{"id":1662019,"url":"https://alion.io/job/vector8-senior-devops-engineer-ch","title":"Senior DevOps Engineer, CH","company":{"id":2118054,"name":"Vector8","domain":"vector8.com","url":"https://alion.io/company/vector8","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"HiBob","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-02T05:45:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Switzerland"],"countries":["CH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":81000,"max_usd":174000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Ansible","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Edge AI","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitOps","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Terraform","optional":false},{"name":"AI Agents","optional":true},{"name":"LangChain","optional":true},{"name":"LLM","optional":true},{"name":"LLMOps","optional":true},{"name":"MLFlow","optional":true},{"name":"OpenAI","optional":true},{"name":"Semantic Kernel","optional":true}],"status":"live","first_seen_at":"2026-09-10T10:36:28Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-02T18:08:38Z","board_verified":true,"closed_at":null,"days_open":22,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":22},"description":"As part of vector8’s continued growth we are looking to strengthen our DevOps capability in Zurich. We are hiring a Senior DevOps Engineer who with your skills in Azure, AWS, Kubernetes, Terraform and Docker, will play a key role in helping us build and maintain robust, scalable infrastructure that supports our innovative solutions in our Swiss markets. Building on your experience in Cloud Infrastructures you will have the opportunity to work with cutting-edge AI technologies and innovative solutions that create real, measurable business value in production.\nIt is likely that you will have honed your experience in a consultancy, agency, or system integrator environment, ideally with a proportion of your experience in customer facing roles, ideally within the Swiss banking and Insurance sectors. In this role you will need to have professional level German and English language skills (C1) as you will be working closely with customer stakeholders.\nYou will have a demonstrable interest in AI and you’ve actively developed your knowledge of modern AI - generative AI, RAG and agents - and have some understanding of what it takes to deliver these solutions into production.\nAt vector8, we value boldness, excellence, authenticity, collaboration, and humanity. We offer a welcoming and inclusive environment where your work will make a real difference in driving growth and productivity for leading industries. \nResponsabilidades\nDesign, implement, and manage scalable and reliable cloud infrastructure on Azure and AWS \nDevelop and maintain CI/CD pipelines to automate deployment processes \nManage container orchestration and GitOps requirements using Kubernetes and Docker \nCollaborate with development teams to ensure seamless integration and deployment \nMonitor system performance and troubleshoot issues to ensure high availability \nImplement and manage infrastructure as code solutions \nUnderstanding of networking security concepts, including ingress and egress controls, to ensure secure and compliant infrastructure management. \nWork closely with cross-functional teams to drive innovation and continuous improvement \nMentoring more junior team members\nRequisitos\nAt least 5 years commercial experience with proven experience with Azure or/and AWS cloud platforms \nStrong proficiency with Kubernetes and Docker \nSolid understanding of CI/CD pipelines and automation tools, especially GitHub Actions \nExperience with microservices architecture \nExperience in infrastructure as code (Terraform, Ansible, etc.) \nStrong scripting skills (Python, Bash, etc.) \nExcellent problem-solving and troubleshooting abilities \nStrong collaboration and communication skills - ideally developed in a client facing consultancy environment\nBachelor’s degree in computer science or related discipline \nNice to have\nExperience working with Generative AI platforms and AI application infrastructure\nFamiliarity with Microsoft Foundry, Azure OpenAI, or similar AI/LLM platforms\nUnderstanding of LLMOps concepts including model deployment, evaluation, monitoring, and governance\nExperience supporting AI workloads on Kubernetes and GPU-enabled environments\nKnowledge of vector databases, AI gateways, and retrieval-augmented generation (RAG) architectures\nFamiliarity with AI security, responsible AI, and data governance considerations\nExperience with MLOps/LLMOps tooling such as MLflow, Prompt Flow, LangChain, Semantic Kernel, or similar frameworks\nUnderstanding of modern AI agent architectures and orchestration frameworks\nExposure to infrastructure optimization for AI workloads, including scaling, performance, and cost management\nBeneficios\nCompensation & rewards: Competitive salary with a variable performance-based bonus\nWork environment: Modern office in the heart of Zurich with access to an on-site gym, sports classes (yoga, pilates, spinning) and healthy snacks \nFlexibility: Hybrid working model - balance remote work with in-office collaboration\nLearning & growth: Ongoing investment in your professional development, with clear opportunities to take on leadership\nParental leave: 16 weeks fully paid maternity leave, with a flexible 50% return-to-work option in the first month (while receiving full salary) and 4 weeks fully paid leave for the second parent\nTravel & mobility: Paid Halbtax travel card to support sustainable commuting\nTeam & culture: Join a diverse, international team across 5 locations, with regular team events and opportunities for cross-border collaboration\nRecognition & rewards: Attractive referral bonuses for both candidate and client conversions.\nOur values: A culture grounded in inclusivity, curiosity, ownership, and collaboration - where your ideas shape the future of AI consulting.","description_format":"text","description_chars":4729,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[{"language":"German","level":"All levels","optional":false},{"language":"English","level":"All levels","optional":false}]},"benefits":["Hybrid work","Parental leave","Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","LLM & Generative AI"],"lifecycle":[{"event":"open","at":"2026-10-02T04:07:19Z"}],"liveness":{"score":45,"band":"ok","label":"Likely open","p_open":1,"p_active":0.598,"p_room":0.75,"age_days":21,"expected_fill_days":30,"reasons":["conf:1","win:late"],"computed_at":"2026-10-02T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/vector8-senior-devops-engineer-ch","json_url":"https://alion.io/job/vector8-senior-devops-engineer-ch.json","meta":{"generated_at":"2026-10-03T00:34:58Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":186,"day_limit":5000,"remaining_today":4814,"minute_limit":60,"resets_at":"2026-10-04T00:00:00Z"}}}