
location_on1628, 5th Street Northwest, Logan Circle/Shaw, Ward 2, Washington, District of Columbia, 20001, United States
Slingshot is on a mission to create a safer, more connected world. We believe that diversity—including race, gender identity, national origin, citizenship, sex, color, veteran status, disability, and genetic information—is key to our success. Our team is made up of people with different strengths, experiences, and backgrounds who share a passion for innovation. We embrace individuality and value every point of view.
We are seeking a Technical Architect to lead the design and implementation of secure, scalable, and high-performance data processing platforms. This is an on-site role based in the Washington DC–Baltimore area, where you will own system design, standards, and production-grade delivery across ingestion, transformation, streaming, and service layers.
In this position, you will architect and implement Python-based ETL frameworks and orchestration layers. You will design real-time event-driven streaming systems and build scalable FastAPI-based microservices with a strong focus on performance, security, and observability. Your day-to-day will involve leading MongoDB data modeling, optimizing caching layers with in-memory databases, and driving containerization and Kubernetes-native deployment patterns on AWS. You will also be responsible for enforcing Secure SDLC practices across all architecture, coding, and deployment workflows.
Note: Specific interview steps are not detailed in the source text.
We are currently hiring US-based candidates residing in the following 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. We are also accepting applications from candidates residing in the United Kingdom. We are unable to consider candidates residing in other locations at this time.
Equity, Diversity & Inclusion are key to our success. As an Equal Opportunity Employer, we ensure our employees are people with different strengths, experiences, and backgrounds who share a passion for creating a safer, more connected world. All of our employees' points of view are key to our success, and we embrace individuality.
Work model: On-site
1628, 5th Street Northwest, Logan Circle/Shaw, Ward 2, Washington, District of Columbia, 20001, United States
Washington, District of Columbia
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Skills: Python, Fastapi, Distributed Event-Driven Architectures, Mongodb, Redis, Secure SDLC, Kafka, Rabbitmq, Kubernetes, Aws.
Education: Bachelor's or advanced degree in CS, Engineering, or related field required.
Familiarity with space industry data.
Slingshot Aerospace operates within the Technology, Information, and Internet industry, delivering satellite tracking, space traffic coordination, and modeling solutions to government and commercial clients globally. Headquartered in Colorado Springs, Colorado, the firm enables space operators to enhance flight safety and optimize orbital activities through mission-critical data and applications. The company's platform aggregates information from the Slingshot Global Sensor Network, the Seradata satellite and launch database, owner-operators, and various third-party providers to generate a comprehensive, real-time representation of the space environment. This unified view of past, present, and predicted space activities allows international operators to better monitor conditions and plan future missions effectively.
Founded in 2017, Slingshot Aerospace maintains a physical footprint across California, Colorado, and the United Kingdom. The organization is guided by a core mission to ensure space remains safe, sustainable, and secure for all users. By combining diverse data streams into a single operational picture, the company supports the decision-making processes of space operators worldwide. Its services address the growing complexity of orbital management by providing accurate insights derived from extensive data collection and analysis. The firm's approach focuses on delivering actionable intelligence rather than merely data aggregation, helping customers navigate the increasingly crowded near-Earth environment with greater confidence and precision.
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