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AI Summary

You will take ownership of the infrastructure behind a production AI platform, focusing on scalability, reliability, and security. You will influence key architecture decisions and manage the deployment of AI workloads in production environments.

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

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