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Lead DevOps Engineer

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Onsite

Lead DevOps Engineer

Lenskart

Lead DevOps Engineer

Skills

Google Cloud PlatformMongoDBPythonGolangPostgreSQLMySQLKafkaRedisGitLabJenkinsDatadogGrafanaAWSElasticsearchAnsiblePrometheusGitHubLinuxKubernetesTerraformAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Gurugram, Haryana, India

Work mode:

Onsite

Published on:

10 August 2026

What they need


Role & responsibilities

Platform & Cloud Engineering

  • Design and operate cloud-native platforms that abstract complexity and improve developer productivity
  • Build reusable, opinionated infrastructure using Infrastructure-as-Code
  • Own Kubernetes clusters, networking, service orchestration, and workload reliability

Reliability Engineering

  • Define and drive SLIs, SLOs, and error budgets for business-critical services
  • Participate in on-call rotations, lead incident response, and write clear, blameless RCAs
  • Continuously reduce operational toil through automation and engineering solutions

CI/CD & DevOps

  • Build and evolve secure, automated CI/CD pipelines using GitOps principles
  • Enable safe, frequent production deployments with strong rollback and observability
  • Partner with application teams to embed reliability and operational excellence early in the lifecycle

Observability & Operations

  • Implement best-in-class logging, metrics, tracing, and alerting
  • Ensure alerts are actionable and aligned with service health not noise
  • Build dashboards, runbooks, and self-healing mechanisms to improve MTTR.

Architecture & Collaboration

  • Work closely with software engineers, architects, and security teams to influence system design
  • Review infrastructure and architecture through the lens of scale, resilience, and cost efficiency
  • Champion DevOps, SRE, and cloud-native best practices across the organization.

Preferred candidate profile

Core Engineering

  • Strong foundations in Linux, networking (DNS, TCP/IP), and distributed systems
  • Proficiency in Python or Go for automation and tooling
  • Clean Git practices and strong software-engineering discipline

Cloud & Containers

  • Hands-on experience with AWS (primary); exposure to GCP or Azure is a plus
  • Required strong experience operating Kubernetes in production environments
  • Required experience with Helm and containerized workloads at scale.

Infrastructure & Tooling

  • Required Infrastructure-as-Code using Terraform
  • Preferred configuration and automation using Chef / Ansible
  • CI/CD & GitOps: ArgoCD, GitHub Actions, Jenkins, or GitLab CI.

Observability & Reliability

  • Metrics and alerting: Prometheus, Grafana, Alertmanager
  • Tracing / APM: Datadog, New Relic, OpenTelemetry
  • Incident management experience (PagerDuty or equivalent)

Data & Messaging (Working Knowledge)

  • Datastores: PostgreSQL, MySQL, MongoDB
  • Streaming and search: Kafka, Elasticsearch
  • Caching: Redis.

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