Slingshot Aerospace
Aerospace
SeniorPythonEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Python Engineer at Slingshot Aerospace. Skills: Python, FastAPI, distributed event-driven systems, MongoDB, Redis, Kafka, RabbitMQ, microservices, RAG systems, Agentic AI workflows, AWS, Kubernetes. design and deliver secure, scalable, high performance data processing and intelligent application platforms. contribute to system design”
Industry & Context.
problem-solvers; debug complex distributed or high-scale systems; troubleshoot complex data, system, and performance issues
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.
What They're Looking For.
Must Have
Expert-level Python experience across ETL, microservices, and distributed data processing, FastAPI development and optimization experience, Production experience with Kafka and/or RabbitMQ, MongoDB expertise: schema design, indexing, aggregation, sharding/replication, Experience with in-memory databases such as Redis, Hands-on experience implementing vector search or RAG-based retrieval pipelines, Experience with agent-driven AI architectures and LLM-powered automation workflows, Linux proficiency and experience with Docker/Kubernetes, Demonstrated ability to debug complex distributed or high-scale systems, Hands-on AWS experience across compute, networking, and data services, Proven application of Secure SDLC and secure engineering patterns, Bachelor’s or advanced degree in CS, Engineering, or related field
Nice to Have
Experience with RAG systems and Agentic AI workflows is strongly preferred
What You'll Do.
design and deliver secure
high performance data processing and intelligent application platforms
contribute to system design
build production-ready services and pipelines
apply best practices across ingestion
and secure delivery workflows
Develop Python-based ETL frameworks
and high-throughput data pipelines
Implement and optimize real-time
event-driven streaming architectures using Kafka and/or RabbitMQ
Build and scale FastAPI microservices with focus on performance
Design MongoDB schemas
and aggregation pipelines with attention to performance
Implement caching layers
and high-speed data access using Redis or similar in-memory stores
Contribute to the design and implementation of RAG pipelines
vector search integrations
and retrieval optimization
Implement Agentic AI workflows using LangChain and Crew AI
Apply Secure SDLC practices across coding
Participate in architecture reviews and contribute to engineering standards for distributed systems
Troubleshoot complex data
and performance issues in production environments
Support containerization
Kubernetes-native deployment patterns
and AWS cloud integrations
How You'll Work.
Team & Collaboration
Participate in architecture reviews and contribute to engineering standards for distributed systems
Full Job Description
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 Senior Python Engineer to design and deliver secure, scalable, high performance data processing and intelligent application platforms. This on site role (Washington DC–Baltimore area) requires deep expertise in Python, FastAPI, distributed event-driven systems, MongoDB, and in memory datastores such as Redis. The engineer will contribute to system design, build production-ready services and pipelines, and apply best practices across ingestion, transformation, streaming, AI integration, and secure delivery workflows. Experience with RAG systems and Agentic AI workflows is strongly preferred. Your Mission (Should you choose to accept it) Develop Python-based ETL frameworks, orchestration layers, and high-throughput data pipelines. Implement and optimize real-time, event-driven streaming architectures using Kafka and/or RabbitMQ. Build and scale FastAPI microservices with strong focus on performance, resilience, security, and observability. Design MongoDB schemas, indexing strategies, and aggregation pipelines with attention to performance. Implement caching layers, session management, and high-speed data access using Redis or similar in-memory stores. Contribute to the des
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