Job Details

Posting Type

Hybrid

Job Overview

Join our team as we innovate the future of data platform architecture, enabling massive scaling and data processing for ML and Gen AI projects. You'll be at the forefront of processing vast unstructured data, building high-throughput APIs, and supporting distributed compute frameworks for seamless model deployment.

Job Description and Requirements

Your role in action

• Assist in building our next-generation data platform tooling and services to support the ingestion and processing of large volumes of documents at scale. Contribute to improving and extending our Spark-based distributed data processing pipeline.
• Help enhance our Rust-based distributed query engine used to request large amounts of document data.
• Create tools to automate and optimize processes across disciplines.
• Participate in the on-call schedule to investigate and fix production issues related to our data processing pipeline or query engine.
• Participate in code reviews for projects written by your team.
• Focus on quality through comprehensive unit and integration testing.

Your Skills

• 6+ years of software development experience in writing performant, commercial-grade systems and applications
• Experience with monitoring and troubleshooting production environments
• Proficiency in programming languages used in high volume data processing and applications like Java, Scala, and Python
• Experience building data pipelines with distributed compute frameworks like Hadoop, Spark, or Dask
• Knowledge of Linux/Unix systems, Docker/Kubernetes, and CI/CD including scripting in Python or other scripting languages to automate build and deployment processes
• Knowledge of professional software engineering practices & software development lifecycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Leverages best practices and past experiences to mentor and improve team productivity

We'd particularly love it if you have: Deep experience building and debugging distributed data pipelines, experience with columnar databases and storage formats like Delta Lake and Parquet, experience deploying and managing services on Kubernetes, and building with Rust.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation, including a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between $150,000 and $224,000.

The final offered salary will depend on factors such as experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range is uncommon to allow for future salary growth.