Senior Site Reliability Engineer, Performance

Requirements Must have:

• We prefer a bachelors degree in Computer Science, Computer Systems, Information Technology, or a closely related discipline, or equivalent hands‑on experience.
• We need advanced knowledge of web applications and distributed systems infrastructure.
• We need strong verbal and written communication skills for technical and non-technical audiences.
• We need experience in performance bottleneck analysis and designing systems for scale.
• We need experience with Java Virtual Machine internals and garbage collection tuning.
• We need experience with one or more of the following: database internals, server or operating system internals, storage system internals, or performance scaling for similar platforms.
• We need experience building automated performance regression test suites for low‑latency, high‑throughput financial applications.
• We need experience identifying bottlenecks across application code, databases, cache layers, data stores, servers, networks, messaging queues, and streaming platforms.
• We need experience evaluating issues end to end, from edge components through application tiers and databases.
• We need experience working directly with internal stakeholders, resolving issues, and providing performance engineering leadership.
• We need working knowledge of AI‑assisted development and analysis methods, including prompt‑based script generation, automation workflow creation, test result summarization, and root‑cause analysis support.
• Preferred experience includes Java, Python, Scala, or other programming and scripting languages.
• Preferred experience includes Bitbucket, Maven, Jenkins, Gatling, and Blaze Meter.
• Preferred experience includes migrating legacy on‑premises testing suites to cloud‑native environments.
• Preferred experience includes moving performance testing suites from Load Runner to Gatling or Blaze Meter.
• Preferred experience includes strong software performance analysis, bottleneck identification, scaling, and automation expertise.
• Preferred experience includes using AI‑enabled tools or large language models to generate, refine, explain, or optimize performance testing scripts, automation utilities, and troubleshooting workflows.
• Preferred experience includes applying AI‑assisted analysis to performance metrics, logs, traces, dashboards, and incident data.
• Preferred experience includes familiarity with responsible AI practices, including validating AI‑generated outputs, protecting sensitive data, and aligning with enterprise security and compliance expectations.
• We value initiative, ownership, attention to detail, customer focus, adaptability, and the ability to prioritize multiple efforts.
• We value the ability to learn new technologies quickly and apply them effectively.
• We value responsible use of AI and automation tools to improve productivity, analytical quality, and consistency while maintaining sound engineering judgment.
• We value a strong analytical mindset and the ability to turn performance data, AI‑assisted insights, and operational signals into clear recommendations.
• We value the ability to collaborate effectively with team members across multiple geographies.
• We value excellent teamwork and cross‑functional collaboration skills.
• We value the ability to provide positive, professional support to internal and external business partners.

• We partner with site reliability engineers and performance engineers to test and tune ABU services before production release through automated test suites, system design consulting, bottleneck analysis, chaos testing, capacity planning, and launch reviews.
• We build, manage, and maintain robust performance testing suites.
• We measure and monitor availability, latency, throughput, performance, and overall system health, and we communicate results and recommendations clearly.
• We scale systems sustainably through automation and recommend improvements that strengthen reliability, speed, and performance.
• We review production incidents, identify contributing factors, and drive changes that reduce recurrence.
• We manage project priorities, deadlines, and deliverables independently.
• We apply an automation‑first mindset and automate repetitive…