Kubernetes with SDET
Capgemini
Kubernetes with SDET
Job Description
Kubernetes with SDET
📋 Job Overview
As a Python Automation Lead at Capgemini in Bangalore, you will design and implement automation frameworks and infrastructure solutions across cloud environments. You will collaborate with engineering, DevOps, and QA teams to build scalable systems and ensure robust automation throughout the software development lifecycle. This role focuses on leveraging Kubernetes and other cloud-native technologies to drive efficiency and innovation.
📍 Location: Bangalore
💼 Experience Level: Experienced Professionals
🏢 Business Unit: Engineering and RandD Services
🎯 Key Responsibilities
- Develop automation scripts and frameworks using Python, Shell scripting, or Groovy
- Work with Python test frameworks such as Pytest, Lettuce, and Doctest
- Design and manage infrastructure using Kubernetes, OpenStack, and other cloud-native platforms
- Implement Infrastructure-as-Code using tools like Terraform, Ansible, Helm, and Kolla Ansible
- Integrate CI/CD pipelines using Jenkins, GitLab CI, or GitHub Actions
- Conduct API testing using tools like Postman, RestAssured, and Karate
- Monitor systems using observability tools such as Prometheus, Grafana, and the ELK Stack
- Work across cloud environments (AWS, Azure, GCP) and on-premise infrastructure
- Apply Agile methodologies and QA best practices throughout the SDLC
✅ Required Qualifications
- 8–12 years of experience in automation and cloud infrastructure
- Strong programming skills in Python, with experience in Shell scripting or Groovy
- Hands-on experience with Kubernetes and OpenStack
- Proficiency in Infrastructure-as-Code and automation tools
- Experience with CI/CD and API testing tools
- Familiarity with monitoring and observability platforms
- Exposure to cloud platforms and hybrid infrastructure setups
- Strong understanding of Agile practices and software quality assurance
🛠️ Required Skills
- Python
- Shell scripting
- Groovy
- Pytest
- Lettuce
- Doctest
- Kubernetes
- OpenStack
- Terraform
- Ansible
- Helm
- Kolla Ansible
- Jenkins
- GitLab CI
- GitHub Actions
- Postman
- RestAssured
- Karate
- Prometheus
- Grafana
- ELK Stack
- AWS
- Azure
- GCP
- Agile methodologies
- QA best practices
- Infrastructure-as-Code
- CI/CD
- API testing
- Monitoring and observability
- Cloud platforms
- Hybrid infrastructure setups
- Software quality assurance
🎁 Benefits & Perks
- Flexible work hours and remote work options
- Inclusive culture that values innovation, collaboration, and continuous learning
- Opportunities to work on cutting-edge technologies and impactful projects
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
- Pythonintermediate
- Shell scriptingintermediate
- Groovyintermediate
- Pytestintermediate
- Lettuceintermediate
- Doctestintermediate
- Kubernetesintermediate
- OpenStackintermediate
- Terraformintermediate
- Ansibleintermediate
- Helmintermediate
- Kolla Ansibleintermediate
- Jenkinsintermediate
- GitLab CIintermediate
- GitHub Actionsintermediate
- Postmanintermediate
- RestAssuredintermediate
- Karateintermediate
- Prometheusintermediate
- Grafanaintermediate
- ELK Stackintermediate
- AWSintermediate
- Azureintermediate
- GCPintermediate
- Agile methodologiesintermediate
- QA best practicesintermediate
- Infrastructure-as-Codeintermediate
- CI/CDintermediate
- API testingintermediate
- Monitoring and observabilityintermediate
- Cloud platformsintermediate
- Hybrid infrastructure setupsintermediate
- Software quality assuranceintermediate
Required Qualifications
- 8–12 years of experience in automation and cloud infrastructure (experience)
- Strong programming skills in Python, with experience in Shell scripting or Groovy (experience)
- Hands-on experience with Kubernetes and OpenStack (experience)
- Proficiency in Infrastructure-as-Code and automation tools (experience)
- Experience with CI/CD and API testing tools (experience)
- Familiarity with monitoring and observability platforms (experience)
- Exposure to cloud platforms and hybrid infrastructure setups (experience)
- Strong understanding of Agile practices and software quality assurance (experience)
Responsibilities
- Develop automation scripts and frameworks using Python, Shell scripting, or Groovy
- Work with Python test frameworks such as Pytest, Lettuce, and Doctest
- Design and manage infrastructure using Kubernetes, OpenStack, and other cloud-native platforms
- Implement Infrastructure-as-Code using tools like Terraform, Ansible, Helm, and Kolla Ansible
- Integrate CI/CD pipelines using Jenkins, GitLab CI, or GitHub Actions
- Conduct API testing using tools like Postman, RestAssured, and Karate
- Monitor systems using observability tools such as Prometheus, Grafana, and the ELK Stack
- Work across cloud environments (AWS, Azure, GCP) and on-premise infrastructure
- Apply Agile methodologies and QA best practices throughout the SDLC
Benefits
- general: Flexible work hours and remote work options
- general: Inclusive culture that values innovation, collaboration, and continuous learning
- general: Opportunities to work on cutting-edge technologies and impactful projects
Tags & Categories
Answer 10 quick questions to check your fit for Kubernetes with SDET @ Capgemini.
