Senior DevOps Engineer Come build the infrastructure behind serious production AI and have the freedom to shape how it scales from the ground up. We’re working with a fast-growing AI company looking for a Senior DevOps Engineer to take ownership of the infrastructure behind its production AI platform. You’ll work across Azure, Kubernetes, Terraform, Helm and CI/CD, solving challenges around scalability, reliability, security and running AI workloads in production. You’ll have genuine ownership of the infrastructure, influence key architecture decisions and help shape how the platform scales. Must Haves 7+ years working with production infrastructure and cloud environments 5+ years Terraform, with strong experience managing infrastructure through IaC 5+ years Kubernetes, including operating and troubleshooting production clusters Polish Speaking is a must Strong Azure experience, ideally 3+ years working with production environments 3+ years Helm for managing Kubernetes deployments Strong CI/CD experience, ideally with GitHub Actions Experience deploying and operating microservices and distributed systems Experience with multi-tenant architecture, security and data isolation Strong understanding of monitoring, alerting, reliability and production performance An automation-first mindset, reducing manual infrastructure and operational work wherever possible Comfortable taking end-to-end ownership and making infrastructure/architecture decisions Nice to Haves Strong Python skills for infrastructure tooling and automation Experience managing PostgreSQL in production, including performance and reliability Strong Linux / Bash knowledge and scripting experience Experience running AI/ML or LLM workloads in production Exposure to GPU infrastructure or model serving Experience with Prometheus, Grafana, OpenTelemetry or similar observability tooling Experience with cloud security and compliance in environments handling sensitive data Experience using AI coding tools or AI agents as part of your engineering workflow Department DevOps Locations Multiple locations Remote status Fully Remote Applicant tracking system by Teamtailor
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