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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
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