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KBR

Test Automation and DevOps Engineer

KBR, El Segundo, California, United States, 90245

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Title

Test Automation and DevOps Engineer

Belong. Connect. Grow. with KBR!

KBRs National Security Solutions team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the countrys most critical role protecting our national security.

KBR is seeking a Test Automation & DevOps Engineer to join our team onsite in El Segundo, CA, Colorado Springs, CO or remote.

KBR (formerly LinQuest) is the prime contractor on the MSEIT contract. By applying to this position, you are in consideration for KBR employment. However, you also have the option to be hired by one of our subcontractor teammates.

The MILSATCOM Systems Engineering, Integration, and Test (MSEIT) effort provides leading edge Systems Engineering & Integration (SE&I) for the US Space Forces Space Systems Center (SSC). We support the Space Forces acquisition of state-of-the-art satellite communications systems, providing global secure, survivable, and protected communications for our nations warfighters. We seek technical individuals who will thrive in a highly collaborative work environment of small teams, using the most modern tools and methodologies to tackle the challenges of integrating complex space and ground communications systems.

Why Join Us?

Innovative Projects: KBRs work is at the forefront of engineering, logistics, operations, science, program management, mission IT and cybersecurity solutions. Collaborative Environment: Be part of a dynamic team that thrives on collaboration and innovation, fostering a supportive and intellectually stimulating workplace. Impactful Work: Your contributions will be pivotal in designing and optimizing defense systems that ensure national security and shape the future of space defense.

Key Responsibilities

Develop Complex Frontend Applications: Design and implement responsive, accessible, and scalable web applications using React, TypeScript, HTML5, CSS/SASS, and modern JS libraries. Integrate and Visualize Real-Time Data: Build real-time, interactive data visualizations using D3.js and integrate frontend components with RESTful and GraphQL APIs. Ensure Frontend Performance and Security: Optimize application performance and apply secure coding practices, particularly for regulated or government environments. Automate Testing and Deployment: Implement and maintain automated tests (e.g., Jest, Cypress) and contribute to CI/CD pipelines for reliable frontend builds and releases. Collaborate Across Disciplines: Work closely with backend, DevOps, and AI/ML teams to ensure seamless integration of frontend interfaces with overall application architecture.

Work Environment

Location:

On-site or remote

Travel Requirements:

Minimal

Working Hours:

Standard

Qualifications

Required:

Ability to obtain and maintain a Secret security clearance Masters degree in Computer Science, Software Engineering, Machine Learning, or a related technical field 15+ years combined experience in test automation, DevOps, or MLOps roles Strong proficiency with Playwright, pytest, and Postman for automated functional, integration, and regression testing Proven experience designing test plans, developing automated test suites, and validating workflows for document ingestion, LLM responses, and UI interactions Expertise with Kubernetes for deploying and scaling ML workloads Proficiency with Terraform for infrastructure-as-code in secure and regulated environments Hands-on experience with GitLab CI/CD or similar platforms for end-to-end automation of ingestion, testing, and model deployment workflows Experience implementing observability and monitoring solutions to track uptime, latency, and model health Strong understanding of system stability verification, non-regression testing, and performance monitoring Excellent problem-solving skills, with the ability to collaborate across engineering, QA, and ML research teams

Desired

Familiarity with GPU scheduling and optimization in Kubernetes clusters Experience with API contract testing, schema validation, and accessibility/usability testing Knowledge of hybrid and edge deployment strategies for ML systems Certifications in Kubernetes administration, cloud security, software testing, or MLOps best practices Experience with model performance monitoring, drift detection, and automated retraining pipelines Familiarity with IL5/IL6 security compliance and DoD data-handling requirements

Basic Compensation:

$134,000 - $190,000 in California and $122,000-$173,000 in Colorado

The offered rate will be based on the selected candidates knowledge, skills, abilities and/or experience and in consideration of internal parity.

Ready to Make a Difference?

If youre excited about making a significant impact in the field of space defense and working on projects that matter, we encourage you to apply and join our team.

KBR Benefits

KBR offers a selection of competitive lifestyle benefits which could include 401K plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability, paid time off, or flexible work schedule. We support career advancement through professional training and development.

Belong, Connect and Grow at KBR

At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of teams philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver Together.

KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

R2111354

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Seniority level

Mid-Senior level Employment type

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