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.