Description
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. Ready to dive into the heart of cutting-edge tech?
Your role in action
- Build our next-generation data platform tooling and servicesto support the ingestion and processing of billions of documents at scale.
- Improve and extend our Spark based distributed data processing pipeline.
- Create tools to automate and optimize processes across disciplines
- Actively 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
- 1+ year of software development experience in writing performant, commercial-grade systems and applications
- Experience with monitoring and troubleshooting production environments
- Konledge of programming languages used in high volume data processing and applications like Java or Scala or Python
- Knowledge of professional software engineering practices & software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Leverages best practices and past experiences to mentor and improve the productivity of the team
Compensation
- Compensation Relativity is committed to competitive, fair and equitable compensation practices
- This position is eligible for total compensation which includes a competitive base salary, annual performance bonus target of 10%, and long-term incentives. The expected salary range for this role is between 126 000 and 189 000 PLN gross/year (Employment Contract). The final offered salary will be based on several factors, including but not limited to the candidate’s depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.
- #LI-Hybrid
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