Jobs / United States / Starburst Data INC

Starburst Data INC

Senior Software Engineer, Control Plane

Boston, MA Posted 17 days ago

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 3 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Apr 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Starburst Data INC paid sponsored hires in similar roles1 certified filing for “Senior Software Engineer” (Software Developers) in DE: $194k–$194k, median $194k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 3 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Apr 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Starburst Data INC paid sponsored hires in similar roles
1 certified filing for “Senior Software Engineer” (Software Developers) in DE: $194k–$194k, median $194k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

About Starburst Starburst delivers enterprise intelligence at scale by giving organizations secure, governed access to all their data, wherever it lives. Built for distributed data environments, Starburst helps enterprises power AI and analytics without the cost and complexity of traditional data consolidation. With open standards including Trino and Apache Iceberg, Starburst enables trusted access to complete enterprise context while helping organizations avoid vendor lock-in. Leading global enterprises trust Starburst to fuel AI, analytics, and enterprise intelligence. Learn more at starburst.ai . About the role Starburst is looking for strong Java engineers to work with our globally distributed engineering team on the core of Starburst's software. This role sits on the Control Plane team, whose mandate is to converge the control planes of our two flagship deployment models, self-managed Starburst Enterprise Platform (SEP) and fully managed Starburst Galaxy, into a single, unified platform. You will design and build backend services and cloud infrastructure that run in both worlds: multi-tenant SaaS at global scale, and customer-operated on-premise and air-gapped deployments. Both models bring unique and interesting problems, and incredible learning opportunities for any engineer. Starburst offers the opportunity to compete at global scale with other elite vendors in the Data Analytics space and external customers. As a Senior Software Engineer, Control Plane at Starburst you will: • Design, develop, and maintain control plane services shared by Starburst Enterprise , Starburst Galaxy , and Trino . • Contribute to the Unified Control Plane: take capabilities that exist in one product (access control, multi-cluster management, routing, catalog management, observability) and deliver them as a single implementation that serves both SaaS and self-managed deployments. • Own the reliability, scalability, and efficiency (performance/$) of the services you build - provisioning and upgrading APIs, cluster lifecycle management, and the operational tooling that runs them. • Build for two very different operating models at once: a service Starburst operates at scale, and software our customers deploy and operate themselves across AWS, Azure, and GCP as well as on-premise. • Provide considerate and timely review of your peers' pull requests and design proposals. • Continuously improve our engineering processes, tests, and systems so the codebase and the team's productivity scale together. • Collaborate with team members and other teams globally, and operate in a fast-paced environment. • We prioritize focused work, ensuring minimal time is spent in formal meetings, allowing you to concentrate on coding and PR reviews. • Clearly articulating your ideas in writing — Slack, GitHub PRs, design documents — is essential in our globally distributed team. • Provide exceptional customer support for both internal and external customers. • We're humbled by the trust our customers place in our platform to crunch their data, and we handle the problems they report with utmost seriousness. • Periodically assist with the React and TypeScript-based Portal UI that surfaces these features; while knowledge of frontend development is beneficial, it is not a prerequisite. Some of the things we look for: • Prior experience developing distributed systems. • Extensive software development experience with Java. • Cloud infrastructure architecture and orchestration experience across at least one major cloud provider. • Experience building and operating backend services that others depend on — APIs, control loops, lifecycle management. • Hands-on adoption of AI coding tools and agents in day-to-day engineering — shipping real code with them, and

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