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Job Details

Skills

Development Testing
Acceptance Testing
HTTP
Load Balancing
IT Management
Mentorship
Regulatory Compliance
Computer Science
Information Technology
Akamai
Cloud Storage
DNS
Dragon NaturallySpeaking
Firewall
Network Security
Dynatrace
Conflict Resolution
Problem Solving
Communication
Collaboration
Terraform
Ansible
DevOps
Scripting
Python
Bash
Windows PowerShell
Docker
Orchestration
Kubernetes
Stackdriver
Grafana
Atlassian
JIRA
Confluence
Data Engineering
Data Migration
Data Flow
API Management
Microservices
Encryption
Management
Identity Management
Application Development
Cost Management
Optimization
Computer Networking
Virtual Private Cloud
Virtual Private Network
Google Cloud
Google Cloud Platform
Continuous Integration
Continuous Delivery
Bitbucket
Jenkins
Cloud Computing

Development Testing
Acceptance Testing
HTTP
Load Balancing
IT Management
Mentorship
Regulatory Compliance
Computer Science
Information Technology
Akamai
Cloud Storage
DNS
Dragon NaturallySpeaking
Firewall
Network Security
Dynatrace
Conflict Resolution
Problem Solving
Communication
Collaboration
Terraform
Ansible
DevOps
Scripting
Python
Bash
Windows PowerShell
Docker
Orchestration
Kubernetes
Stackdriver
Grafana
Atlassian
JIRA
Confluence
Data Engineering
Data Migration
Data Flow
API Management
Microservices
Encryption
Management
Identity Management
Application Development
Cost Management
Optimization
Computer Networking
Virtual Private Cloud
Virtual Private Network
Google Cloud
Google Cloud Platform
Continuous Integration
Continuous Delivery
Bitbucket
Jenkins
Cloud Computing

Summary

Job Description:
Responsibilities:

Design and implement robust Cloud architectures using Google Cloud Platform-native services for refactored applications from Data Center environments
Collaborate with cross-functional teams to understand application requirements and translate them into technical solutions.
Develop or migrate CI/CD pipelines from other technologies like Jenkins to Google Cloud Platform Cloud Build and Cloud Deploy services
Implement Code Quality gating and metrics in the CI pipelines using tools like SonarQube, Vulnerability Scanners like Veracode, Container scanners like Prisma Cloud etc.
Support ongoing application deployments in various Google Cloud Platform environments like Development, Testing, UAT, Preproduction and Production
Integrate Akamai with Global HTTP(S) Load Balancer to enable phased traffic cutover from Data Center to Google Cloud Platform workloads.
Provide technical leadership and mentorship to junior engineers.
Ensure compliance with industry standards and regulatory requirements.
Develop and maintain Terraform code for Google Cloud Platform environment deployments
Troubleshoot and resolve complex technical issues related to Google Cloud Platform infrastructure and services.
Stay updated with the latest Google Cloud Platform features, tools, and best practices.

Qualifications:

Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
Working knowledge about Akamai integration is highly desirable
Minimum of 5 years of hands-on experience with Google Cloud Platform architecture and services.
Proven experience in Google Cloud Platform cloud foundation build
Proficiency in Google Cloud Platform services and concepts such as GKE, Artifact Registry, Cloud Armor, Cloud Storage, Pub/Sub, BigQuery, Bigtable, Cloud Run services, Cloud Functions, Load Balancers, Cloud DNS, Shared VPC, Private Service Connect, Private Google Access, VPC Firewall rules and VPC Peering
Excellent understanding of networking, security, and IAM in Google Cloud Platform.
Experience with Dynatrace, Cloud Logging and Cloud Monitoring is a plus.
Strong problem-solving skills and the ability to work in a fast-paced environment.
Excellent communication and collaboration skills.

Technical Skills Required:

Experience with Terraform, Ansible, or other Infrastructure-as-Code (IaC) tools.
Knowledge of DevOps practices and CI/CD pipelines.
Proficiency in scripting languages such as Python, Bash, or PowerShell.
Experience with containerization technologies like Docker and orchestration tools like Kubernetes.
Familiarity with monitoring and logging tools such as Stackdriver, Prometheus, and Grafana.
Familiarity with Atlassian toolset - JIRA, Confluence, BitBucket
Exposure to Google Cloud Platform Data engineering concepts and tools like Data Migration service, Dataflow and Datastream will be a plus.
Experience with Apigee API management and microservices architecture.
Knowledge of security best practices, including encryption, key management, and identity management.
Experience with cloud-native application development and serverless architectures.
Knowledge of cloud cost management and optimization strategies.
Experience with hybrid cloud environments
Knowledge of cloud networking concepts, including VPC, VPN, and Partner interconnects.

Preferred Skills:

Google Cloud Platform Professional Cloud Architect certification
Experience with hybrid cloud environments and multi-cloud strategies
CI/CD tools - BitBucket, Jenkins, Cloud Build, Cloud Deploy, ArgoCD, SonarQube

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 80183517
Position Id: 45edff47c32deaf11720d2bb9daa4b32
Posted 8 hours ago

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