Performance Engineering

Intersources Inc.

United States

7 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

6 years minimum

Working hours

Regular working hours

Job source

www2.jobdiva.com

Tech stack

Java (Programming Language) Amazon Web Services Software Applications Microsoft Azure C Sharp (Programming Language) Profiling Computer Programming Databases Software Debugging Perl (Programming Language) Hazelcast HP Loadrunner

+15 more

Apache JMeter Python (Programming Language) Microsoft SQL Server MongoDB Oracle (Applications) Performance Tuning Redis Newrelic Distributed Caching Tcl (Programming Language) Load Balancing Information Technology Functional Programming Appdynamics Dynatrace

Requirements

Bachelor’s Degree in Computer Science or equivalent from an accredited college or university.
At least 6+ years of experience in performance engineering, capacity panning 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

Requirements (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.