Type of Requisition:
Regular

Clearance Level Must Currently Possess:
None

Clearance Level Must Be Able to Obtain:
None

Public Trust/Other Required:
MBI (T2)

Job Family:
Software Engineering

Job Qualifications:

Skills:
AI Adoption, AWS Cloud Computing, Full Stack Development, Java (Programming Language)
Certifications:
None
Experience:
10 + years of related experience
US Citizenship Required:
No

Job Description:

SOFTWARE DEVELOPMENT TECHNICAL LEAD

HOW A SOFTWARE DEVELOPMENT TECHNICAL LEAD WILL MAKE AN IMPACT

Responsibilities:

• AI SDLC: Lead optimizing AI-enabled SDLC practices within your team and across other development cross functional teams, leveraging AI-assisted coding, code review, testing, documentation, and requirements refinement to drive measurable improvements in team productivity, quality, and delivery speed by coordinating with other leads.
• Microservices Architecture Development: Design, develop, and maintain scalable microservices architecture to support our client enterprise software applications and services. Implement best practices for microservices development, including service isolation, fault tolerance, and API design
• SecDevOps Implementation: Lead the implementation of SecDevOps practices to integrate security throughout the software development lifecycle. Automate deployment pipeline, infrastructure provisioning and security testing processes using tools like Jenkins, Terraform, and SonarQube
• AWS Cloud Management: Design, deploy, and manage AWS cloud environment to support the applications and services. Optimize cloud infrastructure for performance, scalability, and cost efficiency, leveraging services such as EC2, S3, Lambda, and RDS.
• Technical Leadership: Provide technical leadership andguidance to development teams, ensuring adherence to best practices and standards. Mentor junior developers, conduct review, and facilitate knowledge sharing sessions to promote continuous learning and improvement
• System Integration Interoperability: Collatover with cross-functional teams to integrate microservices with existing systems and third part APIs. Ensure interoperability and compatibility between different components and services within the business eco-system
• Security and Compliance: Work with security team to implement security controls and measures to protect sensitive data and ensure compliance with industry regulations and standards. Support regular security assessments and audits as needed to identify and address potential vulnerabilities and risks

WHAT YOU'LL NEED TO SUCCEED:

Required:

• Bachelor's degree in Computer Science, Engineering, or related field experiences; Master's degree preferred
• Proven track record of experiencing AI enabled SDLC
• Proven track record of devising and executing comprehensive technology roadmaps to drive innovation and competitive advantage
• Strong leadership skills with a track record of building and nurturing high performing technology teams, fostering a culture of collaboration, accountability, and continuous improvements
• Ability to lead/support organizational change initiatives by implementing new technologies, processes, and methodologies and driving adoption through effective communication and stakeholder engagement
• 10+ years of hands-on experience in full stack software development leveraging Java J2EE, Spring/Spring Boot Java frameworks, with a focus on API microservices architecture
• Proven expertise in implementing SecDevOps practices and tools like Docker, Apache Maven, JBoss Enterprise Application Platform
• Hands on experience with AWS cloud services and infrastructure management
• Strong programming skills in languages such as Java
• Experience with containerization technologies such as Docker and orchestration tools like Kubernetes
• Experience with CI/CD pipelines, version controls, and automated testing frameworks
• Excellent communication skills and ability to collaborate effectively with cross-functional teams

Desired Certifications:

• AWS Certified Generative AI Professional, AWS Certified Solutions Architect-professional, Certified Service Oriented Architecture (SOA) Architect

• Timeline: This role is expected to continue by the end of 2027.

Please note: Visa Sponsorship will not be provided for this position.

GDIT IS YOUR PLACE:
• 401K with company match
• Comprehensive health and wellness packages
• Internal mobility team dedicated to helping you own your career
• Professional growth opportunities including paid education and certifications
• Cutting-edge technology you can learn from
• Rest and recharge with paid vacation and holidays

The likely salary range for this position is $170,000 - $230,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:
40

Travel Required:
Less than 10%

Telecommuting Options:
Remote

Work Location:
USA VA Falls Church

Additional Work Locations:

Total Rewards at GDIT:
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identity Verification Process:
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.