Full Stack Product Engineer Jobs in Virginia
Full Stack Product Engineer jobs in Virginia are in strong demand, concentrated in defense technology, federal IT services, and commercial SaaS, with openings at every level from junior engineer through principal and staff. The largest hiring metros are Northern Virginia, Richmond, and the Hampton Roads corridor, where companies like Leidos, Booz Allen Hamilton, and Capital One maintain deep engineering teams. The most sought-after specialties are cloud-native development, React and Node.js stacks, and platform engineering supporting government and enterprise clients. Find a role that fits below and apply directly.
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Redhorse Corporation's Cyber Analytics team is seeking a motivated Junior Cloud Software Engineer to contribute to the development, deployment, and enhancement of enterprise-scale, AI-enabled data processing and visualization systems. This position supports mission-critical federal customer environments operating across hybrid, on-premises, and multi-cloud (AWS/Azure) ecosystems.
In this role, you will work alongside senior engineers and architects across the software development lifecycle. Responsibilities include building robust backend microservices, integrating Artificial Intelligence (AI/ML) capabilities, and developing clean, intuitive Web User Interfaces (UIs) for analysts and end-users.
The engineer will also assist with technical research, security analysis, and software component assessments. Successful candidates will bring a strong foundation in computer science, an eagerness to learn modern cloud and AI technologies, and solid communication skills to collaborate within a multidisciplinary team.
Position Description
- Cloud Engineering & Development: Assist in developing, testing, deploying, and maintaining cloud-native microservices and applications primarily utilizing AWS and/or Azure (GovCloud/commercial).
- Data Processing & Backend Systems: Support the implementation of resilient data processing pipelines, event-driven components, and APIs designed to handle high-throughput cyber datasets.
- Full-Stack & Web UI Development: Develop, test, and maintain responsive Web User Interfaces (UIs), front-end components, and dashboards that enable intuitive data visualization, analytics, and operational workflows.
- AI & Machine Learning Integration: Assist in connecting AI/ML models, cognitive services, vector databases, and Large Language Model (LLM) APIs into core analytics workflows under the guidance of senior technical staff.
- Cyber & Vulnerability Support: Collaborate with technical teams to assess application security, inspect software/mobile components, and support the development of custom utilities for data recovery and extraction.
- DevSecOps & Testing: Participate in CI/CD pipeline usage, write unit and automated integration tests, and utilize Infrastructure as Code (IaC) templates to support continuous delivery across secure environments.
Minimum Qualifications
- Education: Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related technical discipline.
- Experience: 1+ YOE in software development (including internships, co-ops, research labs, or professional production experience).
- Core Languages: Foundational proficiency in at least one modern language such as Python, Java, C#, or C/C++,
- Clearance: Active Top Secret clearance is required.
Preferred Qualifications
- Exposure to or hands-on experience with core cloud services in AWS (e.g., S3, Lambda, EC2, IAM) or Microsoft Azure (e.g., Blob Storage, Azure Functions, VMs).
- Entry-level or associate cloud certifications (e.g., AWS Certified Cloud Practitioner / Solutions Architect – Associate, Microsoft Certified: Azure Fundamentals / Developer Associate).
- Familiarity with modern front-end frameworks and libraries such as React, Angular, Vue.js, or TypeScript/JavaScript.
- Basic experience consuming RESTful or GraphQL APIs and working with data visualization libraries (e.g., Chart.js, D3.js).
- Basic knowledge of containerization concepts using Docker.
- Exposure to relational or NoSQL databases, or familiarity with data platforms and messaging systems (e.g., Elasticsearch, Redis, Apache Kafka).
- Coursework, personal projects, or hands-on experience experimenting with AI/ML frameworks (e.g., PyTorch, Hugging Face, LangChain) or commercial LLM APIs.
- Basic understanding of TCP/IP networking fundamentals and protocol analysis tools (e.g., Wireshark).
- Familiarity with OS internals, reverse engineering fundamentals, or binary analysis tools (e.g., Ghidra) is a plus.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Redhorse Corporation's Cyber Analytics team is seeking a motivated Junior Cloud Software Engineer to contribute to the development, deployment, and enhancement of enterprise-scale, AI-enabled data processing and visualization systems. This position supports mission-critical federal customer environments operating across hybrid, on-premises, and multi-cloud (AWS/Azure) ecosystems.
In this role, you will work alongside senior engineers and architects across the software development lifecycle. Responsibilities include building robust backend microservices, integrating Artificial Intelligence (AI/ML) capabilities, and developing clean, intuitive Web User Interfaces (UIs) for analysts and end-users.
The engineer will also assist with technical research, security analysis, and software component assessments. Successful candidates will bring a strong foundation in computer science, an eagerness to learn modern cloud and AI technologies, and solid communication skills to collaborate within a multidisciplinary team.
Position Description
- Cloud Engineering & Development: Assist in developing, testing, deploying, and maintaining cloud-native microservices and applications primarily utilizing AWS and/or Azure (GovCloud/commercial).
- Data Processing & Backend Systems: Support the implementation of resilient data processing pipelines, event-driven components, and APIs designed to handle high-throughput cyber datasets.
- Full-Stack & Web UI Development: Develop, test, and maintain responsive Web User Interfaces (UIs), front-end components, and dashboards that enable intuitive data visualization, analytics, and operational workflows.
- AI & Machine Learning Integration: Assist in connecting AI/ML models, cognitive services, vector databases, and Large Language Model (LLM) APIs into core analytics workflows under the guidance of senior technical staff.
- Cyber & Vulnerability Support: Collaborate with technical teams to assess application security, inspect software/mobile components, and support the development of custom utilities for data recovery and extraction.
