Cloud DevOps Responsibilities

• Deliver end-to-end data and analytics platforms and capabilities, including requirements assessment, architecture determination and documentation, prototyping, comparative analysis, design and solution implementation


• Define data platform architecture and design, with hands-on capability to review and make required changes


• Responsible for the overall quality of project deliverables and the successful implementation of defined solution for the customer


• Analyze latest Big Data Analytic technologies and their innovative applications in both business intelligence analysis and new service offerings, bring these insights and best practices to architect and implement complex big data solutions


• Provide expertise in big data technology space including cloud architecture, security, data storage, data ingest, data processing, data science, data visualization, etc.


• Support project engagements, work collaboratively with other team members, communicate effectively, and foster team success


• Clearly document findings and recommendations that can be shared both internally and externally.


• Build, maintain, and scale infrastructure for Production, QA, and Dev environments.


• Comfortable briefing internal and external stakeholders on findings and solutions


• Analyze client data and existing systems architecture to determine whether requirements can be met


• Be financially mindful and consider the customer’s best interests while selecting the tools and technologies for the project

• Proven working experience in installing, configuring and troubleshooting UNIX /Linux based environments.


• Solid experience in the administration and performance tuning of application stacks (e.g.,Tomcat, JBoss, Apache, Ruby, NGINX)


• Deep experiences with AWS resources, such as CloudFormation, EC2, S3, RDS, IAM, Lambda, Infrastructure scripting,deployment of VPCs, Subnets, NACL, Route53, Kinesis, Serverless Technologies, etc


• Achieved AWS Certification


• Experience working with Serverless framework


• Experience with CI/CD tools and processes


• Experience with DevOps concepts such as Infrastructure as Code


• Experience with virtualization and containerization (e.g., VMware, Virtual Box)


• Experience with monitoring systems


• Experience in encryption and key management technologies


• Experience with automation software (e.g., Ansible, Puppet, cfengine, Chef)


• Solid scripting skills (e.g., shell scripts, Perl, Ruby, Python)


• Solid networking knowledge (OSI network layers, TCP/IP)


• 5 + years of experience