{"id":2856897,"url":"https://alion.io/job/ericsson-master-thesis-lab-resource-orchestration-and-platform-engineering","title":"Master Thesis: Lab Resource Orchestration and Platform Engineering","company":{"id":56456,"name":"Ericsson","domain":"ericsson.com","url":"https://alion.io/company/ericsson","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":83,"open_postings":102,"ghost_share":0,"stale_share":0.686,"repost_share":0,"time_to_fill_p50_days":32,"computed_at":"2026-10-22T06:10:10Z"}},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Stockholm, Sweden"],"countries":["SE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"FastAPI","optional":true},{"name":"Git","optional":true},{"name":"Helm","optional":true},{"name":"Jenkins","optional":true},{"name":"Kubernetes","optional":true},{"name":"Pydantic","optional":true},{"name":"Rest API","optional":true}],"status":"live","first_seen_at":"2026-10-01T13:13:23Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-22T12:41:10Z","board_verified":true,"closed_at":null,"days_open":21,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":21},"description":"Join our Team\nAbout this opportunity:\n\nLab as a Service (LaaS) is a strategic cloud-native platform within Ericsson, designed to provide a scalable, automated, and self-service way of managing test environments across R&D.\nWhat you will do:\n\n- Analyze laboratory resource topologies and test-channel architectures.\n- Investigate automated equipment discovery, matching and allocation.\n- Design intelligent scheduling, booking and capacity-management algorithms.\n- Explore AI-driven resource utilization and reservation optimization.\n- Study fairness, prioritization and conflict resolution.\n- Contribute to cloud-native orchestration and provisioning services.\n- Investigate RF-domain modelling and provisioning.\n- Prototype, benchmark and validate solutions.\nThe skills you bring:\n\n- You are pursuing a Master's degree in Computer Science.\n- You have a solid experience of Python programming language.\n- You have a strong understanding of AI, ML, Cloud-native architecture.\n- You are analytical, structured, systematic and able to work in team or independently.\n- Knowledge of distributed systems and microservice architectures is a plus.\n- Experience with FastAPI, Pydantic and REST APIs is beneficial.\n- Familiarity with MongoDB and database technologies is an advantage.\n- Knowledge of CI/CD and Jenkins is appreciated.\n- Familiarity with Docker, Helm and Kubernetes is a plus.\n- Experience with Git and modern software development practices is advantageous.\n- This thesis is suitable for 2 students.\nWhy join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.\nWhat happens once you apply?Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. 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