Cloud DevOps Engineer | Manager
Capgemini
Cloud DevOps Engineer | Manager
Job Description
Cloud DevOps Engineer | Manager
📋 Job Overview
The Cloud DevOps Engineer Manager role at Capgemini Invent involves designing, implementing, and optimizing DevOps platforms with a focus on automation, CI/CD pipelines, containerization, and infrastructure as code. The engineer will collaborate with the platform team to analyze existing systems, identify gaps, and recommend enhancements for improved efficiency and reliability. Responsibilities include ensuring implementations align with industry best practices to drive transformative cloud solutions for clients.
📍 Location: Bangalore
💼 Experience Level: Experienced Professionals
🏢 Business Unit: INVENT
🎯 Key Responsibilities
- Work closely with the platform team to analyze the existing DevOps platform
- Identify gaps and provide recommendations to enhance efficiency and reliability
- Ensure implementation of recommendations aligns with industry best practices
- Manage cloud infrastructure using AWS
- Handle container management with Kubernetes and Docker
- Build and deploy pipelines using Jenkins
- Manage Kubernetes applications using Helm Charts or similar technologies
- Perform automation tasks using scripting languages
✅ Required Qualifications
- Experienced DevOps Platform Engineer
- Proficiency in designing, implementing, and optimizing DevOps platforms
- Strong emphasis on automation, CI/CD pipelines, containerization, and infrastructure as code
- Ability to analyze existing DevOps platforms, identify gaps, and provide recommendations
- Ensuring implementation aligns with industry best practices
⭐ Preferred Qualifications
- Certifications in latest technologies such as Generative AI
🛠️ Required Skills
- AWS for managing cloud infrastructure
- Kubernetes and Docker for container management
- Jenkins for building and deploying CI/CD pipelines
- Helm Charts or similar for managing Kubernetes applications
- Scripting languages such as Groovy/Python, PowerShell/Bash for automation
- Automation
- CI/CD pipelines
- Containerization
- Infrastructure as code
🎁 Benefits & Perks
- Flexible work arrangements including remote work and flexible hours
- Environment to maintain healthy work-life balance
- Career growth programs and diverse professional opportunities
- Access to valuable certifications in latest technologies such as Generative AI
Locations
- Bangalore, India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- AWS for managing cloud infrastructureintermediate
- Kubernetes and Docker for container managementintermediate
- Jenkins for building and deploying CI/CD pipelinesintermediate
- Helm Charts or similar for managing Kubernetes applicationsintermediate
- Scripting languages such as Groovy/Python, PowerShell/Bash for automationintermediate
- Automationintermediate
- CI/CD pipelinesintermediate
- Containerizationintermediate
- Infrastructure as codeintermediate
Required Qualifications
- Experienced DevOps Platform Engineer (experience)
- Proficiency in designing, implementing, and optimizing DevOps platforms (experience)
- Strong emphasis on automation, CI/CD pipelines, containerization, and infrastructure as code (experience)
- Ability to analyze existing DevOps platforms, identify gaps, and provide recommendations (experience)
- Ensuring implementation aligns with industry best practices (experience)
Preferred Qualifications
- Certifications in latest technologies such as Generative AI (experience)
Responsibilities
- Work closely with the platform team to analyze the existing DevOps platform
- Identify gaps and provide recommendations to enhance efficiency and reliability
- Ensure implementation of recommendations aligns with industry best practices
- Manage cloud infrastructure using AWS
- Handle container management with Kubernetes and Docker
- Build and deploy pipelines using Jenkins
- Manage Kubernetes applications using Helm Charts or similar technologies
- Perform automation tasks using scripting languages
Benefits
- general: Flexible work arrangements including remote work and flexible hours
- general: Environment to maintain healthy work-life balance
- general: Career growth programs and diverse professional opportunities
- general: Access to valuable certifications in latest technologies such as Generative AI
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Answer 10 quick questions to check your fit for Cloud DevOps Engineer | Manager @ Capgemini.
