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Senior Software Engineer - Distributed Systems

Jobot

Dallas (TX)

Hybrid

USD 165,000 - 275,000

Full time

3 days ago
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Job summary

Join a rapidly scaling AI-driven platform as a Senior Software Engineer focused on distributed systems. This role offers the opportunity to architect and enhance a core data syncing engine that handles terabyte-scale data movements with low latency and high reliability. You'll be part of a culture that values outcomes over micromanagement, providing a great work-life balance. Contribute to high-impact technical decisions and shape systems that drive the company forward in a supportive environment. If you're passionate about building scalable infrastructure, this is the perfect opportunity for you.

Benefits

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

Qualifications

  • 3+ years of experience in distributed systems engineering.
  • Proven track record in building large-scale data processing systems.

Responsibilities

  • Architect and enhance the core data syncing engine.
  • Optimize data synchronization processes for high performance.
  • Collaborate with teams to resolve scalability challenges.

Skills

Distributed Systems Engineering
Data Synchronization
Streaming Services
Multi-cloud Architectures
Communication Skills

Education

Bachelor's degree in Computer Science

Job description

Senior Software Engineer - Distributed Systems
Senior Software Engineer - Distributed Systems

4 days ago Be among the first 25 applicants

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

Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!

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 are someone who has 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 you'll make high-impact technical decisions and shape the systems that drive the company forward.



Why join us?


Culture

  • Outcomes based, 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
  • 401K + match
  • PTO, vacation, sick, and much more!

Job Details

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 stringent 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 requirements.
  • Collaborate with cross-functional teams to identify and resolve scalability and reliability challenges in a rapidly growing infrastructure.
  • Contribute to the development of APIs and services that enable real-time personalization and data activation for enterprise clients.

Requirements

  • Bachelor's degree in Computer Science or a related field, with a minimum of 3+ years of experience in distributed systems engineering.
  • Proven track record in building and scaling distributed systems that handle large-scale data processing.
  • Expertise in designing and implementing systems design, data synchronization, or streaming services that are critical to business operations.
  • Experience with multi-cloud architectures and deploying systems across various cloud providers and regions.
  • Strong communication skills, with the ability to work collaboratively in a high-autonomy environment.
  • Background in high-growth tech startups, particularly those that have undergone significant scaling phases.

Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.

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Click our Jobot logo and follow our LinkedIn page!

Seniority level
  • Seniority level
    Not Applicable
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering and Information Technology
  • Industries
    IT Services and IT Consulting and Software Development

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