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.