Generative AI- Devops Engineer- Manager

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profile Job Location:

Bengaluru - India

profile Monthly Salary: Not Disclosed
Posted on: 13 hours ago
Vacancies: 1 Vacancy

Job Summary

Industry/Sector

Not Applicable

Specialism

Data Analytics & AI

Management Level

Manager

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 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.

Exp 8 yrs

PwC US - Acceleration Center isWere seeking a hands-on DevOps Engineer with deep experience across container orchestration CI/CD pipelines multi-cloud platforms infrastructure as code and scripting a pivotalroledesigning building andoperatingresilient secure andhighly availablesystems that power our applications in AWS Azure Oracle Cloud and GCP.

Key Responsibilities

  • Container & Orchestration
  • Deploymanage and scale applications on Kubernetes clusters
  • Build push andmanageDocker images viaJFrogArtifactory and Azure Container Registry
  • Leveragekubectland Helm (where applicable) to perform rolling updates rollbacks and debug clusters
  • CI/CD Pipeline Development
  • Design andmaintain YAML-driven pipelines in:
  • Azure DevOps Services
  • GitHub Actions
  • Oracle Cloud Infrastructure DevOps
  • Azure pipelines Library groupsgithubenvironment variables OCI vault integration and configuration.
  • Integrate automated testing security scans and artifact promotion steps into pipelines
  • Build CI/CD pipelines and processes supporting ML workflowsincluding model training validation packaging and deployment. (Nice to Have)
  • Infrastructure as Code
  • Write review andmaintainTerraform modules for provisioningcompute networking and platform services across AWS Azure Oracle Cloud and GCP
  • Implement secretsmanagement 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
  • ManageIP address assignments and DNSmappings 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 andmanaged identities to secure database-to-cluster connectivity
  • Automation & Scripting
  • Develop automation scripts in Python Bash and PowerShell to streamline operational tasks
  • Automate routinemaintenance 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

Required Qualifications

  • 4 years of DevOps or Site Reliability Engineering experience
  • Provenexpertisewith Kubernetes and Docker in production environments
  • Strongproficiencywith Terraform YAML pipeline authoring andGitOpsworkflows
  • Hands-on experience across at least twomajor 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
  • Experience building CI/CD pipelines and processes supporting ML workflows
  • Familiarity with GPU instance types and ML infrastructure support

Preferred Skills

  • Certifications such as AWS Certified DevOps Engineer Azure DevOps Engineer Expert or CKA/CKAD
  • Familiarity with monitoring and logging tools ()
  • Experience in working with code quality tool integration withyamlpipelines ( Veracode Blackduck etc.)
  • Experience with security frameworks and compliance ( Security Center AWS IAM policies)
  • Exposure to database automation and migrations
  • Build E2E infrastructure and automation for large-scale AI/ML systems including GPUmanagement
  • Minimizes downtime and uses onlyMLflowfor tracking andBentoMLfor serving

Educational Background:

  • BE / MCA / Degree/MBA/ Any degree

Travel Requirements

0%

Job Posting End Date


Required Experience:

Manager

Industry/SectorNot ApplicableSpecialismData Analytics & AIManagement LevelManagerJob Description & SummaryAt 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...
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Key Skills

  • ASP.NET
  • Health Education
  • Fashion Designing
  • Fiber
  • Investigation

About Company

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At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 155 countries with over 284,000 people who are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by vis ... View more

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