Lead Engineer - DevOps

Team: AI/ML

Location: Chennai

Commitment: Full-Time

Workplace Type: onsite

Requirements:

• 7+ years of hands-on experience in development or operations (developing, implementing and optimizing DevOps processes and practices) on Azure  

• Must have 3+ years of experience of owning deployment of microservices architectures based solutions on Azure Cloud Services with experience in AKS, ASB, App Services, App Insights etc 

• Must have 3+ years of experience in Azure, GitHub, Azure DevOps,  GitHub Actions, Linux shell script and python 

• Strong experience in implementing and managing containers and orchestration (Docker, Kubernetes) on Azure 

• Good Knowledge on Grafana, Prometheus, Loki and similar tools to develop, implement and automate monitoring and logging 

• Excellent interpersonal skills  

• Azure DevOps or Cloud Certification is a great plus 

• Exposure/experience with MLOps and/or LLMOps on Azure is a great plus 

• Familiarity with AI, ML, GenAI concepts is a great plus 

Responsibilities:

• Responsible for creating, optimizing and implementing DevOps and deployment strategies partnering with engineering teams  

• Responsible for maintaining and updating CI/CD pipelines 

• Responsible for monitoring and optimizing cloud resources to enhance performance and cost-efficiency 

• Responsible and accountable to handle critical support and deployment requests, collaborating with multiple other teams such as IT, SaaS, and test teams for effective resolutions 

• Responsible for creating and implementing deployment strategies for various deployment scenarios, minimizing deployment risk, downtime, and user impact 

• Own and drive the evaluation and adoption of Azure cloud tools and technologies 

• Own and be accountable for the Performance, Scalability, Reliability and Sustainability of cloud deployments. 

• Set up robust observability (logging, metrics, and tracing) and embed DevSecOps practices into the development lifecycle