Senior Technical Architect

Job not on LinkedIn

🕒 May 15

🏈 Alabama, Arizona, +29 more states – Remote

🏈 Alabama – Remote 🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🏛️ District of Columbia – Remote 🐊 Florida – Remote 🌺 Hawaii – Remote 🌽 Illinois – Remote 🌪️ Kansas – Remote 🦬 Montana – Remote 🎰 Nevada – Remote 🏖️ New Jersey – Remote 🌶️ New Mexico – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🌪️ Oklahoma – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🏰 Missouri – Remote ⚓ Rhode Island – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote ⚔️ Virginia – Remote ☕ Washington – Remote ⛰️ West Virginia – Remote 🧀 Wisconsin – Remote

💵 $175k - $250k / year

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Slingshot Aerospace

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

🎖️ Defense

💼 Consulting

📦 Logistics

💰 $25.2M Grant on 2022-03

Defense • Consulting • Logistics

Slingshot Aerospace is a leading AI and data-driven platform focused on optimizing satellite operations and enhancing space traffic coordination for operators worldwide. Renowned for its innovative solutions in space domain awareness, Slingshot Aerospace provides advanced tools for space security, defense missions, training, and market analysis. The company's comprehensive offerings include space object tracking, AI-driven training agents, and astrodynamics services. Through its Global Sensor Network and sophisticated data fusion techniques, Slingshot transforms disparate space data into actionable insights, improving operational efficiency and reducing risks in an increasingly complex orbital environment. Trusted by government and commercial space operators, Slingshot Aerospace is committed to making the space domain safe, sustainable, and secure for future generations.

📋 Description

• 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.

🎯 Requirements

• 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.