Description A results-driven AI Engineer with strong DevOps and Cloud Engineering expertise to support the design, deployment, and operation of scalable, production-grade AI and data platforms on Microsoft Azure. The ideal candidate brings hands-on experience working at the intersection of DevOps, cloud infrastructure, and machine learning enablement, with a transparent focus on automation, reliability, and secure delivery.

Responsibilities

Key Responsibilities

- Build, manage, and optimize CI/CD pipelines using Azure DevOps and GitHub Actions for AI, data, and application workloads.
- Deploy and operate AI-enabled and data platforms on Azure Kubernetes Service (AKS) using Docker and Helm.
- Provision and manage Azure infrastructure including compute, networking, storage, and security services.
- Enable MLOps and data pipelines by supporting ETL workflows using Azure Data Factory and Databricks.
- Implement secure configuration and secrets management using Azure Key Vault.
- Monitor platform health, performance, and availability using Azure Monitor and Log Analytics.
- Conduct performance and load testing using JMeter / BlazeMeter and drive optimization actions.
- Collaborate with ML engineers to support model packaging, versioning, deployment, and monitoring in production.
- Support Agile delivery through automation, release coordination,



and continuous improvement.
- Track and optimize cloud infrastructure costs across environments.

Qualifications

- 3 to 6 years of relevant experience in AI platform enablement, DevOps, Cloud Engineering, or related roles
- Proven experience supporting production workloads on Microsoft Azure
- Hands-on exposure to CI/CD automation, container platforms, and cloud-native architectures

Education

- Bachelor’s degree required (Engineering, Computer Science, or related discipline preferred)
- Technical Skills
- Azure DevOps Pipelines and GitHub Actions
- YAML-based CI/CD automation
- Azure Kubernetes Service (AKS)
- Docker and Helm
- Azure App Service, Virtual Machines, VNet
- Azure Data Lake Storage (ADLS Gen2)
- Azure SQL Database
- Azure Container Registry (ACR)
- Azure Key Vault
- Azure Data Factory and Databricks
- Azure Monitor and Log Analytics
- Bash, PowerShell, Python (basic)

- Professional Skills
- Strong problem-solving and analytical mindset
- Excellent collaboration and stakeholder communication skills
- Experience working in Agile / Scrum teams
- High ownership, accountability, and execution focus
- Ability to work across DevOps, data, and AI engineering domains
- Continuous improvement and automation-first mindset

📌 Manager - AI Engineering (Bengaluru)
🏢 EXL
📍 Bengaluru