DevOps Engineer II​/Senior

Dev Ops Engineer II / Senior (Long Beach, CA)

Design and implement AI agents that automatically troubleshoot CI/CD testing failures, generate actionable insights, and proactively address findings within organizational software. Build autonomous AI ecosystems that continuously monitor, analyze, and improve software quality across all programs.

• 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 related discipline.
• 2+ years of professional software development experience, including verification and validation practices.
• Hands‑on experience building AI‑driven automation systems.
• Experience with AI tools, LLMs (ChatGPT, Claude, etc.), and AI coding assistants.
• 2+ years of proficiency in Python and 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 required.

• Bachelor’s degree in Computer Science, Software Engineering, or related discipline.
• 5+ years of professional software development experience, including verification and validation practices.
• Hands‑on experience building AI‑driven automation systems.
• Experience with AI tools, LLMs (ChatGPT, Claude, etc.), and AI coding assistants.
• 5+ years of proficiency in Python and 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 required.

• Active Secret or Top Secret Clearance.
• Experience with AI agent frameworks, autonomous systems, or multi‑agent orchestration.
• Proven track record building intelligent automation solutions for complex software quality problems.
• Background in machine learning, natural language processing, or predictive analytics.
• Proficiency in C and C++.
• Strong problem‑solving skills with an automation‑first mindset.
• Proven track record producing or testing high‑quality software in CI/CD pipelines.
• Experience building dashboards using Grafana, Kibana, or custom visualization frameworks.
• Knowledge of security testing tools and Dev Sec Ops  security practices.
• Aerospace background supporting satellite, spacecraft, constellation, or launch vehicle operations.
• Demonstrated leadership in testing design and working with engineering teams.
• Ability to produce clear, well‑structured, and well‑documented designs.
• Expertise in Git‑based workflows, CI/CD pipelines, and Kubernetes orchestration.
• Experience with observability and monitoring tools (Prometheus, ELK stack, etc.).

Rocket Lab provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type. This policy applies to all employment decisions.

To comply with U.S. Government regulations, applicants must be U.S. citizens or eligible to obtain necessary authorizations.