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Senior Software Engineer - Distributed Systems

Jobot

Sioux Falls (SD)

Remote

USD 165,000 - 275,000

Full time

30 days ago

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Job summary

A high-growth AI-driven startup is seeking a Senior Software Engineer specializing in distributed systems. This role involves architecting a data syncing engine for terabyte-scale data movements, ensuring high throughput and low latency. Join a team that values work-life balance and offers competitive salaries with equity options.

Benefits

Competitive Salary + Equity
Fully covered health, dental, & vision insurance
401K + match
PTO, vacation, sick leave, and more

Qualifications

  • 3+ years in distributed systems engineering.
  • Experience with multi-cloud architectures.

Responsibilities

  • Architect and enhance the core data syncing engine.
  • Optimize data synchronization processes for performance.
  • Develop real-time streaming capabilities.

Skills

Distributed Systems Engineering
Data Synchronization
Streaming Services
Communication

Education

Bachelor's degree in Computer Science

Job description

Senior Software Engineer - Distributed Systems

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This range is provided by Jobot. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$165,000.00/yr - $275,000.00/yr

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Job details

High-Growth Data Startup is looking for a Senior Software Engineer to join their growing team!

This Jobot Job is hosted by Sydney Weaver.

Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.

Salary: $165,000 - $275,000 per year

A Bit About Us

A rapidly scaling AI-driven platform, backed by top-tier investors including Y Combinator, Sapphire Ventures, and ICONIQ Growth, is seeking a seasoned Distributed Systems Engineer. This is a critical, high-priority role focused on building the engine that enables syncing terabytes of data daily with low latency and high reliability.

Ideally, you have built large-scale, production-grade infrastructure that reliably moves massive volumes of data—terabytes per day—with low latency and high throughput. You’ve likely architected streaming or event-based systems that support critical workflows, and you know how to scale infrastructure through aggressive growth. This is a role with real ownership where you'll make high-impact technical decisions and shape the systems that drive the company forward.

Why join us?
  • Outcome-based culture with no micro-management or unnecessary meetings. We trust our team and get out of the way.
  • Great work-life balance. We believe you can't do more than 6-8 hours of great engineering work in a day.
Benefits
  • Open to onsite or remote candidates with offices in NY and SF.
  • Competitive Salary + Equity.
  • Fully covered health, dental, & vision insurance.
  • 401K + match.
  • PTO, vacation, sick leave, and more.
Job Responsibilities
  • Architect and enhance the core data syncing engine, ensuring high throughput and low latency for terabyte-scale data movements.
  • Optimize data synchronization processes to meet performance benchmarks, including sub-30ms p90 response times and handling millions of QPS.
  • Develop and implement real-time streaming capabilities, integrating sources like webhooks and message queues.
  • Design systems for multi-region and multi-cloud deployments, addressing data residency and compliance.
  • Collaborate with cross-functional teams to resolve scalability and reliability challenges.
  • Contribute to APIs and services enabling real-time personalization and data activation for enterprise clients.
Minimum Requirements
  • Bachelor's degree in Computer Science or related field, with 3+ years in distributed systems engineering.
  • Proven experience building and scaling large-scale data processing systems.
  • Expertise in designing systems, data synchronization, or streaming services critical to business.
  • Experience with multi-cloud architectures across various providers and regions.
  • Strong communication skills and ability to work autonomously.
  • Background in high-growth startups that have scaled significantly.

Interested? Easy Apply now by clicking the "Easy Apply" button.

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