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Responsibilities



The ideal candidate will have a passion for taking on performance analysis and code optimization challenges across multiple application domains with a focus on the following objectives:



End-to-End Performance Analysis: Analyze enterprise-level distributed environments and optimize performance bottlenecks in both our real-time data streaming and ETL warehouse application stacks.

Capacity Planning & Optimization: Strategize capacity needs, identify trends and propose design recommendations to ensure resiliency and scalability.

Environment Ownership: Manage and support the performance testing environment, and drive the initiatives that lead to optimal throughput and improved customer experiences.

Automate for Performance: Design and build efficient process and automation tests for every release build.

Developer Support: Diagnostics, reverse-engineering microservices and NeoLoad/JMeter script development to deliver performance outcomes at scale.






Minimum Required Skills



BS or higher in Computer Science or a related technical discipline, or equivalent practical experience

5+ years in a performance engineering role analyzing, troubleshooting and automating performance workloads on large scale systems

5+ years of experience with build automation tools utilizing CI/CD pipelines

Deep knowledge of Java and its internal (e.g. JVM performance tuning, GC mechanisms, etc.) and familiarity with Java Profiling (e.g. JProfiler, YourKit, Glowroot)

Outstanding attention to detail and communication skills

Experience identifying bottlenecks across various layers of web application stacks (client, network, backend)

Hands-on experience in load testing tools like Jmeter, Loadrunner, and other open source products

Experience working and optimizing large scale distributed applications on hybrid cloud platforms

Experience building frameworks and driving architecture design for testability

Expert level understanding of the key performance metrics associated with throughput, latency, memory, CPU, disk & network and the ability to debug bottlenecks associated with any of them

Expertise with Oracle, NoSQL (MongoDB, Redis), and SQL Server database analysis and tuning

Thorough knowledge of OpenShift or similar experience in containerized design patterns

Experience with Fuse, Kafka and other Red Hat products preferred

History of migrating or transforming legacy customer solutions to the cloud a plus




Tools:

Yourkit, JProfiler, Glowroot, Dynatrace, TeamQuest, JProbe, Sitescope, Splunk, Memory Analyzer, TDA, Loadrunner, JMeter, Noeload, Gatling, CA Wiley Introscope, Grafana, IBM GC Analyzer.


Cloud & DevOps:

AWS API Gateway, AWS CloudFormation, AWS Console, AWS Lambda, Amazon CloudWatch, Amazon EC2 Compute Service, Amazon Route 53, Aurora, Amazon EBS, Amazon Elastic Container Service(ECS) Fargate, Amazon Simple Storage Service (S3), DynamoDB and Terraform (IaC). •

Last updated on Sep 14, 2023

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