DevOps Engineer II/ Senior
About The Role
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.
The 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.
DevOps Engineer II/ Senior
This role sits within the DevSecOps 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.
- Create AI-powered reporting dashboards, automated notification systems, and predictive analytics that give leadership real-time visibility into software health across the entire organization.
- 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.
- Drive continuous improvement through data-driven insights and AI-enhanced quality processes.
Qualifications
- 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 skills with experience in AI/ML libraries and frameworks
- Knowledge of CI/CD pipeline automation tools and DevSecOps 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 Requirement
U.S. citizenship is required, due to program requirements.
What To Expect
We’re on a mission to unlock the potential of space to improve life on Earth, but that’s not an easy task. It takes hard work, determination, relentless innovation, teamwork, grit, and an unwavering commitment to achieving what others often deem impossible. Our people out-think, out-work, and out-pace. We pride ourselves on having each other’s backs, checking our egos at the door, and rolling up our sleeves on all tasks big and small. We thrive under pressure, work to tight deadlines, and our focus is always on how we can deliver, rather than dwelling on the challenges that stand in the way.