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DevOps Engineer

Location

Greater Chennai Area

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

Reliance Industries Limited

Website: ril.com
Job details:

We are looking for a skilled DevOps Engineer to build and manage scalable AI infrastructure and deployment pipelines. The ideal candidate will be responsible for creating a seamless transition from model experimentation to production while managing modern LLMOps practices such as prompt versioning, vector database management, and monitoring AI system performance.


Key Responsibilities:


  • Design and maintain CI/CD pipelines using tools like GitHub Actions, GitLab CI, or Azure DevOps for backend services and AI agents
  • Build automated pipelines to run performance benchmarks before code merges
  • Manage and orchestrate LLM deployments (via APIs or self-hosted open-source models)
  • Maintain and scale vector databases for RAG-based systems with optimized indexing
  • Implement version control for prompts and model configurations
  • Automate infrastructure using Terraform or similar tools
  • Manage Docker & Kubernetes (K8s) for scalable microservices deployment
  • Set up monitoring systems using Prometheus, Grafana, and ELK stack
  • Implement AI observability using tools like LangSmith and Arize Phoenix
  • Monitor API usage, token costs, and implement caching strategies
  • Ensure secure API key management and network-level security for AI systems


Required Skills:


  • Strong hands-on experience with Docker & Kubernetes (K8s)
  • Proficiency in Terraform for infrastructure automation
  • Experience with Azure DevOps (Repos & CI/CD pipelines)
  • Monitoring tools: Prometheus, Grafana, ELK Stack
  • AI monitoring tools: LangSmith, Arize Phoenix
  • Strong scripting skills in Python & Bash
  • Knowledge of ETL processes and streaming systems (Kafka / RabbitMQ)
  • Solid understanding of cloud infrastructure (AWS/Azure/GCP)
Click on Apply to know more.

Skills

Python
AWS
Azure
backend
Bash
caching
CI
cloud infrastructure
database
DevOps
Docker
ETL
GCP
GitHub
K8s
Kafka
Kubernetes
microservices
RabbitMQ
Terraform
version control