Job Description
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 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)
Benefits
⛽ 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
