The DevOps engineer will be required to contribute to version-controlled configuration assets within a DevOps team’s existing fully automated continuous deployment solution, to diagnose and troubleshoot infrastructure and deployment issues and work collaboratively as part of the wider organization. He must be an expert with experience with continuous integration, automated deployment, testing and relevant tooling (Git/GitLab, Jenkins, Ansible, Terraform, Linux, AWS EC2, S3 and EKS are essential) Key responsibilities include: * Design and implement automated build and deployment solution for Java based micro service applications utilizing Atlassian Jira/Gillam/Jenkins/Artifactory/Ansible and Terraform * Ensuring that the team and client understand operational requirements, and take a shared responsibility for designing and implementing infrastructure for delivering and running software services * Serve as key liaison between management, technical development/QA teams and Operations * Discover and capitalize on automation opportunities that provide business value * Experienced with large-scale CI/CD implementations and source code implementations Essential Skills: * Experience with Enterprise Jenkins to create reusable pipelines across projects * Understanding of the Linux Operating System, standard network protocols and security hardening. * Proven experience using AWS Cloud Solutions and services such as Ec2, S3, Lambda, EKS, API Gateway, ALB, API Gateway, Autoscaling etc * In-depth knowledge in Infrastructure-as-code tools (such as Ansible, Terraform, etc.) Mandatory experience in creating automation framework using Ansible * • Strong in one or two Scripting and programming languages (such as Python/Perl, Groovy, Shell cripting, etc.) * Experience with unit testing and automated testing tools (such as ReadyApi, Cucumber etc.) * Familiarity with microservices architecture and container orchestration with Kubernetes (Preferably EKS) * Experience in managing and scaling distributed systems in AWS cloud environment across multiple environments