Performance Test Engineer
1 month ago
About Us
Planful is a leading Financial Planning & Analysis (FP&A) vendor. Our SaaS product powers finance teams for more than 800 customers including the Boston Red Sox, Bonobos, Evernote, Stoli Group, and Pipedrive. Our mission is to help businesses organize and share financial information to drive continuous planning and agile decision making.
We are building a future where Machine Learning automates the manual labour of administering financial processes, freeing finance professionals to explore higher value insights, making them better at their roles and accelerating their careers.
For more information, please visit www.planful.com or connect on Twitter via @ Planful
Why Join Planful?
Our team is full of highly experienced and passionate individuals who are dedicated to continuously making our product and technology the best in the financial planning space. Apart from working with fantastic people and customers every day we also have some awesome benefits too.
Job Description:
This is a rare opportunity for a passionate engineer to work with world class Performance and Scalability engineering team of Planful flagship suite of cloud-based SaaS applications. Our applications enable our users to input petabytes of data, run very heavy-duty processing on top of them, at very large scale. Planful is looking for a talented and passionate Performance Engineer whose is an expert at designing/developing sophisticated systems that simulate the most complex load scenarios, identifying the bottlenecks in underlying product architecture and ultimately help our product scale, and make our service very rock solid.
Primary Responsibilities:
- Understand the product scenarios and mastermind real world SaaS scenarios workloads/data and work to expose potential bottlenecks.
- Prepare comprehensive Performance plan, designs performance simulation scripts and data.
- Analyze performance results to pinpoint bottlenecks.
- Debug and root cause performance issues.
- Measure end to end, analyze all metrics (not just limited to CPU, Mem, IOPS) and trends to highlight performance improvement opportunities.
- Build tools and frameworks.
What it takes:
- Minimum of 4-10 years of experience in a performance engineering role analyzing, troubleshooting, and automating performance workloads on large scale systems.
- Proficiency in scripting languages to automate load tests.
- Good knowledge on client and server-side performance testing
- Experience in tools & technology inclusive of Java, .Net, Visual Studio, Kibana, Fiddler, JMeter, Soap UI , SQL, SSAS and NO-SQL
- Deep knowledge of Java and its internals (e.g., JVM performance tuning, GC mechanisms, etc.)
- Coding experience in Java and C#
- Knowledge on Dump Analysis (Thread and Memory) is a plus
- Good knowledge of technology like Kafka, Logstash and Elastic Search (ELK stack) is a plus
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