Basic Qualifications

Bachelor's degree in Software Engineering, or related Science, Technology, Engineering or Mathematics field, plus a minimum of 8 years of relevant experience; or Master's degree, plus 6 years relevant experience.

Due to the nature of work performed within our facilities, U.S. citizenship is required.

Responsibilities for this Position

ROLE AND POSITION OBJECTIVES:

DevSecOps Engineer — AIOps Team

As a DevSecOps Engineer on our AIOps team, you'll be a core member of a high-performing, cross-functional team responsible for modernizing critical enterprise systems through secure-by-design automation, AI-powered infrastructure, agentic AI workflows, and hardened deployment pipelines. You won't just write scripts — you'll engineer complete, security-integrated automation solutions from the ground up, embedding security controls into AI agents, Model Context Protocol (MCP) servers, and intelligent tooling across every layer of the stack.

We encourage you to apply if you have any of these preferred skills or experiences:

• Proven experience building end-to-end automation solutions using GitLab CI, AKS (Azure Kubernetes Service), Terraform (with AzureRM provider), and Ansible — full lifecycle design and implementation with security controls built in from the start, not bolted on.
• Hands-on expertise deploying and managing containerized workloads on AKS and automating Azure infrastructure provisioning with Terraform and Ansible in an AIOps environment, with a focus on Azure Policy enforcement, RBAC, and hardened cluster configurations.
• Experience building and owning CI/CD pipelines end-to-end — integrating SAST, DAST, dependency scanning, and AI-powered tooling to automate secure testing,deployment, and operational workflows via GitLab CI targeting Azure environments.
• Experience designing, deploying, and securing MCP (Model Context Protocol) servers on Azure — leveraging Azure App Service, Container Apps, or AKS — that expose tools, data sources, and APIs as context for AI agents and LLM-powered workflows, with attention to access boundaries and least-privilege exposure.
• Hands-on familiarity with OAuth 2.0 / OpenID Connect authentication flows within MCP servers using Microsoft Entra ID (Azure AD), including token lifecycle management, scoped permissions, and secure delegation of access to downstream Azure services.
• Experience building or integrating AI agent skills — defining tool-use capabilities, orchestrating multi-step agentic workflows, and enabling agents to autonomously interact with Azure infrastructure, GitLab CI pipelines, and operational systems within defined security guardrails.
• Experience working with or deploying AI/ML models, LLM-based assistants, and agentic frameworks (e.g., Claude Agent SDK, A2A, ACP, or similar) in production or operational environments on Azure, with awareness of model trust boundaries and output validation.
• Understanding of prompt engineering, retrieval-augmented generation (RAG), and how to ground AI agents with real-time enterprise context via MCP or similar protocols — including risks like prompt injection and data leakage, and mitigation patterns applicable to Azure-hosted deployments.

What sets you apart:

• Creative thinker with demonstrated success leading the software development life cycle
• Expertise in applying technical standards and methodologies to solve challenges
• Exceptional communication skills with the capacity to secure buy-in on concepts and ideas
• Collaborative team player eager to provide technical leadership and position others for success
• Commitment to ongoing professional development for yourself and others
• Identifies opportunities to apply AI for continuous improvement and innovation

Our Commitment to You:

• An exciting career path with opportunities for continuous learning and development.
• Research oriented work, alongside award winning teams developing practical solutions for our nation’s security
• Flexible schedules with every other Friday off work, if desired (9/80 schedule)
• Competitive benefits, including 401k matching, flex time off, paid parental leave, healthcare benefits, health & wellness programs, employee resource and social groups, and more
• See more at gdmissionsystems.com/careers/why-work-for-us/benefits

Workplace Options:This position is remote/telework OR Hybrid/Flex as desired.

Salary Note

This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled.

Combined Salary Range

USD $142,696.00 - USD $158,303.00 /Yr.

Company Overview

General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team!

