Senior Fullstack Software Engineer - Billing & Identity at Lambda
San Francisco, California, USA -
Full Time


Start Date

Immediate

Expiry Date

07 Jul, 25

Salary

380000.0

Posted On

08 Apr, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

In 2012, Lambda started with a crew of AI engineers publishing research at top machine-learning conferences. We began as an AI company built by AI engineers. That hasn’t changed. Today, we’re on a mission to be the world’s top AI computing platform. We equip engineers with the tools to deploy AI that is fast, secure, affordable, and built to scale. Whether they need powerhouse GPU hardware on-site or the flexibility of cloud-based solutions, we’ve got the horsepower to make it happen. Lambda’s AI Cloud has been adopted by the world’s leading companies and research institutions including Anyscale, Rakuten, The AI Institute, and multiple enterprises with over a trillion dollars of market capitalization. Our goal is to make computation as effortless and ubiquitous as electricity.

If you’d like to build the world’s best deep learning cloud, join us.

  • Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

SALARY RANGE INFORMATION

Based on market data and other factors, the salary range for this position is $200,000-$380,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

Responsibilities
  • Build responsive, feature-rich React applications that enable customers to monitor and manage their usage, billing and payment methods in lambda cloud dashboard
  • Optimize applications for speed and efficiency
  • Create robust communication architectures to interface with internal and third-party services/APIs
  • Work on the architecture of our distributed systems to ensure best-in-class reliability and efficiency, while helping to minimize operational costs and toil work
  • Build products that provide billing and identity for a wide range of AI products that will be launched by Lambda
  • Handle interesting and dynamic scaling, hardware and scheduling challenges in a very dynamic and rapidly changing industry sector
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