Roles & Responsibilities :

- Own end-to-end customer deployments across cloud, BYOC, air-gapped, and data-center environments.

- Deploy and operate production environments using Kubernetes, Helm, and Terraform.

- Troubleshoot complex Kubernetes, networking, infrastructure, application, and deployment issues.

- Build and maintain observability, monitoring, alerting, and reliability.

- Handle customer escalations and drive issues to resolution with a "fix first, optimize later" mindset.

- Automate deployment and operational workflows.

- Work closely with Engineering, Product, and Customer teams to resolve production challenges.

- Participate in on-call and shift rotations, including critical customer escalations outside standard working hours.

Tech Stack & Requirements :

- 6+ years of hands-on DevOps experience, deploying, operating, troubleshooting, and scaling enterprise SaaS environments.

- Strong hands-on Kubernetes experience - troubleshooting, networking, workloads, storage, RBAC, and security.

- Hands-on Helm experience - deployment, templating, and troubleshooting.

- Hands-on Terraform experience - infrastructure provisioning and automation.

- Strong Linux and cloud infrastructure troubleshooting skills.

- Hands-on experience with observability - metrics, logs, traces, and alerting (Prometheus / Grafana / OpenTelemetry / ELK / OpenSearch / Datadog).

- Hands-on experience with one or more of AWS / GCP / Azure / OCI.

- Strong incident-management and production-troubleshooting mindset.

- Experience with B2B SaaS product companies.

- Preferred : BYOC, air-gapped, or restricted-network environments; GitOps / CI-CD; Python or Golang; multi-tenant SaaS infrastructure scaling; AI/ML pipeline deployments; SRE concepts (SLIs/SLOs, DR, high availability).