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We are looking for a hands-on Senior DevOps Engineer with strong experience in Kubernetes, cloud infrastructure, automation, and production troubleshooting.
The role involves managing end-to-end customer deployments across cloud, BYOC, air-gapped, and data-center environments. You will work closely with Engineering, Product, and Customer Success teams to troubleshoot production issues, improve reliability, and ensure successful customer deployments.
This is a customer-facing role requiring strong ownership and a hands-on production troubleshooting mindset.
Key Responsibilities
Own 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 Kubernetes, networking, infrastructure, application, and deployment issues.
Manage production incidents and customer escalations through to resolution.
Build and maintain monitoring, alerting, logging, metrics, and observability systems.
Automate deployment and operational processes using Python or Golang.
Work with Engineering, Product, and Customer Success teams on production issues.
Support high-availability and reliable production environments.
Participate in on-call and shift rotations for critical customer escalations.
Mandatory Requirements
6+ years of hands-on DevOps experience.
Experience working with enterprise B2B SaaS or production environments.
Strong hands-on experience with Kubernetes.
Good knowledge of Kubernetes workloads, networking, storage, RBAC, and security.
Practical experience with Helm charts, templating, deployment, and troubleshooting.
Hands-on Terraform experience for infrastructure provisioning and automation.
Strong Linux administration and troubleshooting skills.
Experience with at least one major cloud platform:
AWS
GCP
Azure
OCI
Experience with monitoring, logging, metrics, alerting, and observability.
Strong production incident-management and troubleshooting skills.
Ability to independently handle customer escalations and production issues.
Preferred Skills
Experience with BYOC, air-gapped, restricted-network, or enterprise data-center deployments.
Prometheus and Grafana.
OpenTelemetry.
ELK / OpenSearch.
Datadog.
GitOps and CI/CD.
Python or Golang scripting.
SRE practices, including SLIs, SLOs, DR, HA, and reliability engineering.
Multi-tenant SaaS environments.
AI/ML infrastructure or iPaaS platforms.
Candidate Profile
We are looking for someone who is comfortable working directly on production infrastructure and can troubleshoot issues across multiple layers rather than relying only on application or infrastructure-specific teams.
The candidate should be comfortable handling urgent production issues, customer escalations, deployments, and on-call responsibilities.
Interview Process
Technical Round 1
Technical Round 2
Final Cultural Fit Round
Pay: ₹2,046,429.60 - ₹5,096,702.24 per year
Application Question(s)
How many years of total DevOps experience do you have?
How many years of hands-on Kubernetes experience do you have?
Which cloud platforms have you worked with hands-on?
AWS
Azure
GCP
OCI
Multiple
Do you have hands-on experience with Helm?
Do you have hands-on experience with Terraform?
Have you independently handled production troubleshooting involving Kubernetes, networking, infrastructure, and application issues?
Have you worked on customer deployments in any of the following environments?
Which observability tools have you worked with?
Do you have experience with Python or Golang for DevOps automation?
Are you comfortable participating in on-call / shift rotations and handling critical production escalations outside regular working hours?
What is your current CTC?
Fixed CTC: ₹___ LPA
Variable CTC: ₹___ LPA
What is your expected CTC?
If your expected hike is above 40%, please explain the reason.
