Senior Technical Architect, Slingshot Aerospace

• Candidates should bring strong architectural leadership across APIs, microservices, event-driven systems, RAG/LLM workflows, and enterprise-grade security practices
• Extensive architecture and engineering experience with .NET (C#/.NET Core)
• Strong architectural understanding of React applications (state management, performance, security)
• Deep experience designing distributed systems, microservices, and event-driven architectures
• Strong SQL Server background: schema design, query optimization, indexing, performance tuning
• Expertise with Redis or similar high-performance in-memory data systems
• Hands-on architectural experience with RAG frameworks, vector databases, and retrieval pipelines
• Experience with agent-driven AI architectures based on LangChain, AutoGen, DSPy, or similar
• Strong background with AWS, Docker, Kubernetes, Linux, and cloud-native deployment models
• Ability to diagnose complex system issues across multiple layers of a distributed environment
• Strong grounding in Secure SDLC, secure architecture principles, and platform hardening
• Bachelor’s or advanced degree in CS, Engineering, or related field

Desirable

• Seeking a Senior Architect with deep expertise in .NET, React, and Python to lead the design of secure, scalable, high‑performance application and data platforms
• This is a hands‑on role with significant responsibility for defining architecture standards, mentoring engineering teams, and overseeing end‑to‑end platform design across backend, frontend, distributed systems, ETL pipelines, and AI‑powered components
• Architect and oversee backend service ecosystems built with .NET (C#/.NET Core) and Python
• Define front-end architecture patterns and guide implementation of scalable React applications.Lead 3D visualization and UI architecture using Three.js for interactive, data‑driven interfaces
• Lead database architecture for SQL Server: schema design, indexing strategies, performance optimization
• Architect caching, messaging, and high-speed data layers using Redis or similar in-memory systems
• Design and govern RAG architectures, vector search integrations, and retrieval‑optimized AI solutions
• Define patterns and frameworks for Agentic AI workflows (LangChain, AutoGen, DSPy, etc.)
• Establish Secure SDLC, architecture governance, code quality, and CI/CD standards
• Conduct architecture reviews, perform threat modeling, and ensure compliance with best practices
• Guide resolution of complex production, system, and performance challenges across distributed systems
• Drive cloud-native architecture on AWS, including containerization, Kubernetes, networking, and security
• Partner with product, security, and engineering leadership to align architecture with business goals