Performance Engineering
Intersources Inc.
United States
2 months ago
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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
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.
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