Leidos is seeking a Lead Dev SecOPS:

Soft ware Developer to join the Air 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 Dev Sec Ops 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 Gaithersburg, MD. 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. You’ll work on software that directly supports national air traffic operations, applying AI tools to accelerate development, improve quality, and enhance system reliability.

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 Dev Sec Ops 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 Dev Sec Ops 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 not experimental AI for prototypes. 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.

ATMC

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

Original Posting:

April 15, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $87,100.00 - $157,450.00

The Leidos pay range for this job level is a general guideline only and 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.