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# DevOps Engineer II/ Senior

- **Company:** Rocket Lab
- **Location:** Littleton, CO, United States
- **Experience:** Expert
- **Salary:** $115,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Code Coverage, Software Quality, Code Review, Continuous Integration, DevOps, Monitoring of Systems, Python (Programming Language), Machine Learning, Natural Language Processing, Systems Development Life Cycle, Software Tools, Prometheus, Software Engineering, Software Systems, Software Quality Assurance (SQA), Large Language Models, Grafana, Multi-Agent Systems, Software Troubleshooting, Git Flow, Scikit Learn, Kubernetes, Information Technology, Virtual Agents, Kibana, GPT, Devsecops, Elk Stack
- **Published:** August 7, 2026
- **Apply:** https://www.disabledperson.com/jobs/74020357-devops-engineer-ii-senior

## About the Role

* 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 is required, due to program requirements, * 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 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 is required, due to program requirements

THESE QUALIFICATIONS WOULD BE NICE TO HAVE:

 * Active Secret or Top Secret Clearance
 * Experience with AI agent frameworks, autonomous systems, or multi-agent orchestration
 * Proven track record building intelligent automation solutions that solve complex software quality engineering problems
 * Background in machine learning, natural language processing, or predictive analytics
 * Proficiency in C and C++ languages
 * 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 tools like Grafana, Kibana, or custom visualization frameworks
 * Knowledge of security testing tools and DevSecOps security practices
 * Aerospace background supporting satellite, spacecraft, constellation, or launch vehicle ground/mission 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.)

This position may require prolonged periods of sitting, standing, walking, computer work, and occasional exposure to moderate levels of noise, dust, and fumes in production areas.

## Description

As a DevOps 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 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. You will create AI-powered reporting dashboards, automated notification systems, and predictive analytics that give leadership real-time visibility into software health across the entire organization. Your work will directly close quality gaps and elevate the security, reliability, and performance of software systems supporting space missions.

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 DevSecOps 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


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