Lead DevOps Engineer

Lenskart; Gurugram District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Lenskart is seeking a Platform & Cloud Engineer with strong Linux, networking, and distributed systems skills. You will design cloud-native platforms, manage Kubernetes, and implement IaC using Terraform and configuration tools to boost developer productivity.

Responsibilities include defining SLOs/SLIs, incident response, CI/CD automation, and observability with Prometheus, Grafana, and OpenTelemetry. Production-grade practices and collaboration with security are expected.

Qualifications

• 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.

Responsibilities

• Design and operate cloud-native platforms that abstract complexity and improve developer productivity.
• Own Kubernetes clusters, networking, service orchestration, and workload reliability.
• Build and evolve secure, automated CI/CD pipelines using GitOps principles.
• Enable safe, frequent production deployments with strong rollback and observability.
• Review infrastructure and architecture for scale, resilience, and cost efficiency.
• Champion DevOps, SRE, and cloud-native best practices across the organization.

Skills

Linux

Networking

Distributed systems

Python

Go

Git

Kubernetes

AWS

Helm

Terraform

Ansible

CI/CD

GitOps

ArgoCD

Prometheus

Grafana

OpenTelemetry

Datadog

PostgreSQL

MySQL

MongoDB

Kafka

Elasticsearch

Redis

Tools

Docker

GitHub Actions

Jenkins

GitLab CI

Job description

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.