Capgemini
DevOps Cloud Native Architect
Capgemini, California, Missouri, United States, 65018
Job Description:
KEY RESPONSIBILITIES:
Design, implement, and maintain scalable, reliable, and secure cloud infrastructure using GCP services.
Automate cloud infrastructure provisioning, scaling, and monitoring using Infrastructure as Code (IaC) tools such as Terraform or Google Cloud Deployment Manager.
Manage and optimize GCP resources such as Compute Engine, Kubernetes Engine, Cloud Functions, and BigQuery to support development teams.
CI/CD Pipeline Management:Build, maintain, and enhance continuous integration and continuous deployment (CI/CD) pipelines to ensure seamless and automated code deployment to GCP environments.
Integrate CI/CD pipelines with GCP services like Cloud Build, Cloud Source Repositories, or third-party tools like Jenkins.
Ensure pipelines are optimized for faster build, test, and deployment cycles.
Monitoring & Incident Management:Implement and manage cloud monitoring and logging solutions using Dynatrace and GCP-native tools like Stackdriver (Monitoring, Logging, and Trace).
Monitor cloud infrastructure health and resolve performance issues, ensuring minimal downtime and maximum uptime.
Set up incident management workflows, implement alerting mechanisms, and create runbooks for rapid issue resolution.
Security & Compliance:Apply standard methodologies for securing cloud infrastructure, focusing on identity and access management (IAM), encryption, and network security.
Ensure GCP environments align with organizational security policies and industry standards such as GDPR/CCPA, or PCI-DSS.
Conduct vulnerability assessments and perform regular patching and system updates to mitigate security risks.
Collaboration & Support:Collaborate with development teams to design cloud-native applications that are optimized for performance, security, and scalability on GCP.
Work closely with cloud architects to provide recommendations on cloud design and standard processes for continuous integration, testing, and deployment.
Provide day-to-day support for development, QA, and production environments, ensuring availability and stability.
Cost Optimization:Monitor and optimize cloud costs by analyzing resource utilization and recommending cost-saving measures such as right-sizing instances, using preemptible VMs, or implementing auto-scaling.
Tooling & Scripting:Develop and maintain scripts (using languages like Python, Bash, or PowerShell) to automate routine tasks and system operations.
Use configuration management tools like Ansible, Chef, or Puppet to manage cloud resources and maintain system configurations.Required Skills:
Proven experience as a DevOps Engineer or Cloud Engineer, with hands-on experience in leading cloud infrastructure.
Proven experience working with Google Cloud Platform (GCP) services such as Compute Engine, Cloud Storage, Kubernetes Engine, Pub/Sub, Cloud SQL, and others.
Experience in automating cloud infrastructure with Infrastructure as Code (IaC) tools like Terraform, Cloud Deployment Manager, or Ansible.
Technical Skills:Strong knowledge of CI/CD tools and processes (e.g., Jenkins, GitLab CI, CircleCI, or GCP Cloud Build).
Proficiency in scripting and automation using Python, Bash, or similar languages.
Strong understanding of containerization technologies (Docker) and container orchestration tools like Kubernetes.
Familiarity with GCP networking, security (IAM, VPC, Firewall rules), and monitoring tools (Stackdriver).
Cloud & DevOps Tools:Experience with Git for version control and collaboration.
Familiarity with GCP-native DevOps tools like Cloud Build, Cloud Source Repositories, Artifact Registry, and Binary Authorization.
Understanding of DevOps practices and principles, including Continuous Integration, Continuous Delivery, Infrastructure as Code, and Monitoring/Alerting.
Security & Compliance:Knowledge of security standard methodologies for cloud environments, including IAM, network security, and data encryption.
Understanding of compliance and regulatory requirements related to cloud computing (e.g., GDPR/CCPA, HIPAA, or PCI).
Soft Skills:Strong problem-solving skills with the ability to work in a fast-paced environment.
Excellent interpersonal skills, with the ability to explain technical concepts to both technical and non-technical collaborators.
Team-oriented approach with the ability to work collaboratively with multi-functional teams.
