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).
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