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Cloud DevOps Engineer | Manager
Capgemini
Cloud DevOps Engineer | Manager
Job Description
Cloud DevOps Engineer | Manager
📋 Job Overview
The Cloud DevOps Engineer Manager role at Capgemini Invent involves designing, implementing, and optimizing DevOps platforms with a focus on automation, CI/CD pipelines, containerization, and infrastructure as code. The engineer will collaborate with the platform team to analyze existing systems, identify gaps, and recommend enhancements for improved efficiency and reliability. Responsibilities include ensuring implementations align with industry best practices to drive transformative cloud solutions for clients.
📍 Location: Bangalore
💼 Experience Level: Experienced Professionals
🏢 Business Unit: INVENT
🎯 Key Responsibilities
- Work closely with the platform team to analyze the existing DevOps platform
- Identify gaps and provide recommendations to enhance efficiency and reliability
- Ensure implementation of recommendations aligns with industry best practices
- Manage cloud infrastructure using AWS
- Handle container management with Kubernetes and Docker
- Build and deploy pipelines using Jenkins
- Manage Kubernetes applications using Helm Charts or similar technologies
- Perform automation tasks using scripting languages
✅ Required Qualifications
- Experienced DevOps Platform Engineer
- Proficiency in designing, implementing, and optimizing DevOps platforms
- Strong emphasis on automation, CI/CD pipelines, containerization, and infrastructure as code
- Ability to analyze existing DevOps platforms, identify gaps, and provide recommendations
- Ensuring implementation aligns with industry best practices
⭐ Preferred Qualifications
- Certifications in latest technologies such as Generative AI
🛠️ Required Skills
- AWS for managing cloud infrastructure
- Kubernetes and Docker for container management
- Jenkins for building and deploying CI/CD pipelines
- Helm Charts or similar for managing Kubernetes applications
- Scripting languages such as Groovy/Python, PowerShell/Bash for automation
- Automation
- CI/CD pipelines
- Containerization
- Infrastructure as code
🎁 Benefits & Perks
- Flexible work arrangements including remote work and flexible hours
- Environment to maintain healthy work-life balance
- Career growth programs and diverse professional opportunities
- Access to valuable certifications in latest technologies such as Generative AI
Locations
- Bangalore, India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- AWS for managing cloud infrastructureintermediate
- Kubernetes and Docker for container managementintermediate
- Jenkins for building and deploying CI/CD pipelinesintermediate
- Helm Charts or similar for managing Kubernetes applicationsintermediate
- Scripting languages such as Groovy/Python, PowerShell/Bash for automationintermediate
- Automationintermediate
- CI/CD pipelinesintermediate
- Containerizationintermediate
- Infrastructure as codeintermediate
Required Qualifications
- Experienced DevOps Platform Engineer (experience)
- Proficiency in designing, implementing, and optimizing DevOps platforms (experience)
- Strong emphasis on automation, CI/CD pipelines, containerization, and infrastructure as code (experience)
- Ability to analyze existing DevOps platforms, identify gaps, and provide recommendations (experience)
- Ensuring implementation aligns with industry best practices (experience)
Preferred Qualifications
- Certifications in latest technologies such as Generative AI (experience)
Responsibilities
- Work closely with the platform team to analyze the existing DevOps platform
- Identify gaps and provide recommendations to enhance efficiency and reliability
- Ensure implementation of recommendations aligns with industry best practices
- Manage cloud infrastructure using AWS
- Handle container management with Kubernetes and Docker
- Build and deploy pipelines using Jenkins
- Manage Kubernetes applications using Helm Charts or similar technologies
- Perform automation tasks using scripting languages
Benefits
- general: Flexible work arrangements including remote work and flexible hours
- general: Environment to maintain healthy work-life balance
- general: Career growth programs and diverse professional opportunities
- general: Access to valuable certifications in latest technologies such as Generative AI
Tags & Categories
Answer 10 quick questions to check your fit for Cloud DevOps Engineer | Manager @ Capgemini.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs