Meet Slingshot 

At Slingshot Aerospace, we're on a mission to make space safer and more secure for everyone. Our work directly impacts global security, disaster response, climate monitoring, and the critical infrastructure that connects our world. We're a team of builders, thinkers, and problem-solvers who believe that the next generation of space operations will be powered by better data and smarter software. We move fast, we're not afraid to fail, and we believe the best ideas can come from anywhere—whether you're in engineering, sales, product, or operations. If you want to work on something that truly matters, with people who care deeply about the impact we're making and help shape the future of an industry that's just getting started, you're in the right place. 

What You'll Be Launching

Seeking a Technical Architect to lead the design and implementation of secure, scalable, and high‑performance data processing platforms. This on‑site role (Washington DC–Baltimore area) requires deep expertise in Python, FastAPI, distributed event‑driven architectures, MongoDB, and at least one in‑memory data store such as Redis. The architect will own system design, standards, and production‑grade delivery across ingestion, transformation, streaming, and service layers while enforcing Secure SDLC practices.

 Your Mission (Should you choose to accept it)  

• Architect and implement Python‑based ETL frameworks, orchestration layers, and high‑throughput data pipelines.
• Design and optimize real‑time event‑driven streaming systems using Kafka and/or RabbitMQ.
• Build and scale FastAPI‑based microservices with strong focus on performance, security, and observability.
• Lead MongoDB data modeling, indexing strategies, aggregation pipelines, and performance tuning.
• Architect caching, session management, and high‑speed data access layers using Redis or similar memory‑based databases.
• Apply Secure SDLC principles across architecture, coding, CI/CD, and deployment workflows.
• Lead architecture reviews and define engineering standards for distributed systems.
• Diagnose and resolve complex system, data, and performance issues in production environments.
• Drive containerization, Kubernetes‑native deployment patterns, and AWS cloud integration.

Pre-flight Checklist 

• Expert‑level Python experience across ETL systems, microservices, and distributed data processing.
• Strong FastAPI design and implementation experience.
• Deep, production-level experience with Kafka and/or RabbitMQ.
• Mandatory MongoDB expertise: schema design, indexing, aggregation, sharding/replication.
• Experience with at least one memory‑based database (Redis strongly preferred).
• Strong Linux proficiency and experience with Docker/Kubernetes.
• Demonstrated ability to debug complex distributed or high‑scale systems.
• Implement Agentic AI workflows using LangChain and Crew AI.
• Hands‑on AWS experience across compute, data, networking, and security services.
• Proven application of Secure SDLC principles and secure architecture patterns.
• Bachelor’s or advanced degree in CS, Engineering, or related field.

 

Bonus Cargo 

• Space industry data familiarity is a plus.

Location: Onsite in Washington DC-Baltimore Area 

Compensation: $175k - 250k, Equity and Benefits