Lead DevSecOps Software Developer

Lead DevSecOps Software Developer – Leidos is seeking a Lead DevSecOps Software Developer to join the Air Traffic Business Area within the Homeland Sector, supporting the development of the Leidos Common Baseline, a mission‑critical, future‑ready automation solution built on a hybrid cloud data mesh architecture. As a member of a Scaled Agile software development organization, you will contribute to the technical execution of a program that integrates proven, globally deployed technologies with modern cloud‑native and AI‑enabled capabilities. You will work alongside cross‑functional teams and technical leaders to deliver predictable outcomes in a highly regulated, safety‑critical environment. This role focuses on building and modernizing real‑time, safety‑critical systems using a combination of traditional systems engineering and AI‑augmented software development practices. You’ll work on software that directly supports national air traffic operations, applying AI tools to accelerate development, improve quality, and enhance system reliability. — Location: Gaithersburg, MD – This is a hybrid position requiring 3 days onsite and 2 days working from home. – This position supports government programs and requires the ability to obtain and maintain a favorable Public Trust investigation. What You’ll Do Design, build, and maintain a Common Automation Platform supporting CI/CD, security, and infrastructure automation. Develop reusable automation frameworks, templates, and pipelines for enterprise‑wide adoption. Integrate platform capabilities with internal and external systems via APIs, microservices, and event‑driven architectures. Embed security controls and DevSecOps best practices into platform services and workflows. Implement infrastructure‑as‑code (IaC) to provision and manage scalable environments. Enable self‑service capabilities for development teams through automation and platform tooling. Implement automated security testing including SAST, DAST, container, and dependency scanning. Support containerized workloads using Docker and Kubernetes. Apply AI/ML capabilities to enhance automation (e.g., intelligent pipeline optimization, anomaly detection, auto‑remediation). Collaborate with engineering, security, and operations teams to drive platform adoption and standardization. Monitor platform performance, reliability, and usage metrics, and continuously improve capabilities. Ensure compliance with federal security standards and organizational policies. Core Technical Qualifications Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience). 4+ years of relevant experience or a Master’s Degree and 2+ years. Experience building or supporting shared platforms, developer platforms, or automation frameworks. Experience with CI/CD tools such as Jenkins, GitLab CI, or GitHub Actions. Experience with cloud platforms such as AWS. Proficiency in scripting or programming languages such as Python or Bash. Experience with containerization (Docker) and orchestration (Kubernetes). Experience with security tools and practices including vulnerability scanning, secrets management, and identity/access management. Experience with IaC tools such as Terraform. Familiarity with infrastructure‑as‑code and configuration management tools. Strong problem‑solving skills and ability to work in a collaborative team environment. Ability to obtain and maintain a Public Trust. U.S. citizenship required. Must be able to successfully complete future background investigations as required by the government customer. Preferred / Desired Qualifications Experience designing or implementing internal developer platforms (IDP) or platform engineering concepts. Experience applying AI/ML or intelligent automation within DevSecOps pipelines. Familiarity with MLOps concepts and frameworks. Knowledge of federal security frameworks such as NIST RMF, NIST 800‑53, or CIS benchmarks. Experience developing and integrating RESTful APIs and distributed systems. Experience with observability and monitoring tools (e.g., Prometheus, Grafana, ELK stack). Experience with serverless and event‑driven architectures. Relevant certifications (e.g., AWS Certified DevOps Engineer, Certified Kubernetes Administrator, Security+). Why Leidos? You’ll work on systems where performance, precision, and reliability matter—every second. This is disciplined, responsible AI applied to mission‑critical software that supports national infrastructure. If you’re excited by solving complex problems in regulated, real‑world environments and using AI as a force multiplier rather than a shortcut, we’d like to talk. Pay and Benefits Pay Range: $87,100 – $157,450. Additional benefits include competitive compensation, health and wellness programs, income protection, paid leave and retirement options. Commitment to Non‑Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #J-18808-Ljbffr Via Logic LLC