• Work alongside the development and operations teams to ensure speedy and reliable software deployments • Monitor systems and improve overall reliability of the platform • Develop features utilizing the AI coding tool and repository of scripts to automate, scale, test, and secure the cloud infrastructure and the pipelines • Enhance performance monitoring of the various systems via Splunk or other dashboard reporting tools • Identify performance bottlenecks and optimize the performance of cloud infrastructure • Contribute to continuing the SRE journey by suggesting ways to improve engineering build, maintenance, automation and reliability across the platform with SRE/DevOps tools and Infrastructure-as-Code • Develop and code high-quality pipeline automation workflows • Create, script, and run performance tests to measure system behavior under varying levels of load and traffic • Design, implement, and maintain automated test suites for infrastructure and application components • Ensure that testing is integrated into the CI/CD pipeline to validate system reliability with every release • Build automated systems for continuous performance testing, stress testing, and load testing • Work closely with SREs, developers, and operations teams to define reliability goals and develop appropriate testing strategies to validate those goals.