Senior Dev Sec Ops/AI Ops Engineer

The Aerospace Corporation•El Segundo, CA

1d•Onsite

About The Position

The Aerospace Corporation is seeking a Senior DevSecOps/AI Ops Engineer to build and manage the next generation of AI-enabled web and mobile agentic applications. The role works with a small team of software developers and cloud engineers to advance agentic operations supporting AI-native web and mobile solutions. The engineer applies knowledge of the agentic software development lifecycle and cloud infrastructure automation, collaborating with software developers, security engineers, business analysts, stakeholders, and management to deliver reliable, secure, resilient software releases and operations. The position is full-time and on-site at the company’s facility in El Segundo, California. The role designs and operates continuous integration, delivery, deployment, and testing pipelines; incorporates security controls into deployment workflows; and designs and maintains scalable multi-cloud DevSecOps platforms. It includes provisioning cloud and on-premises infrastructure as code, building observability pipelines, monitoring systems, managing AI-native applications with Docker and Kubernetes, and responding to production incidents. The engineer also improves automation and CI/CD tooling, applies standard security practices within DevOps workflows, and mentors junior engineers. The minimum qualifications are set out for Solutions Staff III, with additional experience and Agile/test automation expectations described for Solutions Developer Staff IV. The role requires the ability to obtain and maintain a U.S. government secret security clearance, which requires U.S. citizenship.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field.
For Solutions Staff III: 5–8 years of experience in DevOps, SRE, or Platform Engineering, including at least 2 years focused on AI/ML infrastructure or AIOps.
For Solutions Developer Staff IV: 8–10 years of experience in DevOps, SRE, or Platform Engineering, including at least 2 years focused on AI/ML infrastructure or AIOps.
Production experience with at least two major cloud providers: AWS, Azure, or GCP.
Strong proficiency with Infrastructure-as-Code tools such as Terraform, Pulumi, or CloudFormation.
Production experience managing Kubernetes, including scaling, networking, and workload scheduling.
Proficiency in at least one scripting or systems language, such as Python or Go, for automation and tooling development.
Familiarity with AI-enabled application development, including RAG, MCP, agents, LLMs, and AI Gateway architectures.
Experience building and maintaining CI/CD pipelines using Jenkins, ArgoCD, or similar tools.
Experience with observability stacks such as Prometheus, Grafana, ELK, or equivalent.
Experience with APIs and web services, including REST and SOAP.
Proficiency with Jira, Git, and AI-enabled IDEs such as Claude Code, Codex, or OpenCode.
Excellent troubleshooting skills and a proactive approach to identifying and resolving system issues.
Ability to quickly learn and adapt to new technologies and tools.
Commitment to continuous learning and knowledge-sharing with peers.
Ability to obtain and maintain a secret security clearance; U.S. citizenship is required to obtain clearance.
For Solutions Developer Staff IV: working knowledge of Agile development practices and test automation.

Nice To Haves

Master’s degree in computer science or a related field.
Continuous improvement mindset and a drive to find better ways to design, build, and deliver solutions.
Experience implementing SLOs/SLIs, error budgets, and chaos engineering practices.
Hands-on experience with agentic workflow design and implementation.
Experience deploying AI-enabled applications using RAG, MCP, agents, LLMs, and AI Gateway architecture.
Strong foundation in software architecture and design patterns.
Experience deploying and scaling large language models, including quantization, batching, prompt caching, token optimization, and vector database integration.
Familiarity with SQL, NoSQL, vector databases, and graph databases.
Experience with workflow automation engines such as Camunda.
Relevant industry certifications, such as cloud, Kubernetes, or security credentials.

Responsibilities

Design, build, and maintain continuous integration and continuous delivery/deployment/testing (CI/CD/CT) pipelines and workflows.
Integrate security controls into deployment pipelines.
Design, deploy, and maintain a scalable multi-cloud DevSecOps platform.
Provision and manage cloud and on-premises infrastructure using code templates.
Build centralized logging, tracing, and metrics pipelines.
Track system performance, logs, and uptime to identify and resolve issues.
Manage and scale AI-native applications using Docker and Kubernetes.
Perform root cause analysis for production incidents and provide tier-2 or tier-3 support.
Implement automation to reduce mean time to recovery, enable self-healing, and improve system resilience.
Build and improve CI/CD tooling, including Jenkins, GitHub Actions, GitLab CI, and ArgoCD, to accelerate deployment velocity.
Apply standard security best practices, including secrets management, least-privilege IAM, and dependency scanning, within DevOps workflows.
Guide and mentor junior engineers.

Benefits

Comprehensive health care and wellness plans.
Paid holidays, sick time, and vacation.
Standard and alternate work schedules, including telework options.
401(k) plan with company-paid contributions of 8%, 10%, or 12% of eligible compensation based on years of service, plus matching contributions; employees are immediately eligible and vested upon hire.
Flexible spending accounts.
Variable pay program for exceptional contributions.
Relocation assistance.
Professional growth and development programs.
Education assistance programs.
Inclusive work environment built on teamwork, flexibility, and respect.