Devops Engineers - AWS / Azure - Manager

Overview

Lead DevOps workstreams across AWS and Azure environments within PwC's Data and Analytics Engineering practice, guiding teams on cloud infrastructure, automation, deployment pipelines and operational support.

What you'll do

• Lead DevOps workstreams across AWS and Azure environments to deliver data science and automation solutions
• Manage project plans, priorities, and timelines while coordinating technical delivery across client engagements
• Guide teams in building, testing, and deploying cloud-based pipelines, infrastructure, and machine learning workflows
• Apply infrastructure as code, containerization, and CI/CD methods to streamline release cycles and application reliability
• Monitor system performance, pipeline health, and deployment outcomes while resolving technical issues and production incidents
• Translate business needs into scalable platform designs that support analytics, AI, and data engineering use cases
• Coach team members on DevOps methods, cloud services, scripting, and platform administration
• Review technical work for consistency, security, and alignment with delivery requirements and client expectations
• Identify automation opportunities that improve delivery speed, repeatability, and operational efficiency
• Collaborate across technical and business teams to define solution approaches, manage dependencies, and support implementation

What you'll need

• At least a Bachelor's degree
• At least 8 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 in client-facing settings
• Leading project planning, budgeting, execution, and completion efforts
• Mentoring team members through review cycles and coaching
• Applying system thinking across linked technical components and workflows
• Managing quality, timelines, and deliverables across multiple workstreams
• Advanced Infrastructure as Code
• Kubernetes Cluster Management
• CI/CD Architecture Design
• AWS/Azure Advanced Services
• Terraform Advanced
• Security Architecture
• Monitoring & Observability