Senior DevOps Engineer - Azure & Terraform (m/f/d)
What makes us special:
- Advance your career with exciting professional opportunities in our thriving company with a startup feel.
- Voice your unique ideas in a corporate culture defined by openness and integrity.
- Enjoy the opportunity to work from abroad (workation).
- Feel at home working with our helpful, enthusiastic colleagues who have great team spirit.
- Broaden your perspective with our extensive training curriculum and learning programs (e.g. LinkedIn Learning).
- Speak your mind in our holistic feedback and development processes (e.g. 360-degree feedback).
- Satisfy your need for adventure with our opportunities to live and work abroad in one of our many international offices
- Enjoy our benefits, such as hybrid working, daycare allowance, corporate discounts, and wellbeing support (e.g. Headspace).
- Unwind in our break areas where you can help yourself to the healthy snacks and beverages provided.
- See another side of your coworkers at our frequent employee events and highly anticipated World Meeting and Holiday Party.
- Design, build, and operate Azure infrastructure using Terraform as the primary Infrastructure as Code platform.
- Own Terraform architecture across multiple production environments, including modules, state, versioning, dependencies, and environment separation.
- Define reusable IaC standards, patterns, and automation that can be adopted across engineering teams.
- Build and improve Azure DevOps CI/CD pipelines covering build, test, infrastructure deployment, application deployment, approvals, rollback, and release controls.
- Establish strong SDLC practices including code quality, security scanning, quality gates, and tools such as SonarQube.
- Design secure Azure environments using VNets, private endpoints, RBAC, Managed Identities, Key Vault, and least-privilege principles.
- Operate and improve AKS environments, including deployment, scaling, networking, observability, security, and troubleshooting.
- Lead production incident management, including investigation, prioritization, technical coordination, communication, resolution, and root-cause follow-up.
- Make and communicate architectural decisions, clearly explaining trade-offs, risks, operational impact, and maintainability.
- Take end-to-end ownership of platform initiatives while guiding engineers and communicating effectively with technical and non-technical stakeholders.
- 5+ years of experience in DevOps, Cloud, or Platform Engineering with clear evidence of Senior-level ownership . Ability to work independently, make technical decisions, guide other engineers, and communicate clearly in English (C1+).
- Deep hands-on Terraform expertise is a core requirement , including personally designing, implementing, and operating production infrastructure at scale. Nice to have: HashiCorp Terraform Associate certification or another relevant Terraform certification.
- Proven experience managing Terraform across multiple complex production environments, with strong knowledge of modules, state, lifecycle, imports, dependencies, and deployment strategies. A plus: Experience managing infrastructure across a large number of production environments.
- Strong hands-on Azure experience, including secure networking, identity, access management, secrets management, and production operations.
- Strong Azure DevOps experience , particularly designing and maintaining enterprise-grade CI/CD pipelines. Nice to have: Experience with GitHub Actions.
- Good understanding of the complete SDLC, including automated testing, code quality, security scanning, artifact management, approvals, and release governance. Additional advantage: Experience with Azure Policy, Defender for Cloud, or container/image security tooling.
- Solid Kubernetes experience, preferably with AKS , plus strong Docker and containerization knowledge.
- Proven experience leading complex production incidents and driving root-cause analysis and follow-up improvements.
- Strong stakeholder-management skills, including the ability to explain technical risks, trade-offs, incidents, and delivery challenges clearly.
- Nice to have: Experience with Azure AI / Foundry, ML platforms, or data-heavy workloads. Additional asset: Experience with LangChain, LangGraph, LangSmith , or similar AI orchestration, evaluation, and observability platforms.
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