Devops Engineers - AWS / Azure - Manager Pharma/Lifescience/Healthcare

PwC; Hyderabad, Chennai District, Bengaluru; Hybrid; INR 1,500,000 - 2,300,000; Full time

Job summary

PwC in Hyderabad, India, is seeking a senior DevOps lead to drive AWS and Azure delivery, build data science and automation pipelines, and scale cloud-based platforms across client engagements. You will guide teams through infrastructure as code, CI/CD, containerization, and monitoring, translating business needs into reliable, scalable solutions while mentoring colleagues and ensuring quality.

The role requires leading cross-functional workstreams, delivering on time, and maintaining high

Qualifications

• Experience delivering AWS and Azure DevOps in client-facing settings.

Responsibilities

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

Skills

AWS DevOps delivery

Azure DevOps delivery

Infrastructure as Code

CI/CD Architecture

Monitoring/Observability

Security Architecture

Mentoring/Coaching

System Thinking

Team Leadership

Cloud-native design

Tools

Terraform

Kubernetes

CI/CD tools

Job description

Role & responsibilities

Responsibilities

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

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 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