PwC
Devops Engineers - AWS / Azure - Senior Associate
India · Work style not stated · Full time
Apply on the employer’s site ↗See how well you match this job
You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.
About the role
Description from the employer’s posting. Check the employer’s page for the current version.
- EmployerPwC
- LocationIndia
- Work styleWork style not stated
- Employment typeFull time
- Employer posted
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.
Show full description
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
Check your resume against this job Free, no sign-up. Nothing you paste is stored.
Staying safe while you apply
- Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
- Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
- Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.
Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.
Preparing for this role with ROLIVA
- Check the fit.
Compare the requirements with the experience you have confirmed, including gaps.
- Prepare honestly.
Build interview stories and application drafts from your own evidence.
- Keep track.
Save the role and record your own application status and follow-ups.
At a glance
- Employment typeFull time
- SenioritySenior
- Employer posted
- Added to ROLIVA
- Last checked
Skills in this posting
Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.
SQL Python AWS Azure Kubernetes Docker Terraform Machine learning