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Senior DevOps Engineer - Kubernetes

Laksh Consultants
6 - 8 Years
Multiple Locations

Posted on: 19/09/2026

Job Description

Position : Senior DevOps Engineer (B2B SaaS)

Overall/Total Experience : 6 - 8 years only

Location : Gurugram/Hyderabad

Working Days : 5 Days from Office

Notice Period Requirement : 30 Days (Maximum)

Client's Company Size : Mid-Sized

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.

Candidate Requirements :

- Strong Hands-On DevOps Engineer Profile with deep Kubernetes and multi-cloud experience.

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

- Must be able to own end-to-end customer deployments across cloud and enterprise environments (the role covers cloud, BYOC, air-gapped, and data-center deployments).

- Must have strong hands-on Kubernetes experience - troubleshooting, networking, workloads, storage, RBAC, and security.

- Must have hands-on Helm experience - deployment, templating, and troubleshooting.

- Must have hands-on Terraform experience - infrastructure provisioning and automation.

- Must have strong Linux and cloud infrastructure troubleshooting skills.

- Must have hands-on experience with observability - metrics, logs, traces, and alerting.

- Must have hands-on experience with one or more of AWS / GCP / Azure / OCI.

- Must have a strong incident-management and production-troubleshooting mindset, with a "fix first, optimize later" approach to customer escalations.

- Must be from B2B SaaS product companies.

Preferred :

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

- 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).

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