Sr. Devops Lead

Artech Infosystems Private Limited; India; Remote; INR 4,000,000 - 7,000,000; Full time

Job summary

Artech Infosystems Private Limited seeks an experienced DevOps/SRE engineer with 9+ years of hands-on experience. You will manage Kubernetes operations at scale, architect multi-cloud infrastructure, and build automation for cross-team use.

The role requires strong skills in Python/Go/Bash, cloud architecture decisions, and advanced debugging of distributed systems. You will mentor engineers and influence technical direction across teams.

Qualifications

• 9+ years of DevOps, SRE, or Infrastructure Engineering experience.
• Hands-on Kubernetes operations expertise including cluster upgrades and multi-cluster troubleshooting.
• Strong programming in Python, Go, Bash, or similar for automation.
• Advanced skills in reading logs and metrics to diagnose complex issues across systems.
• Extensive experience with cloud infra (AWS, GCP, Azure) and cost/performance tradeoffs.
• Expert-level debugging across distributed systems and root-cause analysis.
• Excellent written and verbal communication; capable of influencing technical direction.
• Mentoring engineers and leading technical initiatives.

Responsibilities

• Lead architecture decisions for infrastructure platforms.
• Maintain and scale Kubernetes across clusters and regions.
• Develop and maintain automation and internal tooling.
• Design observability, SLOs, and alerting frameworks.
• Mentor engineers and drive technical initiatives across teams.

Skills

DevOps

SRE

Kubernetes

Automation

Python

Go

Bash

Monitoring

Logging

Communication

Mentoring

Technical leadership

Tools

Terraform

Helm

Ansible

Jenkins

GitHub Actions

Spinnaker

ArgoCD

Flux

Prometheus

Grafana

Datadog

Job description

9 + years of DevOps, SRE, or Infrastructure Engineering experience

Deep, hands-on Kubernetes operations expertise — cluster upgrades, node group management, and complex troubleshooting across large-scale, multi-cluster environments

Strong programming/ ing skills (Python, Go, Bash, or similar) — proven track record building, scaling, and maintaining automation and internal tooling used by multiple teams

Advanced skills in reading and interpreting logs, metrics, and system state to diagnose complex, cross-system infrastructure issues

Extensive experience with cloud infrastructure (AWS, GCP, or Azure), including architecture decisions and cost/performance tradeoffs

Expert-level debugging skills across distributed systems — able to trace failures from symptom through to root cause in highly complex environments

Excellent written and verbal communication — able to produce clear status updates, bug reports, technical documentation, and influence technical direction across teams

Demonstrated experience mentoring engineers and leading technical initiatives

Preferred

Deep experience with infrastructure-as-code tools (Terraform, Helm, Ansible), including designing reusable modules/patterns for org-wide use

Strong familiarity with CI/CD systems (Jenkins, GitHub Actions, Spinnaker, or similar), including pipeline architecture Hands-on experience with GitOps workflows (ArgoCD, Flux) at scale

Advanced experience with observability stacks (Prometheus, Grafana, Datadog), including designing alerting/SLO frameworks

Proven experience operating Kubernetes at scale across multiple clusters, regions, or environments, including capacity planning and disaster recovery

Experience contributing to or leading architectural decisions for infrastructure platforms