Company Description

WNS, part of Capgemini, is an Agentic AI-powered leader in intelligent operations and transformation, serving more than 700 clients across 10 industries, including Banking and Financial Services, Healthcare, Insurance, Shipping and Logistics, and Travel and Hospitality. We bring together deep domain excellence – WNS’ core differentiator – with AI-powered platforms and analytics to help businesses innovate, scale, adapt and build resilience in a world defined by disruption.

Our purpose is clear: to enable lasting business value by designing intelligent, human-led solutions that deliver sustainable outcomes and a differentiated impact. With three global headquarters across four continents, operations in 13 countries, 65 delivery centers and more than 66,000 employees, WNS combines scale, expertise and execution to create meaningful, measurable impact.

Why Join Us?

We promise our employees to experience role clarity, coaching and mentoring, professional development and structured career path through our 5 people promises and keeping employee experience at the core. Experience the culture of Outperformance, engagement, celebration and enjoy wide variety of best in class benefits including free HMO coverage for self and dependent from Day 1; Also contribute to society through our WNS Cares Foundation, where you have the opportunity to support meaningful initiatives and make an impact in the community.

Job Description

DevOps Engineer

We are looking for a DevOps Engineer with 4 to 5 years of experience to build and run release pipelines for an enterprise finance data platform on Azure, Databricks and Snowflake. You will automate the deployment of infrastructure, data pipelines and reports so that changes move safely and consistently from development to production.

Key Responsibilities

Build and maintain CI/CD pipelines in Azure DevOps

Automate deployment of Databricks code, jobs and workflows using Databricks Asset Bundles

Automate deployment of Snowflake objects and schema changes

Automate deployment of Azure Data Factory pipelines and Power BI content

Write and maintain infrastructure as code in Terraform or Bicep

Manage branching strategy, release process and environment promotion

Build automated checks into pipelines, including tests, code quality and security scans

Manage secrets and service connections through Key Vault

Monitor pipeline runs and fix deployment failures

Document release procedures and support change management

Technical Skills

Must-have

Azure DevOps Repos and Pipelines, including YAML

Terraform or Bicep

Git

Databricks deployment using Asset Bundles or CLI

PowerShell, Bash or Python

Good-to-have

Snowflake schema change tools such as schemachange

Power BI deployment pipelines

Azure Data Factory CI/CD

Azure Monitor

DOMAIN KNOWLEDGE

Change and release controls in regulated financial services

Segregation of duties for production deployments

CERTIFICATIONS (GOOD TO HAVE)

Microsoft Certified: DevOps Engineer Expert (AZ-400)

HashiCorp Certified: Terraform Associate

Experience And Qualifications

4 to 5 years in DevOps or build and release, with at least 2 years on Azure DevOps

Automated deployments for a data platform

Degree in engineering or computer applications (B.E., B.Tech or MCA)

Qualifications

Degree in engineering or computer applications (B.E., B.Tech or MCA)

WNS

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