DevOps Engineer

4 hours ago

Noida, Uttar Pradesh, India crenovent Full time ₹ 11,00,000 - ₹ 14,50,000 per year

About the job

Location - Noida

We're building an AI-driven, real-time enterprise operations platform and are looking for a
Lead DevOps
who brings
strong Azure DevOps expertise
with a solid
full-stack engineering background (Python + React)
.

This role is DevOps-first, but your full-stack understanding will help drive smarter automation, better CI/CD pipelines, and high-reliability engineering across the platform.

Candidates who are available to join immediately (or at short notice) will be given preference.

What You Will Lead

  • Architect and scale CI/CD pipelines for microservices deployed on
    Azure Kubernetes Service (AKS)
    using
    Terraform + GitOps (ArgoCD)
  • Own DevOps & SRE frameworks including deployments, reliability engineering, self-healing systems, and incident readiness
  • Lead observability efforts with
    Grafana, Azure Monitor, distributed tracing, and structured logging
  • Define and enforce SLOs, SLIs, runbooks, and reliability automation practices
  • Collaborate closely with backend, frontend, data, and automation teams—leveraging your full-stack knowledge to align infrastructure with application needs
  • Contribute to architectural reviews across services built with
    Python (FastAPI)
    , , React, and Postgres
  • Implement scalable, secure, cost-efficient cloud environments and FinOps best practices (Kubecost + Azure telemetry)

Primary Expertise — DevOps & SRE

  • Deep hands-on experience with Azure Cloud: AKS, Event Hubs, VNets/security, Azure Postgres, Azure Storage
  • CI/CD experience with GitHub Actions or Azure DevOps; Infrastructure-as-Code via
    Terraform
  • Strong command of containers, service meshes, secrets management, and cloud security hardening
  • Expertise with monitoring, logging, tracing, alerting, and operational dashboards
  • Familiarity with distributed systems, microservices reliability, and performance tuning
  • Ability to transform infrastructure into an
    automated, resilient, self-recovering system

Secondary Expertise — Full-Stack Engineering & ML Ops

  • Experience in application development across frontend and backend
  • Good to have a working understanding of ML Ops
  • Strong familiarity with
    Python (FastAPI)
    and modern JavaScript frameworks (React, Tailwind)
  • Ability to review, debug, and optimize application code to enhance CI/CD, observability, and performance
  • Experience with APIs, caching, Postgres, serialization, and microservice communication patterns
  • A developer-first mindset applied to DevOps tooling and workflows

Why This Role Is Unique

  • DevOps/SRE leadership with meaningful involvement in full-stack engineering
  • High impact on platform design, reliability, automation, and developer workflow experience
  • Work at the intersection of infrastructure, real-time data, full-stack engineering, and applied AI
  • Drive the DevOps→SRE maturity for a next-gen, cognitive automation platform

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