Senior Software Engineer, Control Plane

Quick Facts

• Role: Senior Software Engineer, Control Plane

• Team focus: Unified Control Plane services across Starburst Enterprise Platform (SEP), Starburst Galaxy, and Trino

Description

You will design and build backend services and cloud infrastructure for a unified Control Plane that works across both multi-tenant SaaS and customer-operated on-premise/air-gapped deployments. The work includes provisioning and upgrading APIs, cluster lifecycle management, operational tooling, and unifying capabilities such as access control, multi-cluster management, routing, catalog management, and observability into a single implementation for both deployment models.

Responsibilities

• Design, develop, and maintain shared control plane services used across Starburst Enterprise, Starburst Galaxy, and Trino

• Deliver a unified control plane by implementing capabilities as one system for both SaaS and self-managed deployments

• Own reliability, scalability, and efficiency (performance/$) for the services you build, including provisioning/upgrading APIs and cluster lifecycle management

• Support two operating models at once: managed scale service operations and customer-operated deployments across AWS, Azure, GCP, and on-premise

• Provide thoughtful, timely peer pull request and design proposal reviews

• Continuously improve engineering processes, tests, and systems so the codebase and team productivity scale together

• Collaborate globally with clear written communication via Slack, GitHub PRs, and design documents

• Provide exceptional customer support for internal and external customers

• Periodically assist with the React and TypeScript-based Portal UI (frontend knowledge beneficial, not required)

Requirements

• 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, with sound judgment about where they help and where they don’t

• Demonstrated experience with software engineering and design best practices

• Appreciation for maintainable, performant, high-quality software in a globally distributed team

• Intrinsic motivation to improve software engineering craftsmanship

• Comfort with significant autonomy and ownership

• Ability to connect the dots when replacing two implementations with one

• Demonstration of Ownership, Grit, and Bias for Action

Benefits

• Work on globally scaled control plane infrastructure spanning SaaS and self-managed/air-gapped environments

• High-impact role in the Data Analytics space with strong opportunities to learn from complex deployment problems