The Senior Member of Technical Staff (SMTS) is a high-level senior engineer and you are a performance and scale subject matter expert who drives innovation, designs high-scale automation frameworks, and ensures product reliability. You don't just find bottlenecks—you prevent them through architectural influence, database tuning, and expert root cause analysis

Role:

• Lead performance efforts for multi-team projects. Design traffic models, establish scale goals, and implement sophisticated automation and monitoring strategies.

• Act as the expert in database tuning and system optimizations. Drive design meetings by questioning implementation choices and proposing performant alternatives.

• Rapidly build POCs to test ideas. Lead research spikes and "fail fast" prototypes to address critical scale issues.

• Partner with Product Managers to align features with customer usage patterns. Ensure performance is a core part of the Definition of Done (DoD).

• The Multiplier Effect: Coach AMTS, and MTS engineers. Lead code and design reviews, sharing deep product expertise to elevate the team’s technical bar.

• Manage features from initial design through production deployment and post-release support. Own the resolution of the most complex, systemic performance issues.

Requirements:

• Regular use of AI tools for automation and performance work.

• A good understanding of enterprise architecture principles is strongly preferred

• Experience as a developer building platforms and applications.

• Experience in building automation tools.

• Coding experience in Java, C, Python, Ruby on Rails and knowledge of modular design.

• Deep knowledge of Java and its internals, including JVM performance tuning, GC mechanisms, and familiarity with Java Profiling (e.g., JProfiler, YourKit).

• Expert-level understanding of key performance metrics associated with throughput, latency, memory, CPU, disk & network, and the ability to debug bottlenecks associated with any of them.

• Familiarity with NoSQL data stores and transport systems such as Spark, Storm, Cassandra, Kafka is a plus.

• Hands-on experience in open source load test tools.

• Expert in profiling, instrumentation, load generation tools, and database optimization.

• Proven track record in API design, concurrency, and resource efficiency for massive scale.

• Strong communicator able to present technical findings to both executives and architects.

• Constantly generates and validates new ideas.

• Manages technical debt and provides a long-term vision for performance.

• Excels at Root Cause Analysis (RCA) and complex optimization