h3Job Description /h3 /brpAs 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. /p /brpBuilding 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. /p /brpIt 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. /p /brpYou 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. /p /brpAt 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. /p /brh3Job Requirements /h3 /brul /brliAt least 5 years commercial experience with proven experience with Azure or/and AWS cloud platforms /li /brliStrong proficiency with Kubernetes and Docker /li /brliSolid understanding of CI/CD pipelines and automation tools, especially GitHub Actions /li /brliExperience with microservices architecture /li /brliExperience in infrastructure as code (Terraform, Ansible, etc.) /li /brliStrong scripting skills (Python, Bash, etc.) /li /brliExcellent problem-solving and troubleshooting abilities /li /brliStrong collaboration and communication skills – ideally developed in a client facing consultancy environment /li /brliBachelor’s degree in computer science or related discipline /li /br /ul /brh3Nice to have /h3 /brul /brliExperience working with Generative AI platforms and AI application infrastructure /li /brliFamiliarity with Microsoft Foundry, Azure OpenAI, or similar AI/LLM platforms /li /brliUnderstanding of LLMOps concepts including model deployment, evaluation, monitoring, and governance /li /brliExperience supporting AI workloads on Kubernetes and GPU-enabled environments /li /brliKnowledge of vector databases, AI gateways, and retrieval-augmented generation (RAG) architectures /li /brliFamiliarity with AI security, responsible AI, and data governance considerations /li /brliExperience with MLOps/LLMOps tooling such as MLflow, Prompt Flow, LangChain, Semantic Kernel, or similar frameworks /li /brliUnderstanding of modern AI agent architectures and orchestration frameworks /li /brliExposure to infrastructure optimization for AI workloads, including scaling, performance, and cost management /li /br /ul /brh3Job Responsibilities /h3 /brul /brliDesign, implement, and manage scalable and reliable cloud infrastructure on Azure and AWS /li /brliDevelop and maintain CI/CD pipelines to automate deployment processes /li /brliManage container orchestration and GitOps requirements using Kubernetes and Docker /li /brliCollaborate with development teams to ensure seamless integration and deployment /li /brliMonitor system performance and troubleshoot issues to ensure high availability /li /brliImplement and manage infrastructure as code solutions /li /brliUnderstanding of networking security concepts, including ingress and egress controls, to ensure secure and compliant infrastructure management. /li /brliWork closely with cross-functional teams to drive innovation and continuous improvement /li /brliMentoring more junior team members /li /br /ul /brh3Job Benefits /h3 /brul /brliCompensation rewards: Competitive salary with a variable performance-based bonus /li /brliWork environment: Modern office in the heart of Zurich with access to an on-site gym, sports classes (yoga, pilates, spinning) and healthy snacks /li /brliFlexibility: Hybrid working model - balance remote work with in-office collaboration /li /brliLearning growth: Ongoing investment in your professional development, with clear opportunities to take on leadership /li /brliParental 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 /li /brliTravel mobility: Paid Halbtax travel card to support sustainable commuting /li /brliTeam culture: Join a diverse, international team across 5 locations, with regular team events and opportunities for cross-border collaboration /li /brliRecognition rewards: Attractive referral bonuses for both candidate and client conversions. /li /brliOur values: A culture grounded in inclusivity, curiosity, ownership, and collaboration - where your ideas shape the future of AI consulting. /li /br /ul #J-18808-Ljbffr
Senior DevOps Engineer, CH Arbeitgeber: vector8
Vector8 ist ein hervorragender Arbeitgeber, der seinen Mitarbeitern nicht nur ein wettbewerbsfähiges Gehalt und leistungsabhängige Boni bietet, sondern auch eine moderne Arbeitsumgebung im Herzen von Zürich mit Zugang zu einem Fitnessstudio und flexiblen Arbeitsmodellen. Die Unternehmenskultur fördert Vielfalt und Zusammenarbeit, während kontinuierliche Investitionen in die berufliche Entwicklung klare Aufstiegsmöglichkeiten bieten. Hier haben Sie die Möglichkeit, an bedeutenden Projekten zu arbeiten und Ihre Ideen aktiv in die Zukunft der KI-Beratung einzubringen.
