IN-Senior Associate_GCP DevOps Engineer_Data and Analytics_Advisory_Bengaluru

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Responsibilities:

Job Summary: As a skilled GCP DevOps Engineer, you will be responsible for designing, implementing, and managing CI/CD pipelines, cloud infrastructure automation, and site reliability practices on Google Cloud Platform. You will work closely with development, data, and security teams to ensure seamless, secure, and highly available deployments of applications and services on GCP. Core Responsibilities: · Design, build, and maintain CI/CD pipelines using tools such as Cloud Build, Jenkins, GitLab CI/CD, or GitHub Actions for automated build, test, and deployment workflows · Provision, manage, and optimise GCP infrastructure using Infrastructure as Code (IaC) tools such as Terraform and Deployment Manager · Manage and operate Google Kubernetes Engine (GKE) clusters — deployment, scaling, monitoring, and troubleshooting of containerised workloads · Implement and maintain containerisation strategies using Docker and Kubernetes for microservices and application deployments · Monitor infrastructure, applications, and services using GCP Cloud Monitoring, Cloud Logging, and Cloud Trace — set up dashboards, alerts, and SLOs/SLIs · Ensure security and compliance of cloud infrastructure by implementing IAM policies, VPC configurations, firewall rules, Secret Manager, and security hardening practices · Collaborate with development teams to adopt GitOps practices and enforce branching strategies, code review processes, and release management standards · Manage GCP networking components — VPC, subnets, Cloud Load Balancing, Cloud DNS, Cloud Interconnect, and VPN configurations · Drive cost optimisation initiatives by monitoring GCP resource usage, rightsizing workloads, and implementing budget alerts · Support disaster recovery (DR) and business continuity planning — design backup strategies, failover mechanisms, and runbooks

Mandatory skill sets:

· Strong hands-on experience with GCP core services — Compute Engine, GKE, Cloud Run, Cloud Storage, Cloud SQL, Pub/Sub, and Cloud Functions · Proficiency in Infrastructure as Code (IaC) using Terraform for GCP resource provisioning and lifecycle management

· Hands-on experience designing and managing CI/CD pipelines using Cloud Build, Jenkins, GitLab CI/CD, or GitHub Actions · Strong expertise in containerisation and orchestration — Docker and Kubernetes (GKE) · Experience with GCP IAM, service accounts, roles, and permissions management for secure access control · Proficiency in scripting and automation using Python for infrastructure and operational tasks · Working knowledge of GCP networking — VPCs, subnets, firewall rules, Cloud Load Balancing, and DNS management · Experience with GCP monitoring and observability tools — Cloud Monitoring, Cloud Logging, Cloud Trace, and Error Reporting · Solid understanding of DevSecOps principles — integrating security checks, vulnerability scanning, and compliance into CI/CD pipelines · Familiarity with Git and version control workflows — branching strategies, pull requests, and release management

Preferred skill sets:

· Google Professional Cloud DevOps Engineer certification · Familiarity with multi-cloud environments (GCP + AWS/Azure) and hybrid cloud connectivity · Exposure to service mesh technologies such as Istio or Anthos Service Mesh on GKE · Knowledge of SRE (Site Reliability Engineering) principles — SLOs, SLIs, error budgets, and toil reduction · Experience with log management and SIEM tools such as Splunk or Elastic Stack integrated with GCP · Familiarity with Agile and Scrum methodologies in large-scale enterprise project delivery

Years of experience required:

4 – 7 years

Education qualification:

BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor Degree, Master Degree

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

React.js

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Geopolitical Forecasting {+ 24 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

September 5, 2025