Software Engineer - Automation & Observability

What you will be doing:Develop robust tools and frameworks to streamline performance test automation in cloud environments.Implement observability and performance monitoring strategies within Azure DevOps to ensure system reliability.Build intelligent utilities and tools that leverage AI and machine learning to enhance product quality.Design and implement scalable, cloud-based models and applications.Optimize security, performance, and stability of cloud-hosted products.Develop testing strategies and support tools for deployment and DevOps teams.Write efficient scripts to boost cloud performance.Research and integrate solutions using industry-leading monitoring tools such as New Relic and Datadog.What you will likely bring:3+ years of proven experience in programming and scripting, preferably with Python.Experience in developing tools for QA, performance testing, and test automation.Strong knowledge of performance optimization in cloud environments, preferably in Azure DevOps.Experi...