Top Tech Jobs & Startup Jobs in Boston, MA

Harden and maintain AWS GovCloud, Microsoft GCC High, cloud, endpoint, container, and CI/CD environments for defense applications. Investigate vulnerabilities, secure software supply chains, lead threat modeling, enforce configuration and patching policies, monitor SIEM and cloud security alerts, and support federal compliance with CMMC, NIST, and FedRAMP standards. Collaborate across product, platform, and compliance teams to integrate security into the SDLC and support incident response.

Senior on-site IT support lead for Boston HQ owning endpoint, network, and conferencing infrastructure. Troubleshoot macOS/Windows endpoints via MDM, manage VPN and mobile devices, run onboarding/offboarding, partner with vendors on office build-out, enforce CUI/TAA compliance controls, and document processes while mentoring junior staff.

As a Staff Engineer, you will lead technical challenges, architect solutions, mentor engineers, and define engineering excellence.

Develop user interfaces for air traffic systems, focusing on map-based applications and real-time data processing.

The Cloud Platform Engineer will lead the delivery of the Flyways AI Platform, deploying, maintaining, and scaling secure cloud infrastructure while collaborating on coding software solutions with product engineers.

The Full Stack Engineer will develop products enhancing air operations, focusing on frontend features with technologies like React and backend APIs.

Design, build, and manage secure cloud infrastructure and DevSecOps pipelines to achieve FedRAMP and DoD compliance. Implement security controls, automate security tooling, manage cloud (GovCloud/GCCHigh/Platform One) and Kubernetes/EKS environments, enforce least-privilege and Zero Trust, and support vulnerability scanning and pen testing.

As a Software Engineer, you will build innovative products, enhance existing solutions, and collaborate with cross-functional teams in a fast-paced environment.

Design and deploy production-grade ML systems, integrate models into software pipelines, and develop features leveraging ML for optimization and prediction problems.

Build and operate cloud infrastructure for mission-critical aviation systems, focusing on scalability, resilience, and deployment pipelines in a production environment.