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DevOps Engineer II​/Senior

Job in Long Beach, Los Angeles County, California, 90899, USA
Listing for: Rocket Lab
Full Time position
Listed on 2026-06-30
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 125000 - 170000 USD Yearly USD 125000.00 170000.00 YEAR
Job Description & How to Apply Below
Position: DevOps Engineer II/ Senior

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 missions to combat climate change, national security, and exciting new technology demonstrations.

Space Systems At Rocket Lab, we build every component of space systems, from spacecraft to zero‑gravity payloads, solar panels, star trackers, and more. Our team has enabled more than 1,700 missions, including NASA, Space Development Agency, and U.S. Space Force projects.

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.

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

Position Level
:
This position can be hired at Dev Ops Engineer II or Senior Dev Ops Engineer I level.

Qualifications You'll Bring As Dev Ops Engineer II
  • 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
Qualifications You'll Bring As Senior Dev Ops Engineer I
  • Bachelor's degree in Computer Science, Software Engineering, or other technical discipline
  • 5+ 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
  • 5+ 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…
Position Requirements
10+ Years work experience
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