DevOps Engineer II​/Senior

Rocket Lab is an end-to-end space company delivering responsive launch services, complete spacecraft design and manufacturing, payloads, satellite components, and more – all with the goal of opening access to space. The rockets and satellites we build and launch enable some of the most ambitious and vital space missions globally, supporting scientific exploration, Earth observation, and missions to combat climate change, national security, and exciting new technology demonstrations.

At Rocket Lab, we’re not just launching rockets—we’re building the future of space. Our Space Systems team builds everything from complete spacecraft, precision payloads to the components and subsystems that allow them to thrive in space, like solar panels, flight software, star trackers, optical systems, separation systems, radios, and more.

Our Space Systems team has enabled more than 1,700 missions, ranging from interplanetary exploration, in‑space manufacturing to national security and defense initiatives. The team has built spacecraft, payloads, and components for missions to the Moon and Mars, working with partners including NASA, the Space Development Agency, and the U.S. Space Force.

As a Dev Ops Engineer II/ Senior based at Rocket Lab’s site in Littleton, CO, you will revolutionize software quality assurance through AI‑driven automation and intelligent systems. This role sits within the Dev Sec Ops  organization and focuses on building autonomous AI ecosystems that continuously monitor, analyze, and improve software quality across all organizational programs and platforms.

This highly technical, automation‑focused role expects you to build and maintain AI‑powered quality automation ecosystems, design AI agents that troubleshoot CI/CD testing failures, create intelligent reporting systems, and collaborate with Dev Sec Ops  teams to ensure security, quality, and compliance throughout the SDLC.

• Build and maintain AI‑powered quality automation ecosystems that monitor CI/CD pipelines across multiple programs and platforms
• Design and implement AI agents that automatically detect, analyze, and troubleshoot software testing failures with minimal human intervention
• Develop intelligent reporting systems that provide real‑time quality metrics, trend analysis, and actionable recommendations to leadership
• Create automated notification and alerting systems that proactively engage teams when quality issues are detected
• Identify and close quality gaps in organizational software through systematic analysis of findings, patterns, and root causes
• Leverage machine learning and AI tools to predict potential quality issues before they occur
• Integrate LLMs and AI assistants into testing workflows to enhance test coverage and defect detection
• Produce comprehensive automated test suites that run continuously in CI/CD pipelines
• Collaborate with Dev Sec Ops  teams to ensure security, quality, and compliance throughout the SDLC
• Drive continuous improvement through data‑driven insights and AI‑enhanced quality processes
• Manually test complex edge cases that AI systems flag as high‑priority or difficult to automate
• Work with development teams through code reviews and integrated pipelines to ensure quality is built in from the start

• Bachelor’s degree in Computer Science, Software Engineering, or other technical discipline
• 2+ years of experience in professional software development including software verification and validation practices
• Experience in AI/ML technologies with hands‑on experience building AI‑driven automation systems
• Demonstrated experience using AI tools, LLMs (ChatGPT, Claude, etc.), and AI coding assistants in daily workflows
• 2+ years of proficiency in Python with experience in AI/ML libraries and frameworks
• Knowledge of CI/CD pipeline automation tools and Dev Sec Ops  practices
• Experience with data analysis, metrics collection, and building reporting/dashboard systems
• Knowledge of the Software Development Life Cycle and V‑Model
• U.S. citizenship is required, due to program requirements