Monitor team performance; resolve impediments; develop and implement solutions for driving improvement.
Lead application architecture, technical design, development, code reviews, integration testing, deployment, and production support across the SDLC
Lead Program Increment (PI) Planning from technical aspect. Grooming the objectives and providing technical details, work on architecture.
Lead cross-team collaboration in support of development, testing, and deployment efforts
Brief customers on the development progress throughout the PI cycle on program status, including the status of testing, deployment, and release readiness
Maintain application posture for code coverage and ensure the CM process defined is working for the team.
Build the front-end of applications through appealing visual design and define needs for build APIs.
Provide technical leadership to cross-functional development teams, establish coding standards, conduct design/code reviews, and drive engineering best practices.
Identify and encourage areas for growth and improvement within the team.
Collaborate with government customers on requirements development.
Lead technical discussions with architects, product owners, developers and business stakeholders translating into scalable technical solutions.
Basic Qualifications
BA/BS and 12+ years of prior relevant experience or Masters with 10+ years of prior relevant experience OR 4 years of directly related experience in lieu of degree
Minimum of 5 years of Tech lead experience
Technical Lead with experience designing and delivering scalable Java Full stack applications using Java, Spring Boot, Rest APIs, microservices, and modern front-end technologies.
Experience working with AI/ML as an integral part of executing the software lifecycle and/or implementing AI/ML solutions to support mission
Must have experience in evaluating emerging AI technologies and development tools and identifying opportunities to improve application productivity, automation and operational efficiency.
8 years of hands-on experience using at least 6 the following, but not limited to:
o React, Angular, JavaScript, CSS, & HTML, Springboot, Material UI, JAVA etc.
o AWS Cloud, Amazon Elastic Kubernete Service (EKS), Ansible, GIT, Rafay
o RESTful Web Services, Hibernate, Oracle/ MySQL/Postgres, microservices, Springboot, Java.
Must have experience in building and maintaining CI/CD pipelines using Jenkins, GitHub Actions, Git, Docker, Kubernetes, and automations tools.
Must be able to maintain and obtain a CBP Background Investigation prior to start
Experience with wireframe software to formulate effective mockups.
Must be a self-starter, strong leader, and can work independently with little supervision.
Knowledge of software design patterns.
Proficiency with common Agile practices, service-oriented environments, and better development practices.
Experience with Jira, Confluence.
Preferred Qualifications
Hands on experience with Gemini Enterprise AI Platform
Experience integrating Google cloud/AWS AI services and APIs with enterprise applications.
Active DOD Top Secret or DHS CBP BI
Solid experience as a full stack Java developer.
AWS, Microservices, User experience , containerization, CI/CD
Experience in AWS App Development
Hands on data reporting, through web/html or Power BI platforms
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
October 14, 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 $131,300.00 - $237,350.00
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.
