Senior Full Stack Engineer

Remote (United States)

About the Role

This opportunity is for a Senior Full Stack Engineer to design and deliver secure, scalable, high-performance data and application platforms. The role combines backend platform engineering, modern frontend development, distributed systems, AI-driven workflows, cloud-native infrastructure, and advanced visualization.

You will work across the stack to build APIs, AI-enabled services, data pipelines, visualization systems, and scalable distributed applications that support advanced analytics and operational capabilities.

Work Details

Status: Full-time

Eligible U.S. States: AL, AZ, CA, CO, DC, FL, GA, HI, IL, IN, KS, MA, MD, MI, MN, MO, MT, NC, NJ, NM, NV, NY, OH, OK, OR, RI, TN, TX, UT, VA, WA, WI, WV

Salary Range: $160,000 - $200,000 per year

Additional Compensation: Equity eligibility

Benefits: Benefits package available

What You’ll Do

• Develop backend services and APIs using C# and .NET Core.
• Build secure, responsive, and maintainable frontend applications using React.
• Implement 3D visualization and data-driven user interface experiences using Three.js.
• Design and optimize SQL Server schemas, indexing strategies, and aggregation pipelines.
• Implement Redis-based caching and signaling systems.
• Build RAG pipelines, vector search integrations, and retrieval-optimized AI services.
• Develop agentic AI workflows using LangChain, AutoGen, DSPy, or similar frameworks.
• Apply Secure SDLC practices across backend, frontend, infrastructure, and CI/CD workflows.
• Troubleshoot performance and scalability issues across distributed systems.
• Deploy and maintain applications using Docker, Kubernetes, and AWS services.
• Collaborate with product, security, and data teams to define engineering standards and deliver high-quality systems.

Qualifications

• Strong experience building production systems with C# and .NET Core.
• Production-level React expertise, including hooks, state management, and secure UI patterns.
• Experience designing distributed systems, microservices, and event-driven architectures.
• Strong SQL and database optimization experience, including indexing and schema design.
• Experience with Redis or similar in-memory data technologies.
• Hands-on experience with RAG frameworks, vector databases, and retrieval pipelines.
• Experience building agentic AI workflows using LangChain, AutoGen, DSPy, or similar frameworks.
• Experience with Docker, Kubernetes, Linux, and AWS cloud services.
• Strong debugging and troubleshooting skills across full-stack and distributed environments.
• Understanding of secure architecture and Secure SDLC methodologies.
• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Advanced degree is preferred.

Preferred Experience

• Experience with Three.js or advanced browser-based visualization frameworks.
• Familiarity with space-domain data or aerospace systems.
• Experience with streaming or event systems such as Kafka or RabbitMQ.
• Experience building AI-enabled enterprise platforms.
• Knowledge of observability and monitoring tools such as Datadog, Grafana, Prometheus, or OpenTelemetry.