DevOps Engineer II/Senior
Listed on 2026-07-14
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Software Development
AI Engineer (Applied/Software), DevOps
ABOUT ROCKET LAB
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 efforts to combat climate change, national security, and exciting new technology demonstrations.
SPACESYSTEMS
At Rocket Lab, we are not just launching rockets – we are 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, such as solar panels, flight software, star trackers, optical systems, separation systems, radios, and more.
DEVOPS ENGINEER II / SENIORAs a Dev Ops Engineer II/Senior based at Rocket Lab's global headquarters in Long Beach, CA, 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.
You will design and implement AI agents that automatically troubleshoot CI/CD testing failures, generate actionable insights, identify quality gaps, and proactively address findings within organizational software before they impact mission‑critical operations. This is a highly technical, automation‑focused role for someone who sees software quality engineering as an opportunity to build intelligent systems that work 24/7.
WHAT YOU'LL GET TO DO:- 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 another 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 and dashboard systems
- Knowledge of the Software Development Life Cycle and V‑Model
- U.S. citizenship is required, due to program requirements
- Bachelor's degree in Computer Science, Software Engineering, or another technical discipline
- 5+ years of experience in professional software development including software verification and validation…
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