Senior System Software Engineer 3085719 I.Html

Focusing on DevOps and Infrastructure Automation, the full-time Senior System Software Engineer will design and operate infrastructure for AI inference products, manage Kubernetes deployments, and architect CI/CD pipelines while collaborating with cross-functional teams, with opportunities available in Santa Clara, Seattle, or remotely.

##### Key responsibilities

Design, build, and operate the infrastructure backbone for AI inference products, ensuring reliability and scalability

Manage end-to-end Kubernetes deployments, including runbooks, canary checks, and post-deploy validations

Architect CI/CD pipelines for automated build, test, packaging, and release processes

##### Required qualifications

BS/MS in Computer Science/Computer Engineering or equivalent experience, with 7+ years in production distributed systems (SRE/DevOps/Platform Ops)

Deep expertise in Kubernetes, including on-prem setup and debugging telemetry-heavy microservices across cloud platforms

Strong experience with CI/CD tools (GitLab CI, GitHub Actions), Linux systems programming, and scripting in Python and Bash

Fluency in Infrastructure as Code (Terraform, Ansible, Helm) and containerization (Docker, containerd)

Proven experience in reliability ownership, incident response, and observability stacks like Prometheus and Grafana