# Senior Software Engineer, Context Layer

**Company**: Starburst
**Location**: Warsaw
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/starburst/jobs/5429073008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_fb5df787-ab1

## Description

Starburst's Enterprise Context Layer turns scattered data into governed, versioned Data Products , business definitions, access policy, and lineage built in , so BI tools, applications, and AI agents all work from the same trusted answer.

As a Senior Software Engineer on this team, you'll build the backend services that harvest business context from where it already lives, govern it through a certification and versioning workflow, and serve it to both people and AI agents across the platform.

Responsibilities:

- Design, build, and operate backend services that collect and reconcile business context from a variety of existing systems into governed Context Studio.

- Build and evolve the certification and versioning workflow that lets teams trust a single definition of their metrics and data.

- Contribute to the APIs and MCP-based integrations that let AI agents and BI tools query certified context directly.

- Own reliability and data consistency for services that merge and reconcile information from many sources at once.

- Partner directly with product on what gets built, not just how , and pick up frontend, tooling, or other full-stack work when it's the fastest way to unblock a feature or validate an idea.

- Work cross-functionally with teams across the platform, including those building AI-powered features, to ship context-aware capabilities.

- Provide considerate, timely review of your peers' pull requests and design proposals.

Requirements:

- A builder's mindset with strong product thinking , you care about the "why" behind a feature, not just the elegance of the implementation.

- Extensive software development experience with Java, with the versatility and willingness to work across the full stack , frontend, tooling, infra , when the problem calls for it.

- Experience designing, building, and operating distributed backend services in production.

- Experience designing and operating REST APIs.

- Experience modeling and serving graph-structured or richly-relational data.

- Experience integrating LLMs into backend systems , structured extraction, prompt-based enrichment, or evaluating LLM output for correctness , relevant to how we help harvest and enrich context.

- Comfort working in ambiguous, fast-evolving problem spaces where architecture is still being defined.

- Hands-on experience using agentic coding tools in real production work, with the judgment to apply proper guardrails , testing, review, verification steps , so speed doesn't come at the cost of code quality or correctness.

- Demonstrated experience with software engineering best practices.

- Bonus: experience with data catalogs, semantic layers, or metadata/governance systems (e.g., dbt, Collibra) is a plus, not required.

Benefits:

- Competitive pay

- Attractive stock grants

- Flexible paid time off

- More

## Skills

### Required
- Java
- distributed backend services
- REST APIs
- graph-structured data
- LLMs integration
- software engineering best practices

### Nice to have
- data catalogs
- semantic layers
- metadata/governance systems

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/starburst/jobs/5429073008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)