Senior System Software Engineer - DevOps and Infrastructure Automation

What you'll do

• Design and build the infrastructure backbone for AI inference products.
• Own Kubernetes deployments end-to-end in cloud and on-prem environments.
• Architect CI/CD pipelines for automated deployment of inference libraries.
• Build observability tools to monitor platform health and lead incident triage.
• Manage cloud and on-prem environments using infrastructure-as-code practices.
• Ensure security posture by conducting vulnerability scans and remediation.

What we're looking for

• 7+ years of experience in operating production distributed systems as an SRE, DevOps engineer, or Platform Ops specialist.
• Deep expertise in Kubernetes, including hands-on debugging of telemetry-heavy microservices across multiple cloud platforms and on-premises environments.
• Strong proficiency in CI/CD tools (GitLab CI, GitHub Actions), Git-based workflows, Linux systems programming, and scripting with Python and Bash.
• Fluency in infrastructure-as-code practices using Terraform, Ansible, Helm, Crossplane, and containerization technologies like Docker and containerd.
• Proven reliability ownership experience, including SLO/SLI management, on-call responsibilities, incident response, and post-incident reviews to drive improvements.
• Clear communication skills for writing effective runbooks and contributing to observability stacks such as Prometheus, Grafana, and Loki.