Cloud Engineer jobs in Boston, MA

Lead the development of security-as-a-service tooling to create safe-by-default environments and secure cloud infrastructure. Collaborate with engineering teams to implement scalable security controls and respond to security events.

The Senior Principal Software Engineer will act as a hands-on cloud architect to guide engineering teams in building resilient, secure, and scalable cloud-native software. You will partner with product teams to solve complex architectural problems, establish reusable patterns, and lead technical direction for AWS infrastructure.

The Customer Engineer will partner with technical sales teams to architect cross-pillar cloud solutions and serve as a trusted advisor to customers. They are responsible for driving technical wins, conducting workshops, and facilitating the transition from sales to implementation.

Drive technical wins for complex Cloud AI workloads by supporting the business cycle from evaluation through customer ramp. Provide deep technical consultation and develop prototypes to secure buy-in from customer domain experts.

Design, develop, and maintain software components across a modern cloud-based platform while participating in the full development lifecycle. Partner with cross-functional teams to deliver scalable, high-quality solutions and explore emerging technologies like AI-assisted development.

Develop and manage automation software for NVIDIA's GPU Cloud and SuperPod deployments to enable efficient network design and lifecycle management. Collaborate with infrastructure experts to build scalable, zero-touch deployment solutions and integrate with various service APIs.

The role involves designing and securing AI-enabled products and cloud environments using Zero Trust principles and secure software development lifecycles. You will collaborate with stakeholders to implement production-quality AI security architectures and automated threat management capabilities.

The engineer will design and implement secure architectures for generative and agentic AI, applying Zero Trust controls across cloud environments and development pipelines. They will also lead client discovery sessions and develop production-quality AI security platforms while mentoring team members.