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Starburst logo

Staff Software Engineer

Posted 3 months ago

OfficeWarsaw, Poland440k - 540k PLN

About Starburst

Starburst is the data platform for analytics, applications, and AI, unifying data across clouds and on-premises to accelerate AI innovation. Organizations—from startups to Fortune 500 enterprises in 60+ countries—rely on Starburst for fast data access, seamless collaboration, and enterprise-grade governance on an open hybrid data lakehouse. Wherever data lives, Starburst unlocks its full potential, powering data and AI from development to deployment. By future-proofing data architecture, Starburst helps businesses fuel innovation with AI.

About the role

As a Staff Engineer on the Spark Job Manager and Starburst Enterprise team, you will own critical backend and platform components that orchestrate distributed compute (Spark, Trino) for enterprise customers. You will lead the design and implementation of JVM-based services and the surrounding infrastructure: Kubernetes deployments, Docker image strategy, CI/CD automation, AWS integrations, and secure enterprise authentication flows. This is a staff-level role requiring architectural leadership, cross-team influence, and long-term platform ownership.

As a Staff Software Engineer at Starburst, you will:

  • Own critical backend and platform components that orchestrate distributed compute (Spark, Trino) for enterprise customers.
  • Lead the design and implementation of JVM-based services and the surrounding infrastructure, including Kubernetes deployments, Docker image strategy, CI/CD automation, AWS integrations, and secure enterprise authentication flows.
  • Provide architectural leadership, cross-team influence, and long-term platform ownership.

Some of the things we look for:

  • Deep Backend Engineering & Distributed Systems:
    • 8+ years of professional backend experience, with strong expertise in Java (primary and required) and production experience building JVM-based services.
    • Experience designing and operating distributed systems in production. Working with Spark, Trino/Presto, or comparable distributed compute engines is a strong plus.
    • Extensive experience designing and evolving RESTful APIs, including validation, error modeling, pagination, filtering, backward-compatible versioning, and OpenAPI documentation.
  • Infrastructure & Operations:
    • Hands-on production experience with Kubernetes (authoring manifests/Helm charts) and strong Docker experience (multi-stage builds, image optimization, security best practices).
    • Experience owning CI/CD for complex Java codebases, using GitHub Actions (preferred) or Jenkins.
    • Practical AWS experience with S3 (or S3-compatible object storage), IAM roles/policies, and AWS SSO.
    • Familiarity with secure authentication mechanisms: OAuth2 / OIDC, token-based auth, and session management.
    • Experience implementing Metrics (Prometheus preferred), Distributed tracing (OpenTelemetry), and structured logging for JVM services is a plus.
  • Staff-Level Impact:
    • Proven experience leading architecture across multiple services or systems.
    • Demonstrated ability to drive cross-team RFCs, break down ambiguous problems, influence engineering standards, and raise the technical bar through code reviews and mentorship.
    • Own long-term platform health, not just feature delivery.
  • Highly Preferred Experience:
    • Experience building job orchestration platforms.
    • Experience working in enterprise / B2B environments.
    • Strong Python skills for automation and tooling.
    • Experience running systems in hybrid or on-prem environments.
    • Collaboration on open-source projects is a strong plus.
  • Ability to Travel: This role will require 25% in-person travel for purposes including but not limited to new hire onboarding, team and department offsites, customer engagements, and other company events. Actual travel expectations may vary by role and business needs.

Where could this role be based?

  • This role is based in our Warsaw office and follows a hybrid model, with an expectation of being onsite 2-3 days per week.

Salary ranges: 440,000 - 540,000 PLN anually

Build your career at Starburst

All-Stars have the opportunity and freedom to realize their true potential. By building alongside top talent, we’re empowered to take ownership of our careers and drive meaningful change. Anchored in industry-proven technology and unprecedented success, All-Stars are taking on the challenge everyday to disrupt our industry – and the future.

Our global workforce is supported by a competitive Total Rewards program that reflects our commitment to a rewarding and supportive work environment. This includes a variety of benefits like competitive pay, attractive stock grants, flexible paid time off, and more.

We are committed to fostering an intentional, inclusive, and diverse culture that drives deep engagement, authentic belonging, and an exceptional All-Star experience. We believe that diversity of thought, perspective, background and experience will enable us to own what we do, drive our success and empower our All-Stars to show up authentically.

Starburst provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state
or local laws.

Job details
Workplace
Office
Location
Warsaw, Poland
Salary
440k - 540k PLN
per year

Starburst delivers enterprise intelligence with federated access to all your data, powering AI, faster insights, and trusted decisions at scale.

Employees
538
Industry
Software Development
Headquarters
Boston, Massachusetts
Founded
2017
Company location
Boston, Massachusetts
Specialties
Distributed Systems, Databases, Big Data, Analytics, Data Lake, Data Virtualization, Data Federation, Trino, Data Mesh, SQL Query Engine, AI, Data Lakehouse, Agentic AI, Data Products, Apache Iceberg, Open Data Lakehouse, Federated Query, Data Governance, Multi-Cloud, Data Observability, Hybrid Cloud, Query Optimization, Data Engineering, Open Source, Data Architecture, Artificial Intelligence, Generative AI, Data Management, Data Intelligence, Business Intelligence, On-prem, and Data Science

Key team members

Ben Rohrs

Ben Rohrs

Wade Chambers

Wade Chambers

Steven Chung

Steven Chung

Jeffrey Breen

Jeffrey Breen

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