Sr Staff Engineer

The Sr Staff Engineer - Data Path is a senior individual contributor responsible for designing, developing, and optimizing performance-critical data path components within a distributed storage and data services platform. This role focuses on the efficient movement of data through complex software systems, with an emphasis on scalability, reliability, and low-latency performance.

As a technical leader within the Infinia Engineering group, this engineer operates with broad architectural influence, partners closely with cross-functional teams, and drives best practices across the data path stack while remaining hands-on in design and implementation.

Key Responsibilities

Data Path Architecture & Development

• Design, implement, and optimize core data path components in large-scale, distributed systems.

• Contribute to system architecture decisions affecting performance, throughput, latency, and resource utilization.

• Develop high-quality, maintainable code for performance-critical paths, primarily in systems-level languages (e.g., C/C++).

Performance & Scalability

• Analyze and optimize data movement across CPU, memory, storage, and network layers.

• Identify performance bottlenecks and drive solutions through profiling, benchmarking, and tuning.

• Establish performance baselines and contribute to regression detection and prevention strategies.

Technical Leadership

• Act as a technical authority within the data path domain, influencing designs across teams.

• Lead design reviews and provide guidance on complex technical challenges.

• Mentor senior and mid-level engineers on systems design, performance engineering, and best practices.

Cross-Functional Collaboration

• Work closely with adjacent engineering teams, including platform, infrastructure, and quality engineering.

• Partner with Product Management to ensure technical feasibility and performance considerations are reflected in roadmap planning.

• Support downstream teams (e.g., solutions, customer engineering) as a subject matter expert when needed.

Quality & Operational Excellence

• Promote best practices in code quality, testing, observability, and documentation.

• Participate in incident analysis and resolution related to data path behavior in production environments.

• Contribute to long-term technical strategy and continuous improvement initiatives.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience).

• 12+ years of experience in systems software, distributed systems, or infrastructure engineering.

• Strong experience designing and implementing performance-critical software components.

• Proficiency in C/C++ or similar systems programming languages.

• Solid understanding of operating systems fundamentals, concurrency, memory management, and networking concepts.

• Proven ability to work independently on complex technical problems and influence system-level outcomes.