Type of Requisition:
RegularClearance Level Must Currently Possess:
NoneClearance Level Must Be Able to Obtain:
NonePublic Trust/Other Required:
NoneJob Family:
Software EngineeringJob Qualifications:
Skills:
Back-End Development, Code Reviews, DesignCertifications:
NoneExperience:
3 + years of related experienceUS Citizenship Required:
YesJob Description:
About the Role
We build and operate the services that process high-volume application data at scale. The work is consequential: the validation, calculation, and data-handling logic our team owns directly affects the people who depend on getting the right outcome. Accuracy, correctness, and maintainability are not nice-to-haves… they're the job.
As a mid-level Backend Engineer you'll own features end to end: from clarifying requirements, through design and implementation, to testing, deployment, and production support. We're language-agnostic. Solid experience in any major language (or across a spectrum of them) matters far more than a specific one. You'll be trusted to make sound engineering decisions and explain the reasoning behind them.
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What You'll Do
Design, build, and maintain backend services and APIs that process and validate application data.
Implement business rules ("edits") and calculations correctly, with meaningful test coverage, where our standard is 90%+ line and branch coverage.
Write clean, readable, maintainable code that the next engineer can extend without fear.
Collaborate with product, QA, and other engineers to turn ambiguous requirements into well-scoped, shippable work.
Participate in code reviews – giving and receiving thoughtful, specific feedback.
Contribute to operational health: logging, metrics, configuration management, and diagnosing production issues.
Make and document design trade-offs (rule representation, error handling, extensibility, performance) and defend them in review.
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What We're Looking For
Required
3–7 years of professional backend software engineering experience.
Solid experience in any major programming language – Java, JavaScript/TypeScript, Python, Go, C#, or similar – or across a spectrum of them. We care about breadth of exposure and depth of understanding, not a specific language on your résumé.
Ability to read and review logic critically. AI is a leveler on syntax and boilerplate; what sets engineers apart now is judgment – spotting flawed logic, reasoning about correctness, and reviewing code (yours and others') with a critical eye.
Solid grasp of designing and consuming HTTP/REST APIs.
Demonstrated commitment to testing – you write tests as part of building, not after. Familiarity with TDD is a plus.
Comfort with relational databases and data modeling.
Experience with version control (Git) and collaborative workflows (branching, PRs/MRs, code review).
Ability to make pragmatic design decisions and clearly explain the why.
Clear written and verbal communication.
Nice to Have
Experience in regulated, high-accuracy, or high-volume data domains (financial, government, healthcare).
Familiarity with rules engines, validation frameworks, or configuration-driven business logic.
Exposure to distributed systems concepts (async processing, throughput/latency trade-offs, CAP).
CI/CD, containerization, and cloud deployment experience.
Comfort using modern AI development tools (Claude, Copilot, ChatGPT) as part of a professional workflow.
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How We Work
We encourage AI tooling. Modern engineers use it; we care about your engineering judgment and your ability to explain and extend what you ship – not whether a tool helped you write it.
Testing is a first-class deliverable, not an afterthought.
Decisions are documented. We value engineers who can justify trade-offs, not just produce code.
Code review is a conversation, aimed at quality and shared understanding.
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What Success Looks Like (First 6 Months)
Independently delivering well-tested features with minimal rework.
Making sound design decisions and clearly documenting the trade-offs.
Extending existing services cleanly and confidently.
Contributing constructively in code review.
Diagnosing and resolving production issues with growing autonomy.
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Interview Process
Our hiring process is designed to respect your time while giving us a clear, fair read on your engineering ability. It includes a prescreen, a behavioral interview, a short (max 2-hour) take-home assignment, and a 90-minute technical interview where you'll walk us through your solution and extend it live.
Scheduled Weekly Hours:
40Travel Required:
10-25%Telecommuting Options:
RemoteWork Location:
Any Location / RemoteAdditional 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. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. 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.About Our Work:
We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.Join our Talent Community to stay up to date on our career opportunities and events atgdit.com/tc.
Equal Opportunity Employer / Individuals with Disabilities / Protected VeteransSkills Required
- 3-7 years of professional backend software engineering experience
- Professional experience with a major programming language such as Java, JavaScript or TypeScript, Python, Go, C#, or similar
- Ability to critically review code and reason about logic and correctness
- Experience designing and consuming HTTP/REST APIs
- Demonstrated commitment to testing as part of software development
- Familiarity with test-driven development
- Comfort with relational databases and data modeling
- Experience with Git and collaborative branching, pull request or merge request, and code review workflows
- Ability to make pragmatic design decisions and clearly explain the rationale
- Clear written and verbal communication
- Experience in regulated, high-accuracy, or high-volume data domains
- Familiarity with rules engines, validation frameworks, or configuration-driven business logic
- Exposure to distributed systems concepts, including asynchronous processing, throughput and latency trade-offs, and CAP
- Experience with CI/CD, containerization, and cloud deployment
- Comfort using modern AI development tools such as Claude, GitHub Copilot, or ChatGPT
- U.S. citizenship
General Dynamics Information Technology Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about General Dynamics Information Technology and has not been reviewed or approved by General Dynamics Information Technology.
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Affordable Benefits — Pay and benefits are described as good or okay in multiple places, and the overall package is often portrayed as acceptable even when base pay is not viewed as top-tier.
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Healthcare Strength — Medical, dental, and vision plan options are presented as comprehensive, with additional protections like disability and life insurance contributing to a well-rounded health and protection offering.
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Retirement Support — A 401(k) plan with company match is consistently highlighted as part of the total rewards package, supporting longer-term financial planning.
General Dynamics Information Technology Insights
What We Do
We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done.
