DevOps Engineer

We're seeking a hands-on DevOps / Cloud Engineer who can own our infrastructure end-to-end and support a fast-moving ML engineering team . You will design, build, and operate the cloud, data, and deployment systems that power our product — with a strong emphasis on reliability, automation, security, and speed .

What You’ll Do

• Design & manage cloud infrastructure (AWS / GCP / Azure) for core services, data pipelines, and ML workloads
• Build CI / CD pipelines for backend systems, ML model training / inference, and microservices
• Deploy & optimize ML clusters — GPU nodes, autoscaling, Docker / Kubernetes-based workloads
• Implement observability : metrics, logs, traces, alerting, SLOs
• Own Infrastructure-as-Code (Terraform, CDK, Helm) for all environments
• Improve developer velocity through automated builds, tests, deploy tools, and internal platform enhancements
• Ensure security best practices : IAM, secrets management, VPC / networking, least-privilege
• Participate in on-call rotation and support incident response for production systems

What You Bring

Nice-to-Haves