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
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Design, implement, and optimize core data path components in large-scale, distributed systems.
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Contribute to system architecture decisions affecting performance, throughput, latency, and resource utilization.
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Develop high-quality, maintainable code for performance-critical paths, primarily in systems-level languages (e.g., C/C++).
Performance & Scalability
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Analyze and optimize data movement across CPU, memory, storage, and network layers.
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Identify performance bottlenecks and drive solutions through profiling, benchmarking, and tuning.
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Establish performance baselines and contribute to regression detection and prevention strategies.
Technical Leadership
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Act as a technical authority within the data path domain, influencing designs across teams.
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Lead design reviews and provide guidance on complex technical challenges.
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Mentor senior and mid-level engineers on systems design, performance engineering, and best practices.
Cross-Functional Collaboration
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Work closely with adjacent engineering teams, including platform, infrastructure, and quality engineering.
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Partner with Product Management to ensure technical feasibility and performance considerations are reflected in roadmap planning.
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Support downstream teams (e.g., solutions, customer engineering) as a subject matter expert when needed.
Quality & Operational Excellence
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Promote best practices in code quality, testing, observability, and documentation.
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Participate in incident analysis and resolution related to data path behavior in production environments.
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Contribute to long-term technical strategy and continuous improvement initiatives.
Required Qualifications
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Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience).
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12+ years of experience in systems software, distributed systems, or infrastructure engineering.
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Strong experience designing and implementing performance-critical software components.
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Proficiency in C/C++ or similar systems programming languages.
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Solid understanding of operating systems fundamentals, concurrency, memory management, and networking concepts.
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Proven ability to work independently on complex technical problems and influence system-level outcomes.
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