
Staff Software Engineer – Tableflow
Confluent
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $256,400 - $301,300 per year
Job Level
Lead
Tech Stack
ApacheCloudDistributed Systems
About the role
- Design and implement innovative strategies for table schematization, materialization, and compaction at massive scale.
- Build and maintain multi-tenant, highly available infrastructure that powers background computational tasks for Kora’s long-term storage.
- Guide and mentor team members in contributing to relevant open-source projects such as Apache Iceberg.
- Set the standard for engineering excellence and act as a trusted advisor for both internal and cross-functional teams.
- Collaborate with product management, design, and other engineering teams to ensure seamless integration of storage features and infrastructure.
Requirements
- BS, MS, or PhD in computer science or a related field, or equivalent work experience
- Proven experience designing and building large-scale, distributed storage systems.
- Deep knowledge of distributed systems concepts, including fault tolerance, consistency, and scalability.
- Expertise in modern cloud-based infrastructure and multi-tenant environments.
- Strong leadership skills with a demonstrated ability to mentor and guide engineers to success.
- Excellent communication and collaboration skills, with the ability to influence and guide stakeholders at all levels.
Benefits
- Offers Equity 📊 Resume Score Upload your resume to see if it passes auto-rejection tools used by recruiters Check Resume Score
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
table schematizationmaterializationcompactionlarge-scale storage systemsdistributed systemsfault toleranceconsistencyscalabilitycloud-based infrastructuremulti-tenant environments
Soft skills
leadershipmentoringcommunicationcollaborationinfluencingguiding stakeholders
Certifications
BS in computer scienceMS in computer sciencePhD in computer science