Performance Engineer

Summary

Join Centric Software as a Performance Engineer and optimize the performance, scalability, and reliability of our applications and database systems. You will troubleshoot and resolve database performance issues, working with developers and infrastructure teams. This role requires expertise in performance testing, database internals, and performance tuning. The ideal candidate will have proven experience as a Performance Engineer and strong analytical and problem-solving skills. You will develop and implement performance test plans, conduct root cause analysis, and create performance reports. This is a remote position with a salary range of $160,000 - $180,000.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering or Information Technology
• Expertise in performance engineering fundamentals like workload models, load generation, queueing models, scalability, and TPS
• Expert level of JMeter
• Proven experience as a Performance Engineer or in a similar role with a focus on database performance
• Strong expertise in database troubleshooting, and performance tuning
• Familiarity with database management systems (e.g., MySQL, PostgreSQL, Oracle, SQL Server, MongoDB)
• Experience with performance testing tools (e.g., JMeter, LoadRunner
• Deep understanding of database internals, including indexing, caching, query execution plans, and storage engines
• Proficiency in scripting languages (e.g., Java, Shell) for automation of performance tests and diagnostics
• Strong analytical and problem-solving skills, with the ability to troubleshoot complex performance issues
• Excellent communication and collaboration skills, with the ability to work effectively across cross-functional teams
• Familiarity with Jenkins, AWS, Azure, and Google Cloud

Responsibilities

• Analyze and optimize the performance of both application code and database systems to improve efficiency and scalability
• Troubleshoot and resolve database performance issues, including slow queries, resource contention, deadlocks, and indexing problems
• Develop and implement performance test plans for database-driven applications, including load, stress, and endurance testing
• Use profiling and monitoring tools to identify and resolve database bottlenecks, resource utilization issues, and latency
• Conduct root cause analysis for performance degradation and implement corrective actions
• Work with development teams to identify code optimizations and database changes that improve system performance
• Create detailed performance reports and provide actionable insights to improve application and database performance
• Stay up to date with emerging trends in database technologies, performance testing tools, and best practices
• Write monitoring and data extraction tools in Java, Python, or Unix Shell
• Working knowledge of container architecture and technologies like Docker and Kubernetes

Preferred Qualifications

Experience with Datadog and Splunk