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