Certifications (Preferred):Google Professional Cloud DevOps Engineer certification (preferred).
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KEY RESPONSIBILITIES:
Design, implement, and maintain scalable, reliable, and secure cloud infrastructure using GCP services.
Automate cloud infrastructure provisioning, scaling, and monitoring using Infrastructure as Code (IaC) tools such as Terraform or Google Cloud Deployment Manager.
Manage and optimize GCP resources such as Compute Engine, Kubernetes Engine, Cloud Functions, and BigQuery to support development teams.
CI/CD Pipeline Management:Build, maintain, and enhance continuous integration and continuous deployment (CI/CD) pipelines to ensure seamless and automated code deployment to GCP environments.
Integrate CI/CD pipelines with GCP services like Cloud Build, Cloud Source Repositories, or third-party tools like Jenkins.
Ensure pipelines are optimized for faster build, test, and deployment cycles.
Monitoring & Incident Management:Implement and manage cloud monitoring and logging solutions using Dynatrace and GCP-native tools like Stackdriver (Monitoring, Logging, and Trace).
Monitor cloud infrastructure health and resolve performance issues, ensuring minimal downtime and maximum uptime.
Set up incident management workflows, implement alerting mechanisms, and create runbooks for rapid issue resolution.
Security & Compliance:Apply standard methodologies for securing cloud infrastructure, focusing on identity and access management (IAM), encryption, and network security.
Ensure GCP environments align with organizational security policies and industry standards such as GDPR/CCPA, or PCI-DSS.
Conduct vulnerability assessments and perform regular patching and system updates to mitigate security risks.
Collaboration & Support:Collaborate with development teams to design cloud-native applications that are optimized for performance, security, and scalability on GCP.
Work closely with cloud architects to provide recommendations on cloud design and standard processes for continuous integration, testing, and deployment.
Provide day-to-day support for development, QA, and production environments, ensuring availability and stability.
Cost Optimization:Monitor and optimize cloud costs by analyzing resource utilization and recommending cost-saving measures such as right-sizing instances, using preemptible VMs, or implementing auto-scaling.
Tooling & Scripting:Develop and maintain scripts (using languages like Python, Bash, or PowerShell) to automate routine tasks and system operations.
Use configuration management tools like Ansible, Chef, or Puppet to manage cloud resources and maintain system configurations.Required Skills:
Proven experience as a DevOps Engineer or Cloud Engineer, with hands-on experience in leading cloud infrastructure.
Proven experience working with Google Cloud Platform (GCP) services such as Compute Engine, Cloud Storage, Kubernetes Engine, Pub/Sub, Cloud SQL, and others.
Experience in automating cloud infrastructure with Infrastructure as Code (IaC) tools like Terraform, Cloud Deployment Manager, or Ansible.
Technical Skills:Strong knowledge of CI/CD tools and processes (e.g., Jenkins, GitLab CI, CircleCI, or GCP Cloud Build).
Proficiency in scripting and automation using Python, Bash, or similar languages.
Strong understanding of containerization technologies (Docker) and container orchestration tools like Kubernetes.
Familiarity with GCP networking, security (IAM, VPC, Firewall rules), and monitoring tools (Stackdriver).
Cloud & DevOps Tools:Experience with Git for version control and collaboration.
Familiarity with GCP-native DevOps tools like Cloud Build, Cloud Source Repositories, Artifact Registry, and Binary Authorization.
Understanding of DevOps practices and principles, including Continuous Integration, Continuous Delivery, Infrastructure as Code, and Monitoring/Alerting.
Security & Compliance:Knowledge of security standard methodologies for cloud environments, including IAM, network security, and data encryption.
Understanding of compliance and regulatory requirements related to cloud computing (e.g., GDPR/CCPA, HIPAA, or PCI).
Soft Skills:Strong problem-solving skills with the ability to work in a fast-paced environment.
Excellent interpersonal skills, with the ability to explain technical concepts to both technical and non-technical collaborators.
Team-oriented approach with the ability to work collaboratively with multi-functional teams.
Certifications (Preferred):Google Professional Cloud DevOps Engineer certification (preferred).
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