Sr. Staff Engineer - Data Path
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 23h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 40d ago
The date the source published, not the day we noticed it (2026-08-06). Last seen at its source just now.
Is it remote?
Remote - North Carolina
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
North Carolina
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $197.4k–260k/yr
Middle 50% of 572 listings that do state pay — Engineering · Lead · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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ashby employer's own board first seen 34d ago · last seen just now
The listing
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.