- DevSecOps & Testing: Participate in CI/CD pipeline usage, write unit and automated integration tests, and utilize Infrastructure as Code (IaC) templates to support continuous delivery across secure environments.
Minimum Qualifications
- Education: Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related technical discipline.
- Experience: 1+ YOE in software development (including internships, co-ops, research labs, or professional production experience).
- Core Languages: Foundational proficiency in at least one modern language such as Python, Java, C#, or C/C++,
- Clearance: Active Top Secret clearance is required.
Preferred Qualifications
- Exposure to or hands-on experience with core cloud services in AWS (e.g., S3, Lambda, EC2, IAM) or Microsoft Azure (e.g., Blob Storage, Azure Functions, VMs).
- Entry-level or associate cloud certifications (e.g., AWS Certified Cloud Practitioner / Solutions Architect – Associate, Microsoft Certified: Azure Fundamentals / Developer Associate).
- Familiarity with modern front-end frameworks and libraries such as React, Angular, Vue.js, or TypeScript/JavaScript.
- Basic experience consuming RESTful or GraphQL APIs and working with data visualization libraries (e.g., Chart.js, D3.js).
- Basic knowledge of containerization concepts using Docker.
- Exposure to relational or NoSQL databases, or familiarity with data platforms and messaging systems (e.g., Elasticsearch, Redis, Apache Kafka).
- Coursework, personal projects, or hands-on experience experimenting with AI/ML frameworks (e.g., PyTorch, Hugging Face, LangChain) or commercial LLM APIs.
- Basic understanding of TCP/IP networking fundamentals and protocol analysis tools (e.g., Wireshark).
- Familiarity with OS internals, reverse engineering fundamentals, or binary analysis tools (e.g., Ghidra) is a plus.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
See All 146+ Full Stack Product Engineer Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find JobsFull Stack Product Engineer Jobs by City in Virginia
Where Virginia roles are concentrated, by current openings.
Full Stack Product Engineer Job Market in Virginia
A snapshot from current Virginia openings, updated as new roles post.
Who's Hiring
- Capital One95
- Information Technology Senior Management Forum21
- Deloitte3
- Booz Allen Hamilton2
- LMI1
Top Industries Hiring
- Technology & Software
What Virginia Employers Look For
The qualifications that appear most often in full stack product engineer jobs across Virginia.
- Bachelor's degree in computer science, software engineering, or a closely related technical field
- Proficiency in both front-end frameworks such as React or Angular and back-end languages like Node.js or Python
- Demonstrated experience designing and consuming RESTful or GraphQL APIs in production environments
- Hands-on experience with cloud platforms, particularly AWS or Azure, including deployment and infrastructure as code
- Familiarity with CI/CD pipelines, version control via Git, and agile or scrum development workflows
- Active security clearance or eligibility to obtain one, preferred by Virginia's defense and federal contracting employers
Full Stack Product Engineer Jobs in Virginia: Frequently Asked Questions
How do you become a full stack product engineer in Virginia?
Full stack product engineering has no state-issued license in Virginia, so the path runs through education and demonstrated technical skill. Most Virginia employers expect a bachelor's degree in computer science, software engineering, or information systems, though strong candidates from accredited bootcamps and associate programs at Virginia community colleges also get hired. Building a portfolio of full-stack projects and contributing to open-source work strengthens any application, and obtaining a CompTIA Security+ or AWS certification adds a competitive edge for Virginia's defense-adjacent market.
How much do full stack product engineers make in Virginia?
Full stack product engineers in Virginia earn a median of about $136,460 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $83,350 for the lowest 10% to over $211,930 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire full stack product engineers in Virginia?
Employers hiring full stack product engineers in Virginia right now include Capital One, Information Technology Senior Management Forum, and Deloitte, based on current listings on Migrate Mate as of November 2026. Virginia's concentration of federal contractors and technology companies in the Northern Virginia corridor means many openings carry security-clearance preferences alongside standard full-stack requirements.
Which Virginia cities have the most full stack product engineer jobs?
McLean, Richmond, and Chantilly account for the most full stack product engineer openings in Virginia. Northern Virginia dominates because of its density of federal agencies, defense contractors, and commercial cloud infrastructure companies, while Richmond's growing fintech and insurance technology sector and Hampton Roads' naval and cybersecurity employers create steady demand outside the D.C. metro.
Are there remote full stack product engineer jobs in Virginia?
Yes, and more than most fields. About 79% of full stack product engineer openings tied to Virginia are remote or hybrid as of November 2026, reflecting the desk-based, laptop-native nature of the work. The portions of the role most likely to remain fully remote are front-end feature development and API integration work, while roles involving classified systems or on-premises infrastructure typically require on-site presence.
How can I get hired as a full stack product engineer in Virginia with little or no experience?
The most realistic entry path is an associate or junior engineer role at one of Virginia's large federal IT contractors, where structured onboarding programs exist for new graduates. Booz Allen Hamilton and Leidos both run early-career programs that hire candidates with limited professional experience but strong academic or portfolio backgrounds. Adjacent roles like QA engineer, front-end developer, or technical support analyst at Virginia technology firms also serve as common lateral entry points, and completing an AWS or Google Cloud associate certification markedly improves interview chances.
Where can I find and apply to full stack product engineer jobs in Virginia?
You can find and apply to full stack product engineer jobs in Virginia on Migrate Mate, which lists current Virginia openings across industries and experience levels. Search the listings for roles that match your stack and experience, then apply directly to the ones that fit.
See All 146+ Full Stack Product Engineer Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
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