Software/ML Engineer (Top-Secret)

ITC Federal, Inc.•Redmond, WA

3d•Hybrid

About The Position

ITC Federal is seeking a Software/ML Engineer to support Microsoft's Spectre team and the National Geospatial-Intelligence Agency. Spectre advances Geospatial AI by developing foundation models for aerial object detection, tracking, and map generation, as well as an end-to-end AI platform that turns large volumes of data into geospatial insights for mission customers. The role builds cloud-native services and backend systems that power AI foundation models and agentic workflows. The position may be filled at junior, mid, or senior level; candidates at all experience levels are encouraged to apply. This is a full-time hybrid position, with two days onsite at a SCIF and three days remote. The preferred onsite location is the NGA in Springfield, Virginia; alternatives are secure spaces in Reston, Virginia, or Redmond, Washington. An active Top Secret clearance and U.S. citizenship are required; TS/SCI is preferred but not required. The candidate must be able to function in a general office environment.

Requirements

Bachelor's degree in Computer Science, Mathematics, Software Engineering, Computer Engineering, or a related field.
At least 2 years of experience in data science, software development, data modeling, or data engineering, or equivalent experience.
At least 2 years of professional experience with machine-learning delivery responsibilities, such as delivering code components for services, servers, distributed systems, and backend architecture, or incorporating AI, machine learning, and computer-vision capabilities into solutions and services.
Ability to meet Microsoft, customer, and/or government security screening requirements.
Active Top Secret (TS) security clearance.
U.S. citizenship, required due to the nature of the government contract.
Ability to function in a general office environment.

Nice To Haves

TS/SCI security clearance.
Hands-on experience with REST APIs, backend services, and containerization technologies such as Docker.
Experience with Azure cloud services, including AKS, IAM, Redis, and messaging systems.
Background in building scalable, distributed backend systems.
Practical experience working with geospatial workflows or datasets.
Additional experience for consideration at the mid or senior level.

Responsibilities

Design, build, and operate cloud-native Python microservices supporting AI foundation models and agentic workflows at scale.
Develop and maintain REST APIs and backend services using Azure AKS, IAM, Redis, and messaging systems, with production-grade reliability.
Apply Infrastructure-as-Code (IaC) and CI/CD pipelines to automate deployment and ensure production readiness.
Partner with engineers, data scientists, designers, and program managers to deliver solid technical designs.
Embody the organization's Culture and Values.