AWS DevOps Engineer
Development and design of systems, with a focus on automation and maintainability at a large scaleSoftware and hardware testing and deployment to staging and production environmentsPlatform integration: Programmatic infrastructure managementDevelop software infrastructure and build tools useful in development lifecycleComfortable with collaboration, open communication and reaching across dev, qa, monitoring and other cross functional teamsMaintain and monitor production systems for capacity issues, performance and conduct proactive health-checksIncident trouble shooting, with quick remediation for issuesQualifications:10+ years as DevOps Engineer or platform developer in a mid to large Linux environmentExperience like linux/networking/cloud/scripting/tools like ansible/salt/jenkins/vault/kakfka/zookeper and similar toolsStrong IT/Ops background with focus on Process and MOPsStrong Linux fundamentals, with experience in Centos, RPMSolid understanding of containers, familiar with Kubernetes or other orchestration systemsFamiliarity with deployment and management systems such as Ansible, Puppet, Salt, Chef,Packer, Terraform, etc.Strong grasp and practical experience with automation and virtualization of at least one cloud platform (e.g. VMWare, OpenStack, AWS)Expertise in building/maintaining/sustaining monitoring systems like: nagios, op5, etc.Strong with at least one scripting and/or high level language: Python, Node.js, Java, Shell,Perl, GolangProduction experience working with load balancers and web stack based application environmentsSolid grasp of operating and managing NoSQL DB such as Cassandra, HadoopFamiliarity with REST/SOAP/JSON APIsSystems and application monitoring and performance tuning knowledge a plusFamiliarity with messaging systems like ActiveMQ, RabbitMQ, and Kafka is a plusExperience with distributed file system (GlusterFS/Ceph) a plusExperience in AWS VPC, Networking and SecuritySelf-motivated, with excellent oral and written communication skillsExperience in building, maintaining, supporting Cloud based applications with 24x7 monitoring of logs and alerts.Bachelor’s degree in computer science or related field. Master’s preferred.