drjobs Generative Devops - Manager

Generative Devops - Manager

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1 Vacancy
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Job Location drjobs

Bengaluru - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

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.

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

Job Title: Senior DevOps / Cloud Infrastructure Engineer

Position Overview
Were seeking a hands-on DevOps Engineer with deep experience across container orchestration CI/CD pipelines multi-cloud platforms infrastructure as code and scripting automation. Youll 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

Required Qualifications

  • 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

Preferred Skills

  • 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

About You
You thrive in fast-paced collaborative environments enjoy solving complex infrastructure challenges and are passionate about automation reliability and continuous improvement across the software delivery lifecycle.

Job Title: Senior DevOps / Cloud Infrastructure Engineer

Position Overview
Were seeking a hands-on DevOps Engineer with deep experience across container orchestration CI/CD pipelines multi-cloud platforms infrastructure as code and scripting automation. Youll 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

Required Qualifications

  • 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

Preferred Skills

  • 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

About You
You thrive in fast-paced collaborative environments enjoy solving complex infrastructure challenges and are passionate about automation reliability and continuous improvement across the software delivery lifecycle.

Travel Requirements

0%

Job Posting End Date


Required Experience:

Manager

Employment Type

Full-Time

Company Industry

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