Lead DevSecOps Software Developer

Leidos is seeking a Lead DevSecOPSSoftware Developerto join theAir Traffic Business Area within the Homeland Sector supporting the development of the Leidos Common Baseline. Common Baseline is 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.

In this position you will focus on building and integrating shared services pipelines and tooling that standardize DevSecOps practices enterprise-wide. The selected candidate will combine strong integration skills with an emerging focus on AI-enabled automation to drive efficiency consistency and security across mission systems. This position supports government programs and requires the ability to obtain and maintain a favorable Public Trust investigation

This position is located in either Gaithersburg MD or Egg Harbor Township NJ. This is an opportunity to contribute to projects that impact millions of air travelers.

This is a hybrid position requiring 3 days onsite and 2 days working from home.

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. Youll work on software that directly supports national air traffic operations applying AI tools to accelerate development improve quality and enhance system reliability.

What Youll 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:

• Bachelors degree in Computer Science Engineering or a related technical field (or equivalent experience)

• 4 years of relevant experience or a Masters 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

Youll work on systems where performance precision and reliability matter every second. This is not experimental AI for prototypes. This is disciplined responsible AI applied to mission-critical software that supports national infrastructure.

If youre excited by solving complex problems in regulated real-world environments and using AI as a force multiplier rather than a shortcut wed like to talk.

ATMC

If youre looking for comfort keep scrolling. At Leidos we outthink outbuild and outpace the status quo because the mission demands it. Were not hiring followers. Were recruiting the ones who disrupt provoke and refuse to fail. Step 10 is ancient history. Were already at step 30 and moving faster than anyone else dares.

Original Posting:

Pay Range:

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job education experience knowledge skills and abilities as well as internal equity alignment with market data applicable bargaining agreement (if any) or other law.