AWS, Python, Monitoring, Docker, Devops, Azure, Automation, English, Golang, Rust, Deep learning, CI/CD, Google Cloud Platform, GitHub Actions, GitLab, Terraform, A/B test, Apache Airflow, Stockholm County, DevOps
Requirements: Experienced (5+ years) platform engineer or software engineer with advanced Cloud & DevOps experience, or similar role with a focus on scalable systems, automation, and cloud infrastructure. Extensive experience with cloud platforms (at least one of GCP, Azure, AWS, in order of preference) Strong engineering mindset of building scalable and high-quality software products, following best practices like code structure, design patterns, testing, etc. Expert in Python, so you can refactor and optimize other people’s code. Also, advanced knowledge of at least one type-safe programming language (bonus points for Go, and/or Rust) Exceptional communication skills in English, you are able to collaborate effectively across teams and can discuss issues with other experts as well as break down complex problems for non-technical stakeholders. You passionately test your code and prefer to follow test-driven development You have hands-on experience with DevOps and CI/CD & infrastructure automation using tools and frameworks like GitHub Actions, Gitlab CI, Terraform, Docker Nice to have: Solid understanding of security best practices in cloud and ML environments Proficiency in containerization (Docker) and orchestration (k8s) frameworks for scaling ML workflows Experience with any deep learning, graph NNs, LLMs, knowledge graphs, RAGs Proven expertise in building and maintaining platforms for ML applications Experience with ML orchestration tools such as MLflow, Kubeflow, or Apache Airflow Familiarity with model versioning, A/B testing, and model monitoring strategies Remote: 100% (within EU) Start: 2025-02-10 End: 2025-11-30 Extension: N/A ID: LEAD-4720
