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

What we're looking for :

- 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)

- 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 Skills :

- Prior experience with BYOC, air-gapped, or restricted-network environments

- Observability tools: Prometheus, Grafana, OpenTelemetry, ELK, OpenSearch, Datadog

- GitOps / CI-CD; Python or Golang for automation; multi-tenant SaaS infrastructure scaling

- Exposure to AI/ML pipeline deployments or iPaaS / reverse ETL connectors; SRE concepts (SLIs/SLOs, DR, high availability)