Teams at Cerebras Systems Inc.

Bring up and validate next-generation AI hardware systems and supporting software. Debug hardware-software integration failures using logs, telemetry, and diagnostic tools; develop automation frameworks, testing infrastructure, and observability tooling; reproduce and triage complex issues; and collaborate with hardware engineers to qualify systems for production.

Designs and operates secure, scalable cloud infrastructure and identity platforms across AWS and data centers. Builds IAM, authentication, authorization, SSO, MFA, provisioning, secrets, and key management solutions. Develops Terraform-based automation using Python or Go, supports Kubernetes services, implements Zero Trust controls, and improves reliability, observability, and developer experience. The role includes architecture reviews, cross-team technical leadership, mentoring, production support, incident response, and on-call participation.

Designs and leads CI/CD, artifact lifecycle, build, test, release, and developer infrastructure systems. Improves cloud infrastructure, code review workflows, branching strategies, automation, observability, and engineering productivity. Troubleshoots complex distributed systems, drives architectural improvements, participates in on-call and incident response, and mentors engineers across the Developer Productivity organization. Contributes to AI tooling that automates repetitive engineering workflows.