Overview
We need a DevOps Engineer to ensure our ML models, APIs, and dashboards run seamlessly across development, staging, and production. You\'ll own CI / CD, infrastructure automation, and monitoring to help us scale rapidly without breaking things.
Responsibilities
- Set up and maintain CI / CD pipelines for backend, frontend, and ML models
- Deploy services across cloud environments (AWS / GCP / Azure) with security best practices
- Implement monitoring, logging, and alerting systems for uptime and performance
- Manage containerization (Docker, Kubernetes) for model deployment
- Ensure scalability strategies for MVP → Pilot → Production
Requirements
3+ years in DevOps, Site Reliability, or Infra EngineeringHands-on with CI / CD (GitHub Actions, Jenkins, or GitLab CI)Strong in Docker, Kubernetes, Terraform, or HelmFamiliar with monitoring tools (Prometheus, Grafana, ELK stack)2-3 Years work Experience with Azure Cloud.Preferred Qualifications
Experience deploying ML pipelines into production environmentsKnowledge of cost-optimization and auto-scaling strategies in cloud infraExposure to serverless (AWS Lambda, GCP Cloud Functions)Familiarity with security / compliance frameworks (SOC2, GDPR)Benefits
Fuel AllowanceMedical InsuranceFree Lunch Facility (In-house)GYM Passport (Panel Gym\'s Free of Cost)Participatory FundMarket Competitive SalaryLearning & Challenging Work EnvironmentAmazing Work CulturePaid Time offGroup Life InsuranceMaternity Leaves and many more#J-18808-Ljbffr