Devops Engineers - AWS / Azure - Senior Associate

location_onBangalorescheduleieri
trending_upLivello di esperienza:Anziano
badgeOccupazione:A tempo pieno
historyEsperienza minima:4+ anni
schoolIstruzione:Laurea triennale

Descrizione del lavoro

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

The Opportunity

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.

As a Devops Engineers - AWS / Azure - Senior Associate you will support client-facing data and analytics engineering work within our Technology Consulting practice, helping design and deliver cloud-based solutions that turn data into actionable insights. As a Senior Associate you will analyze complex problems, manage assigned workstreams, build client relationships, and guide junior team members while applying critical thinking, technical skills, and a deeper understanding of business context. In this role at PwC Acceleration Center India, you will contribute to AWS and Azure DevOps activities across development, deployment, monitoring, and maintenance, while using a broad range of tools and methods to address changing priorities and deliver dependable work across client engagements.

Responsibilities

  • Developing and deploying cloud-based DevOps pipelines across AWS and Azure environments for data and analytics engineering solutions
  • Automating infrastructure provisioning, application delivery, and environment configuration using scripting and infrastructure as code tools
  • Monitoring system performance, deployment activity, and pipeline reliability to identify issues and support timely resolution
  • Collaborating with client teams to gather requirements, translate technical needs into delivery workstreams, and adapt solutions to changing priorities
  • Applying data science and analytics knowledge to support scalable solutions, model deployment, and workflow optimization
  • Reviewing code, deployment scripts, and pipeline components to validate quality, security, and alignment with technical standards
  • Interpreting operational data and incident trends to recommend improvements in release processes, stability, and delivery efficiency
  • Mentoring junior team members, sharing technical approaches, and supporting assigned tasks across active client engagements

What You Must Have

  • At least a Bachelor's degree
  • At least 4 years of experience
  • Oral and written proficiency in English required

What Sets You Apart

  • Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering
  • Demonstrating AWS and Azure DevOps delivery across client engagements
  • Applying data engineering, data modeling, and pipeline automation skills
  • Using Python, SQL, and scripting for deployment workflows
  • Interpreting analytics to guide recommendations and technical decisions
  • Mentoring junior team members while navigating ambiguity
  • - AWS/Azure Services
  • Infrastructure as Code (Terraform)
  • CI/CD Pipelines
  • Docker & Kubernetes
  • Monitoring & Logging
  • Security Best Practices
  • Automation
  • Travel Requirements
  • Not Specified
  • Job Posting End Date

Competenze menzionate

Candidati per questo lavoro

Use the application link supplied with this listing to apply to pwc. Check the destination before entering personal information.