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~2 Minutes
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Related Books and Jobs
Kubernetes with SDET
Capgemini
Kubernetes with SDET
Job Description
Kubernetes with SDET
📋 Job Overview
As a Python Automation Lead at Capgemini in Bangalore, you will design and implement automation frameworks and infrastructure solutions across cloud environments. You will collaborate with engineering, DevOps, and QA teams to build scalable systems and ensure robust automation throughout the software development lifecycle. This role focuses on leveraging Kubernetes and other cloud-native technologies to drive efficiency and innovation.
📍 Location: Bangalore
💼 Experience Level: Experienced Professionals
🏢 Business Unit: Engineering and RandD Services
🎯 Key Responsibilities
- Develop automation scripts and frameworks using Python, Shell scripting, or Groovy
- Work with Python test frameworks such as Pytest, Lettuce, and Doctest
- Design and manage infrastructure using Kubernetes, OpenStack, and other cloud-native platforms
- Implement Infrastructure-as-Code using tools like Terraform, Ansible, Helm, and Kolla Ansible
- Integrate CI/CD pipelines using Jenkins, GitLab CI, or GitHub Actions
- Conduct API testing using tools like Postman, RestAssured, and Karate
- Monitor systems using observability tools such as Prometheus, Grafana, and the ELK Stack
- Work across cloud environments (AWS, Azure, GCP) and on-premise infrastructure
- Apply Agile methodologies and QA best practices throughout the SDLC
✅ Required Qualifications
- 8–12 years of experience in automation and cloud infrastructure
- Strong programming skills in Python, with experience in Shell scripting or Groovy
- Hands-on experience with Kubernetes and OpenStack
- Proficiency in Infrastructure-as-Code and automation tools
- Experience with CI/CD and API testing tools
- Familiarity with monitoring and observability platforms
- Exposure to cloud platforms and hybrid infrastructure setups
- Strong understanding of Agile practices and software quality assurance
🛠️ Required Skills
- Python
- Shell scripting
- Groovy
- Pytest
- Lettuce
- Doctest
- Kubernetes
- OpenStack
- Terraform
- Ansible
- Helm
- Kolla Ansible
- Jenkins
- GitLab CI
- GitHub Actions
- Postman
- RestAssured
- Karate
- Prometheus
- Grafana
- ELK Stack
- AWS
- Azure
- GCP
- Agile methodologies
- QA best practices
- Infrastructure-as-Code
- CI/CD
- API testing
- Monitoring and observability
- Cloud platforms
- Hybrid infrastructure setups
- Software quality assurance
🎁 Benefits & Perks
- Flexible work hours and remote work options
- Inclusive culture that values innovation, collaboration, and continuous learning
- Opportunities to work on cutting-edge technologies and impactful projects
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
- Pythonintermediate
- Shell scriptingintermediate
- Groovyintermediate
- Pytestintermediate
- Lettuceintermediate
- Doctestintermediate
- Kubernetesintermediate
- OpenStackintermediate
- Terraformintermediate
- Ansibleintermediate
- Helmintermediate
- Kolla Ansibleintermediate
- Jenkinsintermediate
- GitLab CIintermediate
- GitHub Actionsintermediate
- Postmanintermediate
- RestAssuredintermediate
- Karateintermediate
- Prometheusintermediate
- Grafanaintermediate
- ELK Stackintermediate
- AWSintermediate
- Azureintermediate
- GCPintermediate
- Agile methodologiesintermediate
- QA best practicesintermediate
- Infrastructure-as-Codeintermediate
- CI/CDintermediate
- API testingintermediate
- Monitoring and observabilityintermediate
- Cloud platformsintermediate
- Hybrid infrastructure setupsintermediate
- Software quality assuranceintermediate
Required Qualifications
- 8–12 years of experience in automation and cloud infrastructure (experience)
- Strong programming skills in Python, with experience in Shell scripting or Groovy (experience)
- Hands-on experience with Kubernetes and OpenStack (experience)
- Proficiency in Infrastructure-as-Code and automation tools (experience)
- Experience with CI/CD and API testing tools (experience)
- Familiarity with monitoring and observability platforms (experience)
- Exposure to cloud platforms and hybrid infrastructure setups (experience)
- Strong understanding of Agile practices and software quality assurance (experience)
Responsibilities
- Develop automation scripts and frameworks using Python, Shell scripting, or Groovy
- Work with Python test frameworks such as Pytest, Lettuce, and Doctest
- Design and manage infrastructure using Kubernetes, OpenStack, and other cloud-native platforms
- Implement Infrastructure-as-Code using tools like Terraform, Ansible, Helm, and Kolla Ansible
- Integrate CI/CD pipelines using Jenkins, GitLab CI, or GitHub Actions
- Conduct API testing using tools like Postman, RestAssured, and Karate
- Monitor systems using observability tools such as Prometheus, Grafana, and the ELK Stack
- Work across cloud environments (AWS, Azure, GCP) and on-premise infrastructure
- Apply Agile methodologies and QA best practices throughout the SDLC
Benefits
- general: Flexible work hours and remote work options
- general: Inclusive culture that values innovation, collaboration, and continuous learning
- general: Opportunities to work on cutting-edge technologies and impactful projects
Tags & Categories
Answer 10 quick questions to check your fit for Kubernetes with SDET @ Capgemini.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs