Senior DevOps Engineer - Kubernetes

Role Overview :

We are looking for a hands-on Senior DevOps Engineer to own end-to-end customer deployments across cloud, Bring Your Own Cloud (BYOC), air-gapped, and data-center environments. This is a high-impact, customer-facing role where you will troubleshoot complex infrastructure, maintain robust observability, and drive customer escalations to resolution with a "fix first, optimize later" mindset.

Key Responsibilities :

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

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

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

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

- Handle customer escalations with urgency and drive issues to quick resolution.

- Automate deployment and operational workflows using Python or Golang.

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

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

Candidate Requirements :

Mandatory Requirements :

- Experience: 6+ years of hands-on DevOps experience deploying, operating, troubleshooting, and scaling enterprise B2B SaaS environments.

- Deployment Expertise: Proven experience owning end-to-end customer deployments across cloud and enterprise/restricted environments.

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

- Helm: Practical experience with Helm chart deployment, templating, and troubleshooting.

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

- Linux & Cloud: Strong Linux operating system skills and cloud infrastructure troubleshooting abilities.

- Observability: Practical experience with metrics, logs, traces, and alerting systems.

- Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, GCP, Azure, or OCI).

- Mindset: Strong incident-management and production-troubleshooting mindset with a "fix first, optimize later" approach.

Preferred Requirements :

- Prior experience with BYOC, air-gapped, or restricted-network enterprise deployments.

- Familiarity with observability tools like Prometheus, Grafana, OpenTelemetry, ELK, OpenSearch, or Datadog.

- Experience with GitOps, CI/CD pipelines, and scripting in Python or Golang.

- Exposure to multi-tenant SaaS scaling, SRE concepts (SLIs/SLOs, DR, High Availability), or AI/ML pipeline deployments / iPaaS connectors.