We are looking for a Support Engineer with expertise in APIGEE AWS and Kubernetes to provide operational support for API platforms and cloud-based infrastructure. This role focuses on monitoring troubleshooting and maintaining the health and availability of API services in a production Responsibilities:Monitor and maintain the availability performance and reliability of APIs deployed via L2/L3 support for API-related issues including debugging policies tracing traffic and analysing and troubleshoot API deployments running on Kubernetes clusters (EKS or self-managed).Support cloud infrastructure and services on AWS including EC2 S3 CloudWatch Lambda and networking with development and DevOps teams to ensure smooth deployment and rollback of API to production incidents perform root cause analysis and implement corrective knowledge base and operational runbooks for recurring issues and standard in on-call rotations as Skills & Experience:3 5 years of experience supporting APIGEE Edge / X in a production knowledge of Kubernetes (pod management service discovery config maps secrets).Hands-on experience with AWS monitoring and support tools (CloudWatch CloudTrail SNS etc.).Familiarity with CI/CD processes and troubleshooting deployment with API security protocols: OAuth 2.0 API keys and traffic in log analysis using tools like Splunk ELK or CloudWatch with incident and ticketing tools (e.g. ServiceNow Jira PagerDuty).Nice to Have:Exposure to Infrastructure as Code tools (Terraform CloudFormation).Basic scripting skills (Shell Python) for automation of support of other API gateways (Kong NGINX) or service meshes (Istio).Soft Skills:Strong communication skills and ability to work under thinking and effective problem-solving to document issues and communicate with both technical and non-technical stakeholders
Required Experience:
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