Note: The job is a remote job and is open to candidates in USA. Slingshot Aerospace is on a mission to make space safer and more secure for everyone. They are seeking a Senior Technical Architect to lead the design and implementation of secure, scalable, and high-performance data processing platforms, primarily using Python and FastAPI. The role involves owning system design and production-grade delivery across various data processing layers.
Responsibilities
- 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
Skills
- Deep expertise in Python
- FastAPI
- Distributed event-driven architectures
- MongoDB
- At least one in-memory data store such as Redis
- 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
- Experience with distributed systems, RAG pipelines, and modern cloud-native development is strongly preferred
- Space industry data familiarity is a plus
- Current and Active Top Security Clearance with SCI Eligibility strongly preferred
Benefits
- Equity
- Benefits
Company Overview