Overview
Skills
Job Details
Cloud Infrastructure Engineer exp in F5 load
Remote
Contract
Location: Remote
Top 3 skills required for this role:
Hands-on experience with F5 load balancer setup and configuration.
Strong understanding of Apigee API Gateway and its integration with backend services.
Experience deploying and managing workloads in Google Kubernetes Engine (GKE)
Job Summary :
We are looking for a Cloud Infrastructure Engineer with expertise in F5 load balancing, Apigee API management, and Google Cloud Platform (Google Cloud Platform) services including GKE and Spanner. This role will focus on setting up secure and scalable API traffic flows and implementing chaos testing to ensure system resilience.
Experience : 7 - 10 years
Required Skills : Technical Skills: API Domain Skills:
Nice to have skills : Domain Skills:
Technology : Custom Service
Shift : Day
Responsibilities :
- Design and implement F5 load balancers across APIs between Apigee and GKE service layers.
 - Collaborate with development and platform teams to integrate F5 with Apigee for secure and efficient API traffic management.
 - Set up and manage chaos testing frameworks targeting GKE workloads and Cloud Spanner to validate fault tolerance and system reliability.
 - Develop automation scripts for chaos experiments and infrastructure validation.
 - Monitor system performance during chaos tests and provide insights for improvement.
 - Troubleshoot and resolve issues related to F5, Apigee, GKE, Spanner, and other Google Cloud Platform services.
 - Maintain documentation for configurations, test results, and operational procedures.
 - Hands-on experience with F5 load balancer setup and configuration.
 - Strong understanding of Apigee API Gateway and its integration with backend services.
 - Experience deploying and managing workloads in Google Kubernetes Engine (GKE).
 - Familiarity with Google Cloud Spanner and distributed database concepts.
 
Preferred Skills:
- Experience with Private Service Connect and secure service-to-service communication in Google Cloud Platform.
 - Familiarity with CI/CD pipelines and infrastructure-as-code tools (Terraform, Helm). Google Cloud Platform certifications (e.g., Professional Cloud Architect, Cloud DevOps Engineer).
 - Experience deploying and managing workloads in Google Kubernetes Engine (GKE).
 - Familiarity with Google Cloud Spanner and distributed database concepts.
 - Google Cloud Platform certifications (e.g., Professional Cloud Architect, Cloud DevOps Engineer).
 - Knowledge of chaos engineering principles and tools (e.g., Chaos Monkey, LitmusChaos, Chaos Mesh).
 - Proficiency in scripting languages like Python or Bash for automation and testing.
 - Strong analytical and troubleshooting skills.
 
Years of Experience: 7.00 Years of Experience