Top Tech Jobs & Startup Jobs

Design and implement production-grade Python services and internal tools supporting verification, validation, testing, and evaluation workflows for DoD and intelligence missions. Build scalable, maintainable, and testable systems; establish engineering, testing, and observability best practices; contribute to mission-critical architecture; support containerized deployments and CI/CD automation; and mentor teammates.

Develop and deploy DevSecOps capabilities for defense-focused prototype systems. Responsibilities include containerizing Python applications, deploying workloads to Kubernetes, building CI pipelines and developer tooling, delivering infrastructure as code, troubleshooting Linux networking and storage, supporting cloud-native applications, and ensuring compliance with NIST, CMMC, and CIS controls.

Develop deep learning architectures and end-to-end machine learning pipelines for intelligence and national security applications. Responsibilities include sourcing and curating data, training, evaluating, testing, and deploying computer vision models in AWS using Python and PyTorch. The role also involves producing high-quality software, researching academic literature, collaborating on innovative solutions, and presenting technical work.

Develop and operate secure, cloud-native DevSecOps capabilities, including CI/CD pipelines, container orchestration, infrastructure as code, automation, and release engineering. Write and review Python code, troubleshoot Linux networking and storage, and support compliance with NIST, CMMC, CIS, and related standards. Partner with software engineers across defense and intelligence programs to deliver scalable operational capabilities.

Designs GitLab CI/CD pipelines, optimizes Kubernetes deployments, develops production-grade Python tools and applications, and supports mission-critical DoD and intelligence systems. The role emphasizes containerization, observability, testing, resilient system design, and collaboration across engineering teams. Responsibilities also include mentoring teammates and contributing to verification, validation, and evaluation environments.

Develop backend features, automated workflows, APIs, streaming services, and machine learning pipelines using Python, Docker, Kubernetes, and AWS. Collaborate on deep learning and computer vision applications, improve system performance and reliability, resolve bottlenecks, and follow software development and coding best practices in an Agile environment. The role requires an active Top Secret/SCI clearance and supports defense and intelligence missions.

Build and maintain full-stack applications for a mission-critical DoD and intelligence community training data platform. Responsibilities include developing responsive frontends, Python backend services, REST APIs, cloud-native systems, and containerized deployments on AWS. The role requires collaboration in Agile teams, testing, code reviews, performance and security optimization, user engagement, and support for scalable AI/ML data and model operations.

Design, develop, deploy, and maintain scalable, resilient, containerized cloud-native applications and infrastructure on AWS GovCloud and C2S. Manage cleared cloud deployments, develop reusable CloudFormation templates, implement logic with Lambda and ECS Fargate, support CI/CD and DevOps practices, and ensure compatibility across cleared and uncleared environments.

Develop deep learning architectures and end-to-end computer vision systems for national security applications. Responsibilities include researching technical literature, curating data, building and evaluating models, implementing solutions in Python and PyTorch, deploying systems in AWS, testing software, and collaborating on innovative solutions. The role requires strong machine learning theory, software engineering, object-oriented design, cloud development, CI/CD, containerization, and software lifecycle experience.

Develop and maintain backend capabilities for a DoD and Intelligence Community AI/ML training data repository. Responsibilities include building Python features, automated workflows, RESTful APIs, streaming services, and cloud-native systems using Docker, Kubernetes, and AWS. The role involves database design and optimization, performance troubleshooting, Agile collaboration, technical leadership, mentoring, and direct engagement with end users. An active TS/SCI clearance and at least five years of backend development experience are required.