-effectiveness of infrastructure.Ensure the stability of systems that support both internal projects and collaborative partner developments, maintaining 24/7 availability for our global customer base.Collaborate with internal IT and Pipeline teams to design and implement scalable infrastructure solutions.Facilitate compliance processes by providing builds and collaborating with testing representatives to achieve timely certification.Effectively communicate issues, objectives, and milestones within the team.Participate in a highly collaborative environment with regular code reviews and design meetings.

As a Cloud Engineer at Sopra Steria, you will play a pivotal role in building and enhancing cloud-based solutions that drive innovation and efficiency for our clients. You will work collaboratively within a dynamic team to design, implement, and maintain cloud infrastructure that meets the highest standards of security and performance.Join us to contribute to exciting projects that leverage cutting-edge technologies in a fast-paced environment.

We are on the lookout for a seasoned Director of Private Cloud Operations to spearhead the strategy, development, and management of our private cloud infrastructure.Your ImpactAs the Director of Private Cloud Operations, you will shape the strategy, oversee the development, and ensure the seamless operation of our private cloud capabilities. This includes managing compute, storage, backup, connectivity, and database platforms that are essential for supporting critical business applications across our global organization. Your commitment to delivering scalable, secure, and highly reliable infrastructure services will empower teams to operate efficiently. Collaborating closely with the Head of Public Cloud, you will contribute to a unified hybrid cloud strategy that facilitates efficient application deployment and operation across both cloud environments.Key Responsibilities:Private Cloud Strategy & Platform DevelopmentDefine and implement the strategy for our private cloud platform, ensuring alignment with enterprise technology and business objectives.Lead efforts to modernize, automate, and scale our infrastructure platforms.Ensure compatibility of the private cloud with hybrid and multi-cloud application architectures.Enhance platform capabilities to support self-service and platform consumption for internal teams.Platform OwnershipManage the design, lifecycle, and operational efficiency of critical infrastructure services, including:Compute platforms (including virtualization and containerization)Storage and data servicesEnterprise backup and recovery solutionsNetwork connectivity and data center integrationDatabase platforms supporting enterprise operationsService Reliability & OperationsGuarantee high availability, performance, and resilience for all private cloud services.Establish operational standards, service-level objectives (SLOs), and reliability metrics.Lead incident management and continuous improvement initiatives.Ensure robust integration with IT service management processes.Hybrid Cloud CollaborationWork closely with the Head of Public Cloud to create and maintain a cohesive hybrid cloud ecosystem.Align architectural standards, networking, security protocols, and operational models across private and public cloud platforms.

Role Overview AFRY is looking for a DevOps Engineer in Stockholm to support projects within the defense sector. This role focuses on improving deployment pipelines and automating workflows to strengthen software delivery for national security initiatives. What You Will Do Work closely with cross-functional teams to streamline and automate software deployment processes Enhance and maintain deployment pipelines to support reliable, high-quality releases Contribute to projects that have a direct impact on national defense capabilities

Are you passionate about cloud technologies and eager to drive innovation? Join Sopra Steria as a Cloud Native Platform Engineer! In this role, you will work with cutting-edge technologies to design and implement scalable cloud solutions, ensuring optimal performance and reliability.We are looking for an individual with a strong background in cloud architecture and platform engineering who can collaborate with teams to deliver high-quality services. Your expertise will be crucial in enhancing our cloud infrastructure and supporting our clients in their digital transformation journeys.

Join Us as a Platform Engineer at Lovable, where we are driving the future of AI software engineering. We are seeking a talented platform engineer to architect and scale our infrastructure, ensuring it meets the immense demands of our innovative software solutions. Why Choose Lovable?At Lovable, we empower individuals and businesses to create software using simple English language. From solo entrepreneurs to Fortune 100 companies, millions of users rely on our platform to turn their ideas into tangible products rapidly. We are at the forefront of a revolutionary change in software development, providing you with an exceptional opportunity to redefine digital creation. With over 2 million users across more than 200 countries, Lovable is just beginning its journey of transformation.Our small, highly skilled team is based in Stockholm, and we prioritize extreme ownership, rapid execution, and collaborative teamwork without ego. We are looking for individuals who are passionate, quick to deliver, and eager to make a significant impact.Ideal Candidate ProfileExtensive experience in building production infrastructure as a Platform Engineer, Site Reliability Engineer, or a similar role.Proficient in service orchestration, networking, cloud infrastructure, and modern scalable infrastructure practices gained from experience in a global tech startup or scale-up.Strong programming skills in relevant languages.Ability to navigate ambiguity and address challenges as they arise.A keen focus on security, stability, and performance, with the ability to make informed trade-offs.Located in Stockholm or willing to relocate, as this is an on-site role requiring attendance five days a week.Your ResponsibilitiesIn summary: You will own and scale the platform that enables everyone to utilize AI in their engineering work.Design, build, and maintain systems crucial for our AI product, including:A secure and scalable runtime environment for running AI agent workloads.A high-throughput sandbox scheduler spanning multiple cloud providers.Fortify our infrastructure against failures, downtime, and performance slowdowns.Support our growth, ensuring our infrastructure remains robust and does not become a bottleneck.

AECOM is currently seeking a Structural Engineer for Infrastructure Projects to join our dynamic team.In this role, you will collaborate with both our local and international colleagues within the construction engineering domain. You will engage in a variety of projects ranging from smaller local assignments related to infrastructure works to being part of large multidisciplinary projects (both locally and internationally) alongside our design team. As a Structural Engineer, you will work closely with our local Technical Managers, assisting them in planning, coordination, requirements management, and quality assurance, including supporting them as an Assistant Technical Manager.We are currently engaged in some of the most exciting and significant infrastructure projects in Sweden, focusing on roads and railways. Our environment is strongly international, and English is used daily as we collaborate with colleagues around the world, primarily in Europe.Responsibilities for the Structural Engineer role at AECOM include:Identifying, communicating, and applying project and technical specific requirements while supporting Technical Managers in monitoring compliance within the project team.Supporting Technical Managers in meetings and coordinating the construction team.Contributing to the identification of project changes and estimating the scope of changes in both time and budget.Creating effective workflows with design and documentation production alongside the design team.Assisting Technical Managers with reviews and ensuring that quality assurance processes are followed and documented.