Senior DevOps Engineer

O projekcie: We are an AI-native data and technology partner for private capital and healthcare. Founded in 2010 and headquartered in Warsaw, we work with leading PE firms, VC funds, and healthcare organizations to build proprietary data infrastructure, deploy AI solutions, and drive AI-native transformation. Our clients manage a cumulative $210B+ in assets. Our average engagement runs five years. Our NPS sits above 80. We don't need to claim credibility — we can show it. We've also done to ourselves what we now do for clients. We've restructured our own company around AI — tools, policies, roles, delivery models. This isn't a pitch. It's a playbook we've already run, and we're hiring the engineers who will run it for others. The Project: We are carrying out the project for our client, an American private equity and investment management fund - listed on the Forbes 500 list - based in New York. We support them in the area of data pipeline, infrastructure and data engineering team. They operate very widely in the world of finance, loans, investments and real estate. Tech stack AWS (EC2, ELB, IAM, Lambda, RDS, Route53, S3, Athena, Redshift, EKS), Azure (Entra ID / Copilot integration), Terraform, Python, Bash, SQL, Docker, Kubernetes, Apache Airflow, Snowflake, GitLab, Artifactory, SQLAlchemy. Best practices: CI/CD, Code Reviews, Scrum. Wymagania: What we're looking for - 10+ years in IT, including 5+ years in a DevOps/Cloud role- Deep AWS expertise (IAM, EC2, S3, EKS and beyond); Azure awareness for Copilot-adjacent work- Solid Terraform background — you've owned IaC end-to-end, not just contributed to it- Kubernetes experience: setting it up from scratch, scaling, day-2 operations- Docker proficiency- Strong Python and Bash skills- Identity and auth engineering: IAM, Entra ID, OAuth/OIDC, SSO, Okta, Active Directory- Observability and SRE mindset — you write runbooks, you own reliability, you don't just monitor- Experience with relational and NoSQL databases- C1+ English — written and spoken Nice to have - Experience with data pipeline tools (Airflow, Snowflake, Redshift, Athena)- Familiarity with Artifactory or similar repository managers- Experience in secure/corporate networking environments (proxies, firewalls)- Python data stack: Pandas, NumPy, SQLAlchemy; basic ML libraries a plus- Comfort working in both Windows and Unix environments Codzienne zadania: - Designing, building and maintaining cloud infrastructure across AWS environments, with Azure involvement where needed for Copilot integration - Writing and owning Infrastructure-as-Code (Terraform) — from greenfield builds to ongoing refactors - Running containerized workloads (Docker, Kubernetes) across multi-region setups - Owning observability: logging, metrics, dashboards, reliability targets, operational runbooks - Engineering identity and auth solutions — IAM policies, Entra ID, OAuth/OIDC, SSO, Okta, token ownership, service vs. user auth, cross-platform access - Debugging real production issues: API failures, auth loops, rate limits, model config problems, client SDK bugs, capacity constraints - Building reusable tooling and infrastructure for data scientists and engineers - Supporting the broader data engineering team with DevOps expertise - Documenting what you build — clearly and thoroughly