- We are seeking a Site Reliability Engineer (SRE) with 5 to 7 tears with strong to expert-level knowledge of the AWS ecosystem to support and operate highly available scalable cloud platforms. The role requires hands-on expertise across core AWS services including Kafka Redis CloudWatch Kubernetes (EKS) EC2 Secrets Manager Route53 Lambda RDS DynamoDB and AWS Transfer Family.
- The candidate will be responsible for ensuring system reliability performance and observability in a production environment with a strong emphasis on monitoring automation and infrastructure scalability. Deep experience with Grafana for metrics and dashboards Terraform for infrastructure as code and Docker-based containerization is required.
- The ideal candidate is comfortable working in fast-paced production environments proactively identifying reliability risks and implementing automated solutions to improve uptime and operational efficiency. Experience with automated build and deployment pipelines (CI/CD) is highly desirable enabling continuous delivery and operational consistency across environments.
We are seeking a Site Reliability Engineer (SRE) with 5 to 7 tears with strong to expert-level knowledge of the AWS ecosystem to support and operate highly available scalable cloud platforms. The role requires hands-on expertise across core AWS services including Kafka Redis CloudWatch Kubernetes (...
- We are seeking a Site Reliability Engineer (SRE) with 5 to 7 tears with strong to expert-level knowledge of the AWS ecosystem to support and operate highly available scalable cloud platforms. The role requires hands-on expertise across core AWS services including Kafka Redis CloudWatch Kubernetes (EKS) EC2 Secrets Manager Route53 Lambda RDS DynamoDB and AWS Transfer Family.
- The candidate will be responsible for ensuring system reliability performance and observability in a production environment with a strong emphasis on monitoring automation and infrastructure scalability. Deep experience with Grafana for metrics and dashboards Terraform for infrastructure as code and Docker-based containerization is required.
- The ideal candidate is comfortable working in fast-paced production environments proactively identifying reliability risks and implementing automated solutions to improve uptime and operational efficiency. Experience with automated build and deployment pipelines (CI/CD) is highly desirable enabling continuous delivery and operational consistency across environments.
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