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 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 4 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:
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)
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
Author SQL queries and stored procedures in AWS RDS/SQL and PostgreSQL environments
Implement service principals andmanaged identities to secure database-to-cluster connectivity
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
Not Specified
Job Posting End Date
Required Experience:
Senior IC
Industry/SectorNot ApplicableSpecialismData Analytics & AIManagement LevelSenior AssociateJob 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 optim...
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 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 4 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:
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)
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
Author SQL queries and stored procedures in AWS RDS/SQL and PostgreSQL environments
Implement service principals andmanaged identities to secure database-to-cluster connectivity
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
Not Specified
Job Posting End Date
Required Experience:
Senior IC
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