MongoDB
Android TestingRole Overview: We are seeking a highly experienced and technically proficient Lead Performance & Reliability Engineer to join our dynamic team. The ideal candidate will possess a deep understanding of performance testing methodologies across mobile and web platforms, with hands-on expertise in industry-leading tools. You will be instrumental in ensuring the scalability, stability, and responsiveness of our critical systems, from initial design to production monitoring. A strong background in site reliability engineering principles, coupled with a proactive approach to identifying and resolving performance bottlenecks, is essential.
Key Responsibilities:
- Performance Strategy & Execution:
- Lead the design, development, and execution of comprehensive performance testing strategies for complex mobile (iOS/Android) and web applications.
- Define performance SLAs, identify key performance indicators (KPIs), and establish performance baselines.
- Conduct various types of performance tests including load, stress, scalability, endurance, and failover testing.
- Tooling & Automation Expertise:
- Utilize and optimize leading performance testing tools such as LoadRunner and JMeter to simulate realistic user loads and analyze system behavior.
- Develop robust, scalable, and maintainable performance test scripts across diverse protocols.
- Implement and integrate performance testing into CI/CD pipelines for continuous performance validation.
- Monitoring & Observability:
- Leverage monitoring and observability platforms like Datadog, Splunk, and Kibana for real-time performance monitoring, root cause analysis, and proactive issue detection in production environments.
- Configure dashboards, alerts, and reports to provide actionable insights into system health and performance trends.
- System Analysis & Optimization:
- Perform in-depth analysis of performance test results and production metrics to identify bottlenecks in application, database, and infrastructure layers.
- Collaborate closely with development, architecture, and operations teams to recommend and implement performance improvements.
- Deep dive into SQL Queries and MongoDB performance, optimizing database schemas, queries, and indexing for optimal throughput.
- Chaos Engineering & Resiliency:
- Familiarity with Gremlin or similar chaos engineering platforms to proactively identify and address system weaknesses under adverse conditions.
- Contribute to building resilient and fault-tolerant systems.
- Architectural & Methodological Leadership:
- Apply principles of SAFe (Scaled Agile Framework) or similar agile methodologies to integrate performance engineering practices seamlessly into the software development lifecycle.
- Work closely with architects and developers to ensure performance considerations are embedded from the design phase.
- Data Management & Scripting:
- Proficiency in writing and optimizing complex SQL Queries for performance analysis and data manipulation.
- Strong Scripting skills (e.g., Python, Java, JavaScript, Shell Scripting) for test automation, data generation, and custom tool development.
- Experience with MongoDB for NoSQL database performance analysis and optimization.
- Emerging Technologies & AI:
- Exposure to or keen interest in utilizing AI/ML-driven tools for performance analysis and optimization, including understanding the capabilities of Azure Copilot or similar AI assistants in a development context.
- Mentorship & Collaboration:
- Mentor junior engineers and share best practices in performance engineering.
- Foster a culture of performance awareness and reliability across engineering teams.
Required Skills & Experience:
- 9-12 years of progressive experience in Performance Testing, Performance Engineering, or Site Reliability Engineering.
- Demonstrable expertise in Mobile Performance Testing for both iOS and Android platforms.
- Hands-on mastery of LoadRunner and JMeter for performance test script development and execution.
- Extensive experience with performance monitoring tools such as Datadog, Splunk, and Kibana.
- Solid understanding of database performance concepts and hands-on experience with SQL Queries and MongoDB.
- Proven ability in at least one major scripting language (e.g., Python, JavaScript, Java, Shell).
- Experience with or strong understanding of Agile methodologies, preferably SAFe.
- Familiarity with Chaos Engineering principles and tools (e.g., Gremlin).
- Understanding of cloud platforms (Azure preferred) and exposure to AI-assisted development tools like Azure Copilot is a plus.
- Strong analytical, problem-solving, and debugging skills.
- Excellent communication and collaboration abilities.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Shubham Vishwakarma
Full Stack Developer - Averlon
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