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Open nowPosted 42 days ago

Senior DevOps Engineer, CH

vector817 open roles

Where
Switzerland
Work mode
Hybrid
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Your applicationOpen nowSenior DevOps Engineer, CHvector8 · Switzerland

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Share of postings closed within
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  2. 4.3%3 days
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  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 42 days ago

The posting

Job 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.

It 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.

You 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.

At 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.

  • At least 5 years commercial experience with proven experience with Azure or/and AWS cloud platforms
  • Strong proficiency with Kubernetes and Docker
  • Solid understanding of CI/CD pipelines and automation tools, especially GitHub Actions
  • Experience with microservices architecture
  • Experience in infrastructure as code (Terraform, Ansible, etc.)
  • Strong scripting skills (Python, Bash, etc.)
  • Excellent problem-solving and troubleshooting abilities
  • Strong collaboration and communication skills – ideally developed in a client facing consultancy environment
  • Bachelor’s degree in computer science or related discipline

Nice to have

  • Experience working with Generative AI platforms and AI application infrastructure
  • Familiarity with Microsoft Foundry, Azure OpenAI, or similar AI/LLM platforms
  • Understanding of LLMOps concepts including model deployment, evaluation, monitoring, and governance
  • Experience supporting AI workloads on Kubernetes and GPU-enabled environments
  • Knowledge of vector databases, AI gateways, and retrieval-augmented generation (RAG) architectures
  • Familiarity with AI security, responsible AI, and data governance considerations
  • Experience with MLOps/LLMOps tooling such as MLflow, Prompt Flow, LangChain, Semantic Kernel, or similar frameworks
  • Understanding of modern AI agent architectures and orchestration frameworks
  • Exposure to infrastructure optimization for AI workloads, including scaling, performance, and cost management
  • Design, implement, and manage scalable and reliable cloud infrastructure on Azure and AWS
  • Develop and maintain CI/CD pipelines to automate deployment processes
  • Manage container orchestration and GitOps requirements using Kubernetes and Docker
  • Collaborate with development teams to ensure seamless integration and deployment
  • Monitor system performance and troubleshoot issues to ensure high availability
  • Implement and manage infrastructure as code solutions
  • Understanding of networking security concepts, including ingress and egress controls, to ensure secure and compliant infrastructure management.
  • Work closely with cross-functional teams to drive innovation and continuous improvement
  • Mentoring more junior team members

Job benefits

  • Compensation & rewards: Competitive salary with a variable performance-based bonus
  • Work environment: Modern office in the heart of Zurich with access to an on-site gym, sports classes (yoga, pilates, spinning) and healthy snacks
  • Flexibility: Hybrid working model - balance remote work with in-office collaboration
  • Learning & growth: Ongoing investment in your professional development, with clear opportunities to take on leadership
  • Parental 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
  • Travel & mobility: Paid Halbtax travel card to support sustainable commuting
  • Team & culture: Join a diverse, international team across 5 locations, with regular team events and opportunities for cross-border collaboration
  • Recognition & rewards: Attractive referral bonuses for both candidate and client conversions.
  • Our values: A culture grounded in inclusivity, curiosity, ownership, and collaboration - where your ideas shape the future of AI consulting.
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