Senior Software Performance Engineer

The Senior Software Performance Engineer is responsible for leading performance optimization initiatives,providing strategic guidance, and mentoring junior engineers. This role requires advanced expertise inperformance testing, analysis, and system architecture.

Key Responsibilities

Performance Monitoring:

• Architect and manage sophisticated performance monitoring setups.

• Proactively identify and address performance issues.

Performance Testing:

• Lead the design and implementation of complex performance testing strategies.

• Oversee the development and execution of performance test scripts.

• Simulate extensive user loads and analyze system behavior under high stress.

• Conduct and manage complex load, stress, and scalability tests.

• Analyze performance test results to uncover systemic issues.

Software Planning & Development:

• Lead the performance development of fixes and features using best practices of software development.

• Develop and implement performance engineering strategies and roadmaps.

• Drive performance improvements across multiple projects.

Analysis and Optimization:

• Conduct in-depth analysis of performance test results to uncover systemic issues.

• Collaborate with senior development and operations teams to resolve performance bottlenecks.

• Drive performance improvements and optimizations across multiple projects.

Collaboration and Communication:

• Lead cross-functional teams in performance-related initiatives.

• Present performance test results and strategic recommendations to senior stakeholders.

• Mentor junior engineers and lead performance-related initiatives.

Documentation:

• Oversee the documentation of performance testing methodologies and results.

• Ensure comprehensive and accurate performance-related documentation.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, or related field.

• 7+ years of experience in performance testing and engineering.

• Expert proficiency with performance testing tools (e.g., JMeter, LoadRunner).

• Understanding of performance tuning, capacity planning, and optimization techniques.

• Programming skills and deep understanding of system architecture.

• Extensive experience with monitoring tools (e.g., Dynatrace, New Relic).

• Strong programming skills in Java, Python, or C++.

• Exceptional problem-solving and analytical skills.

• Proven leadership and mentoring abilities.

Preferred Qualifications:

• Advanced experience with cloud environments (AWS, Azure, GCP).

• Expertise in microservices architecture and containerization (Docker, Kubernetes).

• In- depth knowledge of CI/CD pipelines.

• Advanced understanding of database performance tuning.

• Published work or contributions to performance engineering communities.