Nextracker - Senior Performance Engineer

Job Description :

Key Responsibilities :

- Design and Strategy : Develop comprehensive performance test strategies, plans, and scenarios for large scale applications, APIs, databases, and microservices.

- Performance Testing & Analysis : Conduct various types of performance tests, including load, stress, endurance, scalability, and spike testing, using industry-standard tools. Analyze test results to identify

bottlenecks, performance degradation, and areas for optimization.

- Root Cause Analysis : Perform deep-dive analysis of performance issues, utilizing profiling tools, system metrics, and logs to pinpoint root causes in code, infrastructure, database, or network.

- Optimization & Tuning : Collaborate closely with development, architecture, and operations teams to recommend and implement performance tuning and optimization strategies across the full technology stack.

- Tooling & Frameworks : Evaluate, select, implement, and maintain performance testing tools, monitoring solutions, and frameworks. Drive the automation of performance testing within CI/CD pipelines.

- Mentorship & Best Practices : Provide technical leadership and mentorship to junior engineers. Champion performance engineering best practices, foster a performance-aware culture, and contribute to architectural reviews.

- Reporting & Communication : Prepare clear, concise, and actionable performance reports and present findings and recommendations to technical and non-technical stakeholders.

- Capacity Planning : Contribute to capacity planning initiatives by providing data-driven insights on system behavior under various loads.

- Stay Current : Continuously research and evaluate new technologies, tools, and methodologies in performance engineering, cloud computing, and software Qualifications :

- Education : Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related technical field.

- Experience : 5+ years of progressive experience in performance engineering, performance testing, and system optimization in a large-scale, enterprise environment.

- Core CS Fundamentals : Strong understanding of algorithms, data structures, operating systems, computer networks, and database principles.

- Problem-Solving : Exceptional analytical and problem-solving skills with the ability to diagnose and resolve complex performance issues in distributed Skills :

- Performance Testing Tools : Expertise with at least one major performance testing tool (e.g., JMeter, LoadRunner, Gatling, K6, NeoLoad, BlazeMeter).

- Programming/Scripting Languages : Strong proficiency in at least one object-oriented programming language (e.g., Java, Python, C#, Go) and scripting languages (e.g., Python, Shell scripting, JavaScript).

- Performance Monitoring & APM Tools : Hands-on experience with Application Performance Management (APM) tools (e.g., Dynatrace, AppDynamics, New Relic, Prometheus, Grafana, Splunk) for real-time monitoring and analysis.

- Cloud Platforms : Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud Platform) and understanding of cloud-native architectures, containerization (Docker, Kubernetes), and serverless functions.

- Databases : Solid understanding of database performance tuning (SQL, NoSQL), query optimization, and experience with database monitoring tools (e.g., Oracle, MySQL, PostgreSQL, MongoDB, Cassandra).

- Operating Systems : Proficiency with Linux/Unix operating systems, including command-line tools for system monitoring and troubleshooting.

- Web Technologies : In-depth knowledge of web protocols (HTTP/S), RESTful APIs, microservices architectures, and frontend performance optimization techniques.

- CI/CD & Automation : Experience integrating performance tests into Continuous Integration/Continuous Delivery (CI/CD) pipelines (e.g., Jenkins, GitLab CI, Azure DevOps).

- Version Control : Proficient with version control systems (e.g., Git).

Preferred Qualifications :

- Master's degree in Computer Science or a related field.

- Certifications in performance engineering, cloud platforms, or relevant technologies.

- Experience with performance engineering for mobile applications.

- Familiarity with chaos engineering principles and practices.

- Prior experience in a leadership or mentoring role.

(ref:hirist.tech)

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