Rust - Python - Data & Backend Engineer

At Engineering, team members have significant scope for ownership, and lots of room to grow. We take a forward-looking approach to growth, e.g. promoting our work through technical blog posts, conference presentations, and open source initiatives. Team members could grow into leads/managers, or deepen their technical expertise as individual contributors.

Responsibilities

• Architect backend systems with the right choices of technical components.
• Develop and maintain backend servers and pipelines with a focus on performance and efficiency.
• Develop and maintain in-house databases and indexes, and adopt compatible and mature solutions to enrich the team’s technology infrastructure.
• Optimize across the backend/data Python stack, with more suitable architecture or Rust extension modules.
• Work with PB-scale data on cloud storage, create storage patterns and write accessors for the product stack to serve user queries.
• Extract and transform TBs of hot data between different storage backends to generate insights and carry out migrations.

Requirements

• Strong familiarity with the Python backend/data ecosystem, e.g. NumPy, Pandas, Polars, etc.
• Proficiency with systems languages (prefer Rust), and computing fundamentals.
• Strong experience with high-performance databases, e.g. ScyllaDB, RocksDB, DuckDB and mastery of common query patterns, such as point lookup and parallel iterator scans.
• Strong familiarity with common data formats, e.g. MessagePack, Protobuf, Arrow, Parquet, etc.
• A proven record of implementing data intensive systems, and working knowledge debugging common bottlenecks.
• Experience with job queues for data pipelines, e.g. Redis, Celery, Amazon SQS, etc.
• 4+ years of experience in data engineering or systems programming.
• BS/MS in Computer Science, Engineering, or equivalent experience.
• Experience working in cross-functional teams.

Bonus Requirements

• Hands-on experience with vector data, in archival log formats or vector indexes/databases, e.g. Faiss, HNSWLIB, Qdrant.
• Experience writing Python extensions in Rust/C++, or general cross-language interfaces.
• Public GitHub and portfolio repositories showcasing an organic interest in systems engineering.

Our Tech Stack

• Languages: Python, Rust
• Databases: In-house implementations of deca-billion scale vector indexes, K-V stores, ScyllaDB, Qdrant
• Dev tools: Docker, Docker Compose

Benefits

• Medical, Dental, Vision, Life Insurance, STD and LTD Plans
• FSA - Medical and Dependent Care
• EAP and wellness programs
• Productivity stipends
• 13 Paid Holidays
• Unlimited PTO
• Flexible work environment - 100% remote
• Bi-annual company/team meetups
• 401(k) plan with employer matching contributions
• Annual review for salary raises

Compensation

• Base Salary: $150,000–$200,000
• Equity: Participation in company stock plan
• Bonus: Annual target bonus of 10% (based on performance)

Actual compensation depends on experience, skills, and location.

Application Questions

To apply, please answer the following questions:

• What are you most passionate about when it comes to backend & data systems? What have you done for it in the past?
• What is your experience with Python and Rust? Any Rust project related to data processing that you worked on? Please reference a project link if public.
• What are some of the notable backend services you have worked on directly in your previous positions?
• Do you have a GitHub page or portfolio/project site? Please post some projects or blog posts that best capture your work/thoughts.
• Are you currently located in the US?
• What is your salary expectation?

Send your answers and resume to [email protected]