T&T | EAD | Senior Consultant | Azure | Engineering | HCE

• Job requisition ID : 106519
• Location: Bengaluru
• Entity: Deloitte Touche Tohmatsu India LLP

Consultant | Azure Infrastructure

As an experienced Consultant at Deloitte Consulting, you will be responsible for individually delivering high quality work products within due timelines. Need-basis you will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements.

Work you’ll do:

Apply industry knowledge to requirements gathering and analysis, ensuring alignment with sector needs. Demonstrate expertise across the entire software development lifecycle, from design and coding to deployment and defect resolution, collaborating with stakeholders for effective delivery. Conduct peer and team reviews to maintain quality standards. Actively engage in Agile practices, including sprint planning, retrospectives, and effort estimation. Build and share business process knowledge, supporting project knowledge management and team training. Proactively recommend process improvements, track efficiency gains, and contribute to automation and innovation, all aimed at enhancing project outcomes and delivering greater value to clients.

The team:

Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models—traditional teams, pools, or pods—are tailored to each client’s needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Key Responsibilities:

• Design and implement Azure Landing Zones and multi-subscription architecture.

• Provision and manage Azure resources using Infrastructure as Code (IaC) tools such as Terraform, Azure Resource Manager (ARM) templates/Bicep, and Ansible.

• Configure auto-scaling, auto-provisioning, and optimize resource utilization across Azure services (VM Scale Sets, AKS, App Service autoscale).