Senior Technical Architect

Slingshot Aerospace

Technical Architect designing and implementing secure data processing platforms at Slingshot Aerospace. Requires expertise in various technologies including Python, FastAPI, and MongoDB.

Posted 5/22/2026full-timeDistrict of Columbia, Maryland, Virginia • 🇺🇸 United StatesSenior💰 $175,000 - $250,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsDockerETLKafkaKubernetesLinuxMicroservicesMongoDBPythonRabbitMQRedisSDLC

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Equity and Benefits

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonETLFastAPIKafkaRabbitMQMongoDBRedisLinuxDockerKubernetes

Soft Skills

leadershipproblem-solvingcommunicationdebuggingperformance tuning

Certifications

Bachelor’s degreeadvanced degree