Senior DevOps Engineer
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.
Your responsibilities
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
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
Benefits
Unrestricted AI Stack & Premium Gear: Fully paid licenses for Cursor, Claude Pro, etc.
Work with a talented team redefining the global perception of Poland
Flexible working hours and remote work options
Comfortable office in central Warsaw with all essential tools
Multisport card & private medical care
A culture of feedback – evaluation meetings, mentoring, and career growth opportunities
Frontier Engineering Culture: Build alongside elite engineers who are shipping systems that drive real investment decisions. Backed by continuous growth and a strong knowledge-sharing culture (check our YouTube).
Sounds like a perfect place for you? Don’t hesitate to click apply and submit your application today!
Senior DevOps Engineer
Senior DevOps Engineer