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Originally posted on Himalayas

Basic Qualifications

Bachelor's degree in Software Engineering, or related Science, Technology, Engineering or Mathematics field, plus a minimum of 8 years of relevant experience; or Master's degree, plus 6 years relevant experience.

Due to the nature of work performed within our facilities, U.S. citizenship is required.

Responsibilities for this Position

ROLE AND POSITION OBJECTIVES:

DevSecOps Engineer — AIOps Team

As a DevSecOps Engineer on our AIOps team, you'll be a core member of a high-performing, cross-functional team responsible for modernizing critical enterprise systems through secure-by-design automation, AI-powered infrastructure, agentic AI workflows, and hardened deployment pipelines. You won't just write scripts — you'll engineer complete, security-integrated automation solutions from the ground up, embedding security controls into AI agents, Model Context Protocol (MCP) servers, and intelligent tooling across every layer of the stack.

We encourage you to apply if you have any of these preferred skills or experiences:

• Proven experience building end-to-end automation solutions using GitLab CI, AKS (Azure Kubernetes Service), Terraform (with AzureRM provider), and Ansible — full lifecycle design and implementation with security controls built in from the start, not bolted on.
• Hands-on expertise deploying and managing containerized workloads on AKS and automating Azure infrastructure provisioning with Terraform and Ansible in an AIOps environment, with a focus on Azure Policy enforcement, RBAC, and hardened cluster configurations.
• Experience building and owning CI/CD pipelines end-to-end — integrating SAST, DAST, dependency scanning, and AI-powered tooling to automate secure testing,deployment, and operational workflows via GitLab CI targeting Azure environments.
• Experience designing, deploying, and securing MCP (Model Context Protocol) servers on Azure — leveraging Azure App Service, Container Apps, or AKS — that expose tools, data sources, and APIs as context for AI agents and LLM-powered workflows, with attention to access boundaries and least-privilege exposure.
• Hands-on familiarity with OAuth 2.0 / OpenID Connect authentication flows within MCP servers using Microsoft Entra ID (Azure AD), including token lifecycle management, scoped permissions, and secure delegation of access to downstream Azure services.
• Experience building or integrating AI agent skills — defining tool-use capabilities, orchestrating multi-step agentic workflows, and enabling agents to autonomously interact with Azure infrastructure, GitLab CI pipelines, and operational systems within defined security guardrails.
• Experience working with or deploying AI/ML models, LLM-based assistants, and agentic frameworks (e.g., Claude Agent SDK, A2A, ACP, or similar) in production or operational environments on Azure, with awareness of model trust boundaries and output validation.
• Understanding of prompt engineering, retrieval-augmented generation (RAG), and how to ground AI agents with real-time enterprise context via MCP or similar protocols — including risks like prompt injection and data leakage, and mitigation patterns applicable to Azure-hosted deployments.

What sets you apart:

• Creative thinker with demonstrated success leading the software development life cycle
• Expertise in applying technical standards and methodologies to solve challenges
• Exceptional communication skills with the capacity to secure buy-in on concepts and ideas
• Collaborative team player eager to provide technical leadership and position others for success
• Commitment to ongoing professional development for yourself and others
• Identifies opportunities to apply AI for continuous improvement and innovation

Our Commitment to You:

• An exciting career path with opportunities for continuous learning and development.
• Research oriented work, alongside award winning teams developing practical solutions for our nation’s security
• Flexible schedules with every other Friday off work, if desired (9/80 schedule)
• Competitive benefits, including 401k matching, flex time off, paid parental leave, healthcare benefits, health & wellness programs, employee resource and social groups, and more
• See more at gdmissionsystems.com/careers/why-work-for-us/benefits

Workplace Options:This position is remote/telework OR Hybrid/Flex as desired.

Salary Note

This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled.

Combined Salary Range

USD $142,696.00 - USD $158,303.00 /Yr.

Company Overview

General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team!

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Originally posted on Himalayas