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 clear focus on automation, reliability, and secure delivery.
ResponsibilitiesKey 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.
- 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
Skills Required
- 3 to 6 years relevant experience in AI platform enablement, DevOps, Cloud Engineering, or related roles
- Proven experience supporting production workloads on Microsoft Azure
- Hands-on experience with CI/CD automation (Azure DevOps Pipelines, GitHub Actions) and YAML-based pipelines
- Experience deploying and operating Azure Kubernetes Service (AKS) using Docker and Helm
- Experience with Azure Data Factory and Databricks to enable ETL/MLOps pipelines
- Knowledge of Azure infrastructure services (App Service, Virtual Machines, VNet, ADLS Gen2, Azure SQL Database, ACR)
- Experience implementing secrets management and secure configuration using Azure Key Vault
- Experience monitoring platform health using Azure Monitor and Log Analytics
- Experience with performance and load testing using JMeter or BlazeMeter
- Proficiency with scripting and automation: Bash, PowerShell, and basic Python
- Bachelor's degree (Engineering, Computer Science, or related)
- Experience working in Agile/Scrum teams and strong collaboration/communication skills
- Ability to manage CI/CD, cloud-native architectures, automation, reliability, and cost optimization
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
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