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Senior Analyst | Engineering, AI & Data - Engineering | Azure
Deloitte
· Bengaluru, India
Posted July 30, 2026 via Deloitte
Senior Analyst | Engineering, AI & Data - Engineering | Azure
• Job requisition ID : 106649
• Location: Bengaluru
• Entity: Deloitte Touche Tohmatsu India LLP
Senior Analyst | Engineering, AI & Data - Engineering | Azure
Location: Bangalore
The Team
Engineering helps Reimagine and re-engineer mission-critical operations and processes; Leverage engineering-led design, deep industry knowledge, and AI and data-driven insights to transform the technology platforms at the heart of business.
Working alongside team, we empower and drive mission-critical solutions whether we need to modernize existing systems or implement new technology products and platforms. Through innovation, we improve financial performance, accelerate new digital businesses and fuel growth. Learn more about Engineering, AI and Data
Your work profile
Apply DevOps best practices to support application development and deployment.
Build and maintain CI/CD pipelines using Azure DevOps and GitHub Actions.
Support application deployments across Azure environments (Dev, UAT, Prod).
Participate in Agile ceremonies including sprint planning, stand-ups, and retrospectives.
Perform peer reviews for code, configurations, and pipeline changes.
Contribute to process improvements and automation initiatives.
Collaborate with development, testing, and infrastructure teams to ensure smooth delivery.
Typical Responsibilities (First 3–6 Months)
Support CI/CD pipeline setup and enhancements
Assist in Azure deployments and environment setup
Participate in release and deployment activities
Handle L2-level support issues for cloud environments
Contribute to automation and documentation
Key Responsibilities:
CI/CD & Automation
Develop and maintain CI/CD pipelines using: Azure DevOps (Pipelines, Repos, Artifacts)
GitHub Actions (preferred) Automate build, test, and deployment processes
Cloud & Infrastructure
Provision and manage Azure infrastructure: Virtual Machines, App Services, Storage, Azure SQL
Work with Infrastructure as Code tools: Terraform / ARM Templates / Bicep (basic to intermediate level)
Containers & Kubernetes
Support containerized deployments using: Docker
Kubernetes (AKS – basic exposure)
Assist in deploying microservices using Helm or YAML configurations
Monitoring & Support
Monitor applications using: Azure Monitor, Log Analytics, Application Insights
Troubleshoot deployment and infrastructure issues
Support release cycles and production deployments
Security & Compliance
Follow security best practices in pipelines and infrastructure
Work with: Azure AD, RBAC (basic level)
Manage secrets using Azure Key Vault
Key skills required
Education: Any bachelor’s or master’s degree
2–4 years of experience in DevOps / Cloud Engineering
Hands‑on experience with: Azure DevOps (Pipelines, Repos) Git version control
Basic knowledge of: Infrastructure as Code (Terraform / ARM / Bicep)
Familiarity with: Docker and Kubernetes concepts
Scripting skills in: PowerShell / Bash / Python
Good to have
Exposure to Azure services: App Service, AKS, Functions, Storage, SQL
Understanding of: Git branching strategies (GitFlow / trunk-based)
Experience with monitoring and logging tools
Basic knowledge of DevSecOps practices
Soft Skills
Strong communication and collaboration skills
Problem-solving and analytical thinking
Ability to work in a fast-paced Agile environment
Willingness to learn and adopt new technologies