Overview:

Own infrastructure, CI/CD, and reliability for AI systems.

Key Responsibilities:

- Implement IaC, CI/CD pipelines
- Manage cloud infrastructure and scaling
- Ensure security and compliance readiness

Qualifications:

- Experience
- 810 years DevOps/SRE
- Experience supporting data/ML or high-scale backend systems

- Cloud Expertise

- Robust AWS experience:
- Compute (EC2, Kubernetes, serverless)
- Networking, IAM, security

- Infrastructure as Code

- Deep experience with:
- Terraform (must-have)
- CI/CD tools (GitHub Actions, Jenkins, etc.)

- AI/ML Systems Awareness

- Experience supporting:
- GPU workloads or inference systems (nice to have)
- Data pipelines or batch/stream processing
- LLMops, MLops

- Reliability & Security

- Experience implementing:
- Monitoring, alerting, incident response
- Security controls (secrets, IAM, audit logs)

- Cost Optimization

- Ability to manage:
- Cloud spend (critical for LLM workloads)
- Scaling strategies

📌 Senior Engineer - DevOps (Bengaluru)
🏢 Suffolk Global
📍 Bengaluru