Senior DevOps Engineer (B2B SaaS)

*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

**Ideal Candidate

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

2.Mandatory (Experience 1): Must have 6+ years of hands-on DevOps experience, deploying, operating, troubleshooting, and scaling enterprise SaaS environments.

3.Mandatory (Experience 2): 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).

4.Mandatory (Tech skill 1): Must have strong hands-on Kubernetes experience — troubleshooting, networking, workloads, storage, RBAC, and security

5.Mandatory (Tech skill 2): Must have hands-on Helm experience — deployment, templating, and troubleshooting.

6.Mandatory (Tech skill 3): Must have hands-on Terraform experience — infrastructure provisioning and automation

7.Mandatory (Tech skill 4): Must have strong Linux and cloud infrastructure troubleshooting skills

8.Mandatory (Tech skill 5): Must have hands-on experience with observability — metrics, logs, traces, and alerting

9.Mandatory (Tech skill 6): Must have hands-on experience with one or more of AWS / GCP / Azure / OCI

10.Mandatory (Tech skill 7): Must have a strong incident-management and production-troubleshooting mindset, with a "fix first, optimize later" approach to customer escalations.

11.Mandatory (Company): B2B SaaS product companies

12.Preferred (Enterprise deployments): Prior experience with BYOC, air-gapped, or restricted-network environments.

13.Preferred (Observability tools): **Prometheus / Grafana / OpenTelemetry / ELK / OpenSearch / Datadog

14.Preferred (Other): **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).