Full Stack Solutions Architect
RemoteUnited States
Job Summary
Diagnose customer requirements and program objectives to uncover underlying problems before building, then design end-to-end solutions from data models to APIs and UIs that align with mission needs. Leverage agentic AI tools to rapidly prototype, extend, and integrate new functionality into existing code stacks, compressing the distance between idea and working systems. Collaborate with development teams and stakeholders to identify pain points, propose creative solutions, and build consensus around architecture while transitioning seamlessly between programs to prioritize highest-impact initiatives. Facilitate integrations, resolve technical challenges, and adhere to development timelines within multidisciplinary teams, ensuring compliance with security protocols and government standards. Conduct rigorous testing to guarantee performance, scalability, and reliability of updated or newly architected systems, documenting technical solutions and design rationale for knowledge transfer.
Required Qualifications
- Secret clearance required
- 3–5 years applying full-stack development in a production environment
- Demonstrated solutions mindset: Experience translating ambiguous requirements into a technical design or architecture, not just implementing pre-defined tickets
- Experience with agentic AI coding tools: demonstrated proficiency using tools to enhance existing code stacks at scale
- Proven full-stack development experience: minimum of 3–5 years developing, maintaining, and improving front-end and back-end systems
- Proficient in at least one back-end language (Python preferred) and one front-end framework/tool (TypeScript preferred)
- Experience designing and consuming RESTful APIs for integration across systems
- Strong foundational skills across relational (e.g., PostgreSQL, MySQL, SQL Server) and non-relational (e.g., MongoDB) databases
- Comfortable operating in agile environments and collaborating across multidisciplinary teams
- Version control proficiency: Git (GitLab preferred)
- Experience with testing, security, DevSecOps, and CI/CD processes
- Strong communication and influence skills: able to pitch a technical solution to both engineers and non-technical stakeholders, and defend the 'why' behind an architecture, not just the 'how'
- Advanced proficiency in agentic AI tools, including designing multi-step or multi-agent workflows to accelerate development
- Experience with cloud environments (AWS, Azure, or Google Cloud) for designing and deploying cloud-based solutions
- Microservices and containerized architecture experience (Docker, Kubernetes)
- UI/UX design sensibility — knowledge of React, Vue.js, or Angular used in service of better user outcomes, not just implementation
- Infrastructure-as-code fluency (Terraform, Ansible) as part of a broader DevSecOps practice
- Data engineering experience: ETL pipelines, data pipeline management, real-time analytics
- Security certifications (Security+, CISSP) highly desirable
- Advanced Agile/SAFe experience, including shaping sprint planning around architectural priorities
- A track record of proposing solutions others hadn't considered — whether that's a novel integration pattern, a smarter data flow, or a way to use AI tooling that saved a program significant time
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