Informacje o stanowisku

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.

• Experience in performance engineering, capacity planning with in-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.

• 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.

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