Senior DevOps Engineer

About Entrada AI

Entrada AI is a specialized consulting partner and a strategic portfolio company of Databricks Ventures. We were recently named the Genie Partner of the Year (2026) for our work deploying Databricks Genie at enterprise scale—bridging the gap between AI ambition and the trusted, governed data required for accurate responses. With over 150 Databricks projects delivered, we unlock self-service analytics for Fortune 500 leaders.

Databricks invested in us because of our technical excellence, placing us in the "inner circle" of the ecosystem. For our engineers, this means direct access to product roadmaps, private previews, and the teams building the platform. You will join a team of industry veterans who value clean architecture over quick fixes. We don't just maintain pipelines; we solve complex architectural challenges.

Key Responsibilities

• Infrastructure as code and CI/CD across clouds (AWS, GCP, Snowflake)

• Gemini Enterprise integration and identity propagation

• Snowflake RBAC and network policy as code

• Observability and cost-per-query instrumentation

Must-haves

• Terraform at depth: modules, state management, multi-provider (google, aws, snowflake)

• GCP: IAM, Workload Identity, VPC Service Controls, Secret Manager

• Snowflake as code with RBAC provisioning, understanding network policies, PrivateLink, service accounts

• SSO and OIDC identity propagation end to end: surface → orchestration → data

• CI/CD: GitHub Actions, pre-commit, environment promotion, Automations, Integrations, Ephemeral Environments

• Observability: latency, cost-per-query, tool errors, guardrail triggers

• Python for tooling and pipeline glue

The Offer

Cooperation Models:

Poland: Available via Employment Contract (UoP) or B2B.

Romania/ Greece: Available via B2B only.

• 100% Remote: Full flexibility to work from anywhere in Poland/ Romania / Greece

• High-End Tech: Apple MacBook Air M4 15" provided to all engineers.

• Referral Bonus: Bonus for bringing other top-tier engineers to the team.

• Professional Growth:

  • Certification Support: Coverage for all Databricks technical certifications.

  • Industry Leadership: Support in reaching the highest tiers of Databricks expertise (such as the Champion program) tailored to your specific career track.

  • Personal Branding: Opportunities to present at global industry conferences and contribute to technical thought leadership.

  • Expert Mentorship: Direct collaboration with Databricks MVPs and core product teams, giving you a front-row seat to the platform's evolution.

Recruitment Process

• Introductory Call (20 min): Short conversation with our Recruiter to discuss your background and expectations.

• Technical Interview (60 min): Deep dive into your technical skills with our engineering team.

• Optional Client Interview: Required only in specific cases.

• Decision & Offer: We aim to close the process and provide feedback efficiently.

Originally posted on Himalayas