Devops AWS Developer

Candidate should be able to: work in a fast-paced and dynamic environment Strong written and verbal communication skills Quickly determine business impact during troubleshooting Advise on best practices for configuration of enterprise-level applications Create internal solutions for common problems, adjust complex customer applications and cache configurations as necessary, and optimize environment variables Repair outages on enterprise applications, perform proper root cause analysis, and ensure systems operate properly Align engineering development requirements with the capabilities of application infrastructure and become proficient in understanding how each software component, system design, and configuration are linked together to form an end-to-end solution Participate in the design of architecture and automation that deliver against strict requirements for functionality, scalability, performance, and reliability Create and maintain technical/physical design specifications and solutions to satisfy system requirements Champion CI/CD Agile practices and automation across team Monitor, diagnose, and triage service application issues Correctly prioritize efforts to solve issues when appropriate or expedite, and determine when further escalation is needed Verify and reproduce system operation issues and diagnose through database querying, log file analysis, error correlation, scripting, and data analysis Identify areas to reduce errors, implement automation and create operational efficiencies Document system incident and change management systems Candidate should have: Experience in troubleshooting and resolving application performance issues, connectivity, and security issues Experience working in a service-oriented architecture both for sourcing and delivering data Must have hands-on experience with AWS technical environment: AWS, VPC, EC2, Fargate, Lambda Functions, Cloud Formation, Cloudfront, Route53, Auto Scaling, awscli, etc. Deep automation experience build, test, deployment automation, post-release surveillance, and monitoring. Experience in scripting languages Python, bash Preferred experience with data processing and data warehouse AWS Batch, Glue, Data Pipelines, RedShift, Athena, etc. Demonstrate strong knowledge in engineering fault-tolerant, high performance, critical business applications Must have hands-on experience with CI/CD systems Github pipelines, Jenkins, AWS Code/Deploy, etc. Candidate should be able to: work in a fast-paced and dynamic environment Strong written and verbal communication skills Quickly determine business impact during troubleshooting Advise on best practices for configuration of enterprise-level applications Create internal solutions for common problems, adjust complex customer applications and cache configurations as necessary, and optimize environment variables Repair outages on enterprise applications, perform proper root cause analysis, and ensure systems operate properly Align engineering development requirements with the capabilities of application infrastructure and become proficient in understanding how each software component, system design, and configuration are linked together to form an end-to-end solution Participate in the design of architecture and automation that deliver against strict requirements for functionality, scalability, performance, and reliability Create and maintain technical/physical design specifications and solutions to satisfy system requirements Champion CI/CD Agile practices and automation across team Monitor, diagnose, and triage service application issues Correctly prioritize efforts to solve issues when appropriate or expedite, and determine when further escalation is needed Verify and reproduce system operation issues and diagnose through database querying, log file analysis, error correlation, scripting, and data analysis Identify areas to reduce errors, implement automation and create operational efficiencies Document system incident and change management systems Candidate should have: Experience in troubleshooting and resolving application performance issues, connectivity, and security issues Experience working in a service-oriented architecture both for sourcing and delivering data Must have hands-on experience with AWS technical environment: AWS, VPC, EC2, Fargate, Lambda Functions, Cloud Formation, Cloudfront, Route53, Auto Scaling, awscli, etc. Deep automation experience build, test, deployment automation, post-release surveillance, and monitoring. Experience in scripting languages Python, bash Preferred experience with data processing and data warehouse AWS Batch, Glue, Data Pipelines, RedShift, Athena, etc. Demonstrate strong knowledge in engineering fault-tolerant, high performance, critical business applications Must have hands-on experience with CI/CD systems Github pipelines, Jenkins, AWS Code/Deploy,