Job Description Responsibilities Work with Product Management, Product Engineering, Cloud Infrastructure, and Data Engineering teams to find the optimal way to scale applications and the infrastructure. Own end-to-end product performance of all ICEMT applications and services. Support architecture design, assist in defining networking requirements, and help code/debug to deliver high quality product releases. Develop capacity studies to predict infrastructure growth projections in the areas of compute (cpu/memory), storage and network. Perform load and stress analysis of end-to-end application performance on infrastructure, capacity planning of APIs and key services. Construct complex workloads and data shapes to expose potential bottlenecks in the application or the infrastructure. Innovate solutions to improve performance engineering effectiveness. Play a key role in production incident analysis and troubleshooting. Knowledge and Experience Experience in performance engineering, capacity panning within depth knowledge of identifying and debugging application/infrastructure performance problems. Experience with the following: Strong hands-on experience in coding & scripting languages such as Java, C#, Perl, Python, TCL. Software application performance tuning over a visualized system and infrastructure. Debugging, Monitoring, Optimization: Using AppDynamics, Dynatrace, NewRelic, LoadRunner, Webload, JMeter or similar tools. Hands on experience with application code instrumentation (Java or C#) and database profiling. In depth knowledge of database fundamentals and architecture (MS SQL Server, Oracle and MongoDB) Be a thinker, help in finding performance bottlenecks, debug to get RCA and provide/recommend a working solution. Outstanding attention to details and strong communication skills Bachelor’s degree in computer science or equivalent from an accredited college or university. Preferred Successfully completed AWS or Azure Solutions Architect Associate/Professional certification exam. Good troubleshooting and performance tuning experience with AWS components like Dynamo, Kinesis, Lambda, etc. Knowledge and hands on experience working with distributed caching systems like Hazelcast, Redis, etc. Excellent understanding of how a high transactional system scales the infrastructure load balancers, filers, firewalls Schedule This role offers work from home flexibility of one day per week.