Generative AI Devops - Manager

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 data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

Years of Experience: Candidates with 8+ years of hands on experience

Position Overview

We’re seeking a hands-on DevOps Engineer with deep experience across container orchestration, CI/CD pipelines, multi-cloud platforms, infrastructure as code, and scripting automation. You’ll play a pivotal role designing, building, and operating resilient, secure, and highly available systems that power our applications in AWS, Azure, Oracle Cloud, and GCP.

Key Responsibilities

• Container & Orchestration
• Deploy, manage, and scale applications on Kubernetes clusters
• Build, push, and manage Docker images via JFrog Artifactory and Azure Container Registry
• Leverage kubectl and Helm (where applicable) to perform rolling updates, rollbacks, and debug clusters
• CI/CD Pipeline Development
• Design and maintain YAML-driven pipelines in:
• Azure DevOps Services
• GitHub Actions
• Oracle Cloud Infrastructure DevOps
• Azure pipelines Library groups, github environment variables, OCI vault integration and configuration.
• Integrate automated testing, security scans, and artifact promotion steps into pipelines
• Infrastructure as Code
• Write, review, and maintain Terraform modules for provisioning compute, networking, and platform services across AWS, Azure, Oracle Cloud, and GCP
• Implement secrets management using Azure Key Vault (and equivalent cloud vaults)
• Cloud Networking & Connectivity
• Architect and troubleshoot VPN tunnels, Virtual Cloud Networks (VCNs), load balancers, and NAT gateways
• Manage IP address assignments and DNS mappings for public-facing and internal services
• Messaging & Orchestration
• Build and orchestrate message workflows using Azure Service Bus, AWS SQS, and RabbitMQ
• Ensure high-throughput, low-latency messaging in distributed microservices environments
• Database & Data Access
• Author SQL queries and stored procedures in AWS RDS/SQL and PostgreSQL environments
• Implement service principals and managed identities to secure database-to-cluster connectivity
• Automation & Scripting
• Develop automation scripts in Python, Bash, and PowerShell to streamline operational tasks
• Automate routine maintenance, deployments, and monitoring setup
• Collaboration & Best Practices
• Collaborate with development teams to integrate DevOps best practices
• Mentor junior engineers on infrastructure patterns, security hardening, and performance optimization
• Document system designs, runbooks, and post-incident reviews
  
  

• 5+ years of DevOps or Site Reliability Engineering experience
• Proven expertise with Kubernetes and Docker in production environments
• Strong proficiency with Terraform, YAML pipeline authoring, and GitOps workflows
• Hands-on experience across at least two major cloud providers (AWS, Azure, GCP, Oracle)
• Solid SQL and PostgreSQL knowledge, including query optimization and scripting
• Experience with messaging platforms: Service Bus, SQS, RabbitMQ
• Excellent scripting skills in Python, Bash, and/or PowerShell
• Deep understanding of networking fundamentals: VPNs, load balancers, DNS, VCNs.
• Configuration of Azure Cognitive Services, AWS Bedrock, Azure OpenSearch, Azure AI Search
  
  

• Certifications such as AWS Certified DevOps Engineer, Azure DevOps Engineer Expert, or CKA/CKAD
• Familiarity with monitoring and logging tools (e.g. Datadog)
• Experience in working with code quality tool integration with yaml pipelines (e.g. Sonarqube, Veracode, Blackduck etc.)
• Experience with security frameworks and compliance (e.g. Azure Security Center, AWS IAM policies)
• Exposure to database automation and migrations
  
  

• BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA/ Any Degree