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Software Engineer, Backend — Dots

OpenAI

New York, NYHybridPosted 12 days ago$347,000 - $385,000/year
Full TimeSenior LevelTech & Data (Health IT)AI Biotech
Original posting ↗

Summary

Dots is looking for a Backend Engineer to build the systems that power our product. You’ll work closely with product, design, and engineering to turn ideas into reliable services and deliver features from design through production.

Job description

About the Role

Dots is looking for a Backend Engineer to build the systems that power our product. You’ll work closely with product, design, and engineering to turn ideas into reliable services and deliver features from design through production.

In this role, you will:

  • Design, build, and maintain backend services and APIs.
  • Develop data models and improve database performance.
  • Build integrations with third-party services.
  • Improve system reliability, security, and observability.
  • Write tested, maintainable code and participate in code reviews.
  • Investigate production issues and address their root causes.
  • Help shape technical decisions as the product grows.

You might thrive in this role if you have:

  • Experience building and operating backend applications in production.
  • Strong proficiency in a backend programming language.
  • Solid understanding of API design, relational databases, and data modeling.
  • Experience with cloud infrastructure, automated testing, and deployment workflows.
  • Ability to balance speed with quality and make practical technical decisions.
  • Clear communication and a collaborative approach to solving problems.

Nice to have:

  • Experience with distributed systems, background jobs, and event-driven architectures.
  • Familiarity with caching, queues, and performance optimization.
  • Experience working on a small team or an early-stage product.

Requirements

  • Experience building and operating backend applications in production
  • Strong proficiency in a backend programming language
  • Solid understanding of API design, relational databases, and data modeling
  • Experience with cloud infrastructure, automated testing, and deployment workflows
  • Ability to balance speed with quality and make practical technical decisions
  • Clear communication and a collaborative approach to solving problems
  • Experience with distributed systems, background jobs, and event-driven architectures
  • Familiarity with caching, queues, and performance optimization
  • Experience working on a small team or an early-stage product

Benefits

  • Equity
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • Health Savings Account Contributions
  • Flexible Spending Accounts
  • Commuter Benefits
  • 401(k) With Employer Match
  • Paid Parental Leave
  • Paid Medical Leave
  • Paid Caregiver Leave
  • Paid Time Off
  • Paid Company Holidays
  • Paid Sick or Safe Time
  • Mental Health and Wellness Support
  • Life Insurance
  • Disability Coverage
  • Learning and Development Stipend
  • Office Meals
  • Meal Delivery Credits
  • Relocation Support
  • Charitable Donation Matching
  • Wellness Stipends
  • Performance-Related Bonuses

Company overview

OpenAI is an artificial intelligence research laboratory and company based in San Francisco, California. Founded in 2015 by Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, Wojciech Zaremba, and John Schulman, OpenAI initially operated as a non-profit research organization before transitioning to a capped-profit model. The company's mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. OpenAI has developed groundbreaking AI technologies including GPT (Generative Pre-trained Transformer) models, DALL-E for image generation, and Codex for programming assistance. Their most notable product, ChatGPT, has revolutionized human-AI interaction and brought large language models to mainstream audiences. OpenAI conducts cutting-edge research in machine learning, natural language processing, computer vision, and reinforcement learning, while also developing practical AI applications that are transforming industries worldwide.

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