Job Title:  T&T | EAID | Engineering | Senior Consultant | Site Reliability Engineering | Bengaluru

Your potential, unleashed.

India’s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realize your potential amongst cutting edge leaders, and organizations shaping the future of the region, and indeed, the world beyond.

At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters

What impact will you make? 

Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration and high performance. As the undisputed leader in professional services,

Deloitte is where you will find unrivaled opportunities to succeed and realize your full potential.

The Team 

Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.

Role – Senior Consultant 

Total experience - 6+ Years

Preferred Location – Bengaluru

Education – Bachelor's Degree

Must have skills - DevOps, Site reliability engineer, CI/CD, Databrick.

A DevOps Engineer in the analytics and cloud ecosystem designs, automates, and optimizes end‑to‑end CI/CD pipelines to ensure reliable, scalable, and secure delivery of data and ML workloads. This role requires strong expertise in Azure DevOps, multi‑stage YAML pipelines, and Databricks deployment automation (DAB), along with deep understanding of cloud infrastructure, environment promotion, and operational best practices. With 6+ years of experience, the engineer drives release engineering, environment governance, and DevOps standards across Azure, enabling high‑quality, consistent, and repeatable deployments for modern data platforms.

Key Responsibilities

CI/CD & Automation

• Design, build, and maintain multi-stage Azure DevOps CI/CD pipelines using YAML.
• Develop and manage automated deployment pipelines for Azure Databricks using Databricks Asset Bundles (DAB).
• Automate environment promotions across dev → staging → production.
• Implement versioning, artifact management, and structured release flows.
• Integrate pipelines with Azure ecosystem components (identity, networking, storage).

Collaboration & Best Practices

• Work closely with Data Engineers, Data Platform teams, and ML Engineers to streamline delivery workflows.
• Implement DevOps best practices, including idempotent deployments, validation gates, and rollback strategies.
• Ensure compliance, governance, and consistency across environments.

Requirements (Must-Have)

• Strong experience building and managing Azure DevOps YAML pipelines.
• Deep understanding of CI/CD concepts (stages, gates, approvals, environments).
• Hands-on experience with Azure Databricks.
• Proficiency with Databricks CLI (v0.200+) and Databricks Asset Bundles (databricks.yml).
• Experience with artifact management and automated deployment systems.
• Strong scripting skills using Python and/or Bash.

Nice to Have

• Experience with Terraform (Azure + Databricks provider).
• Hands-on with Azure Key Vault for secrets management.
• Familiarity with Unity Catalog (governance, permissions).
• Knowledge of Workload Identity / Managed Identity for secretless deployments.
• Understanding of Azure networking (Private Endpoints, VNet, DNS).
• Exposure to monitoring tools (Grafana, Prometheus, Azure Monitor).
• Awareness of Databricks cost optimization (cluster policies, job clusters).

Tech Stack

• Azure: Databricks, Storage, Networking, Identity
• Azure DevOps: Repos, Pipelines, Artifacts
• Databricks Asset Bundles (DAB)
• Python / Bash
• Terraform (preferred)

How you will grow 

At Deloitte our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there is always room to learn. We offer opportunities to help build excellent skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career.

Benefits 

At Deloitte we know that great people make a great organization. We value our people and offer employees a broad range of benefits.

Our purpose Deloitte is led by a purpose: To make an impact that matters. Every day, Deloitte people are making a real impact in the places they live and work. We pride ourselves on doing not only what is good for clients, but also what is good for our people and the Communities in which we live and work—always striving to be an organization that is held up as a role model of quality, integrity, and positive change

Recruiter tips 

We want job seekers exploring opportunities at Deloitte to feel prepared and confident. To help you with your interview, we suggest that you do your research: know some background about the organization and the business area you are applying to.