DevOps Engineer II/ Senior

Rocket Lab
Las Cruces, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 170K

Job location

Las Cruces, United States of America

Tech stack

Artificial Intelligence
Data analysis
Code Coverage
Software Quality
Code Review
Continuous Integration
DevOps
Monitoring of Systems
Python
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

Job description

As a DevOps 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 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

Requirements

  • 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.

Benefits & conditions

Level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.

Base salary is just one component of our total rewards package at Rocket Lab. Employees may also receive company equity and access to a robust benefits package including: top tier medical HMO, PPO & a 100% company-sponsored medical HSA plan option, dental and vision coverage, 3 weeks paid vacation and 5 days sick leave per year, 11 paid holidays per year, flexible spending and dependent care savings accounts, paid parental leave, disability insurance, life insurance, and access to a 401(k) retirement plan with company match. Other perks include: Discounted employee stock purchase program, subsidized EV charging stations, onsite gym, food and drinks, and other discounts.

Eligibility for benefits may vary based on employment status, please check with your recruiter for a comprehensive list of the benefits available for this role. Benefit programs are subject to change at the company's discretion.

Base Pay Range (CA Only)

$125,000-$170,000 USD

About the company

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. Our Electron rocket has become the second most frequently launched U.S. rocket annually and has delivered more than 230 satellites to orbit, all while we work to develop Neutron, our upcoming medium-lift, reusable launch vehicle for larger constellation deployment. Our Space Systems business designs and builds our extensive line of satellites, payloads, and their components, including spacecraft that have been selected to support NASA missions to the Moon and Mars and components used on the James Webb Space Telescope., At Rocket Lab, we're not just launching rockets - we're 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, 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. Whether it's a single high-performance spacecraft, constellation, or the vertically integrated components that help them get to space - our world class Space Systems team is empowering some of the boldest and most ambitious space missions.

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