Devops Engineers - AWS / Azure - Senior Associate

Overview

Support client-facing data and analytics engineering work within PwC's Technology Consulting practice, designing and delivering cloud-based DevOps solutions across AWS and Azure as a Senior Associate.

What you'll do

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

What you'll need

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

Nice to have

• 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
• Experience with AWS/Azure Services, Infrastructure as Code (Terraform), CI/CD Pipelines, Docker and Kubernetes, Monitoring and Logging, Security Best Practices, and Automation