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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.
⛽ Fuel Allowance 🏥 Medical Insurance 🍽 Free Lunch Facility (In-house) 🏋♂️ GYM Passport (Panel Gym's Free of Cost) 💰 Participatory Fund 💲 Market Competitive Salary 💻 Learning & Challenging Work Environment 👨💻 Amazing Work Culture 🛫 Paid Time off 👨👩👧👦 Group Life Insurance ⏳ Maternity Leaves and many more 3+ years in DevOps, Site Reliability, or Infra Engineering.
Hands-on with CI/CD (GitHub Actions, Jenkins, or GitLab CI) .
Strong in Docker, Kubernetes, Terraform, or Helm .
Familiar with monitoring tools (Prometheus, Grafana, ELK stack).
2-3 Years work Experience with Azure Cloud .
Preferred Qualifications Experience deploying ML pipelines into production environments.
Knowledge of cost-optimization and auto-scaling strategies in cloud infra.
Exposure to serverless (AWS Lambda, GCP Cloud Functions) .
Familiarity with security/compliance frameworks (SOC2, GDPR) .
You'll no longer be considered for this role and your application will be removed from the employer's inbox.