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Job Description :Design and implement availability, scalability, and performance plans for the AWS managed service environment Continual re-evaluation of existing stack and infrastructure to maintain optimal performance, availability and security Manage the production deployment and deployment automation Implement process and quality improvements through task automation Institute infrastructure as code, security automation and automation or routine maintenance tasks Experience with containerization and orchestration tools like docker, Kubernetes Build, Deploy and Manage Kubernetes clusters thru automation Create and deliver knowledge sharing presentations and documentation for support teams Learning on the job and explore new technologies with little supervision Work effectively with onsite/offshore teams Extensive experience with Kubernetes and AWS (IAM, Route53, SSM, S3, EFS, EBS, ELB, Lambda, CloudWatch, CloudTrail, SQS, SNS, RDS, Cloud Formation, DynamoDB) Solid understanding of AWS IAM Roles and Policies Solid Linux experience with a focus on web (Apache Tomcat/Nginx) Experience with automation/configuration management using Terraform\Chef\Ansible or similar. Understanding of protocols/technologies like Microservices, HTTP/HTTPS, SSL/TLS, LDAP, JDBC, SQL, HTML Experience in managing and working with the offshore teams Familiarity with CI/CD systems such as Jenkins, GitLab CI Scripting experience (Python, Bash, etc.) AWS, Kubernetes Certification is preferred Ability to work with and influence Engineering teams
