Senior Full Stack Engineer
New
S
Slingshot AerospaceAerospace Software
US-based Candidates: we are currently only able to hire residents of the following 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. Internationally-based Candidates: we are currently only able to hire residents of the following locations: United Kingdom.Full-TimeSenior
Salary160,000 - 200,000 USD per year
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Job Details
- Required Skills
- AWSDockerPythonKubernetesMicrosoft SQL ServerC#.NETRedisReact
Requirements
- Strong experience building production systems in C#/.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/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.
- 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 related field.
Responsibilities
- Develop backend services and APIs using C#/.NET Core.
- Build secure, responsive, and maintainable frontend applications using React.
- Implement 3D visualization and data-driven UI 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 distributed-system performance and scalability issues.
- Deploy and maintain applications using Docker, Kubernetes, and AWS services.
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