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LM

Lockheed Martin

via Ladders

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Cyber Software Engineer Technical Lead

Anywhere
Full-time
Posted 2/25/2026
Verified Source
Key Skills:
C#
Azure DevOps
Docker
Kubernetes
Angular
React
Python

Compensation

Salary Range

$120K - 160K a year

Responsibilities

Lead secure software development and automation for mission-critical defense systems with focus on DevSecOps and compliance.

Requirements

Requires DoD security certification, leadership in secure software development, IaC and CI/CD expertise, and ability to obtain security clearance.

Full Description

About the position At Lockheed Martin, we are pushing the boundaries of innovation to solve some of the world’s most complex challenges. In our Rotary and Mission Systems (RMS) division, we are focused on advancing security and resilience for critical defense systems, with a particular emphasis on F-35 Training & Logistics. Our team is dedicated to applying cutting-edge cybersecurity solutions that safeguard the integrity of systems throughout their lifecycle. We are passionate about ensuring that these systems remain resilient to evolving cyber threats, supporting both the F-35 and other essential training and logistics operations. The Work As a Cyber Software Engineer Lead , you will drive secure, automated delivery of mission‑critical software for PTD and TIPS systems. You will embed Infrastructure as Code (IaC), CI/CD pipelines, and rigorous threat‑modeling practices into every stage of the development lifecycle, ensuring continuous monitoring, rapid remediation, and full compliance with DoD RMF, NIST guidelines, and STIG/SRG hardening standards. Lockheed Martin’s Rotary and Mission Systems (RMS) division is home to some of the brightest minds in the cybersecurity field. Our team is driven by innovation and a commitment to excellence, focused on ensuring the safety and success of our customers’ most complex missions. We thrive in a collaborative environment where cutting-edge technology is used to solve real-world challenges. At Lockheed Martin, we place high value on the skills, education, and training that each employee brings to the table, empowering everyone to make meaningful contributions. Join a mission-driven team safeguarding the systems that prepare F-35 pilots for success. You’ll work at the cutting edge of cybersecurity and automation, in an environment that values learning, collaboration, and technical excellence. Your contributions will have real-world impact — protecting critical defense training capabilities and shaping the future of secure DevOps within aerospace and defense. Responsibilities • Work closely with engineering program managers (EPM), software engineers, cybersecurity development leads and architects to translate mission needs into technical solutions. • Design, develop, and sustain cyber focused software solutions that satisfy mission critical requirements. • Lead engineering teams through the full software lifecycle—requirements, architecture, implementation, testing, deployment, and continuous improvement. • Implement version controlled Infrastructure as Code (IaC) and GitOps practices (Ansible, Packer, Terraform, Helm, Argo CD) to ensure reproducible environments. • Build and maintain CI/CD pipelines (GitLab, GitHub Workflows) leveraging containerization (Docker) and automated testing frameworks. • Apply secure development practices—static/dynamic analysis, dependency scanning, and STIG/SRG hardening—for C, C++, Java, and Python codebases. • Design AI enhanced solutions that automate RMF steps, enable continuous monitoring, and deliver explainable risk metrics compliant with NIST AI RMF and DoD model governance standards. • Conduct threat modeling (STRIDE/ATT&CK), vulnerability assessments, risk scoring, and develop mitigation strategies aligned with RMF controls. • Produce Software Assurance Evaluation Reports (SAERs), generate Basis of Estimates (BoE) for proposals, and author technical whitepapers. • Evaluate emerging AI/ML techniques (NLP, computer vision, generative AI, predictive modeling) for applicability to mission requirements. • Mentor junior engineers and champion best practices in DevSecOps, code quality, and performance optimization. Requirements • Bachelor’s degree in Computer Science, Software Engineering, or a related STEM field (or equivalent professional experience). • Hold a DoD 8570/8140 approved IAT II certification, minimum: CompTIA Security+ (or an equivalent credential such as CEH, CISSP, etc.) • Demonstrated experience leading engineering teams or projects, preferably in an Agile/Scrum environment. • IaC / GitOps : Hands on experience with tools such as Ansible, Packer, Terraform, Helm, or Argo CD (or comparable platforms). • DevOps Stack : Proficient with containerization/orchestration tools (e.g. Docker, Podman, or Kubernetes), source control platforms (GitLab), CI/CD pipeline design, and automated testing frameworks (e.g. pytest, JUnit, Selenium, etc.). • Programming : Strong development and automation skills in interpreted languages and shell scripting (e.g., Python, Bash, PowerShell). • Secure Development : Hands on experience integrating secure software practices (e.g. static (SAST) and dynamic (DAST) analysis) into codebases (e.g. C++, Java, Python, etc.). • Ability to obtain and maintain a DoD Secret security clearance (or higher) within 6 months of hire. Nice-to-haves • RMF Framework - Experience utilizing Joint Special Access Program (SAP) Implementation Guide (JSIG), Committee on National Security Systems Instruction (CNSSI) 1253, and NIST SP 800-37 Risk Management Framework (RMF) to design and harden information systems. • Threat Modeling & Vulnerability Analysis – Experience building STRIDE/ATT&CK based threat models, conducting automated scans (Nessus, Qualys), and delivering mitigation recommendations. • Secured Architecture – Proven track record architecting and implementing hardened, zero trust environments. • Mission Specific Cyber Solutions – Experience developing bespoke cyber software tools aligned with specific defense or intelligence missions. • Artificial Intelligence (AI) / Machine Learning (ML) – Experience designing end to end ML pipelines, deploying models (supervised, unsupervised, reinforcement), and ensuring inference time security. Proficient with XAI techniques (SHAP, LIME, counterfactuals) and handling cybersecurity specific data (logs, network flow, vulnerability feeds). • Proposal & Documentation Skills – Ability to write accurate Basis of Estimates (BOE), craft technical whitepapers, and produce clear, concise documentation for customers and internal stakeholders. Benefits • Medical • Dental • Vision • Life Insurance • Short-Term Disability • Long-Term Disability • 401(k) match • Flexible Spending Accounts • EAP • Education Assistance • Parental Leave • Paid time off • Holidays

This job posting was last updated on 3/3/2026

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