Staff Software Engineer, Data Infrastructure

This is a fully remote position, open to applicants in United States.

📋 Description

• Enhance and evolve the company's comprehensive data infrastructure.

• Develop infrastructure and tools related to data.

• Work alongside various teams to improve and optimize their data utilization.

• Plan, define, and execute large-scale projects in conjunction with the team lead.

• Partner with engineers to boost team efficiency and delivery timelines.

• Assist in outlining the team’s technical roadmap aligned with strategic engineering objectives.

• Mentor and nurture other engineers, contributing to the development of the company’s engineering culture.

• Oversee intricate initiatives from requirement gathering and thorough system design through to deployment.

• Assess related technologies and collaborate with stakeholders effectively.

• Construct scalable data infrastructure while enhancing the developer experience.

• Manage data cataloging, versioning, and lineage for both research and production workflows.

• Offer technical expertise to both engineering and research personnel.

⛳️ Requirements

• Bachelor’s degree in Computer Science / Engineering (or an equivalent field).

• Over 8 years of pertinent software engineering experience.

• Demonstrated expertise in software design and implementation with a focus on correctness, robustness, efficiency, and scalability.

• Experience with substantial codebases and the development of modular, extensible, and maintainable software.

• Proficient in a modern programming language such as Python, Go, Java, or C++.

• Practical experience in a Linux/UNIX environment.

• Proven experience in designing and implementing scalable services and APIs, high-availability systems, and/or large-scale data infrastructure.

• Familiarity with data storage and management technologies such as PostgreSQL, Artifactory, Ceph, or Redis.

• Strong communication abilities with a knack for conveying complex concepts in a clear and straightforward manner.

• Preference for familiarity with Kubernetes and Docker.

• Preference for familiarity with Iceberg, BigQuery, Snowflake, DynamoDB, Trino/Athena.

• Preferred experience in constructing data platforms with a focus on developer experience.

• Preference for familiarity with Airflow or Slurm.

• Must be legally authorized to work in the United States.

🏝️ Benefits

• Highly competitive compensation and benefits packages.

• Technology talks featuring expert speakers.

• A beautiful, modern office environment.

• Daily catered lunches.

• Bonus compensation opportunities.

• Comprehensive medical, dental, and vision coverage.

• Life and AD&D insurance provided.

• 20 days of paid time off.

• 9 sick days annually.

• 401(k) plan with company matching contributions.

• Potential for a $15,000 referral bonus for successfully hired and employed referrals.