DevOps Engineer

3 weeks ago

uttar pradesh, India crenovent Full time

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) , Node.js, 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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