Backend Engineer, Finance Platforms & Scale

Robinhood

Menlo Park (CA)

On-site

USD 150,000 - 230,000

Full time

14 days+

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Benefits offered by this job

100% paid health insurance for you
Equity ownership
401(k) matching
Bonus programs

Job summary

Robinhood is seeking a Software Engineer, Backend in Menlo Park to design, build, and deploy scalable backend services and data systems for fintech products. You will advance product features, improve performance, and collaborate across engineering and product teams in a high-impact environment.

We value 2+ years of software development experience, proficiency in Go or Python, and hands-on data streaming with Kafka.

Qualifications

  • 2+ years of experience in software development.
  • Strong track record of delivering large-scope technical projects in cross-functional team environments.
  • Commitment to high standards in code quality and review processes.
  • Solid understanding of backend development, system design, and the intersection of product and engineering.
  • Proficiency in Go or Python.
  • Hands-on experience with Kafka or similar data streaming technologies.
  • Familiarity with managing and processing large-scale datasets.

Responsibilities

  • Design, build, test, and deploy scalable backend services and systems with a strong emphasis on long-term maintainability.
  • Develop product-facing features and platform enhancements that meet strict correctness and scalability standards.
  • Identify and implement improvements to system performance, engineering productivity, and risk reduction.

Skills

Go
Python
Kafka
Data streaming
Large-scale datasets

Tools

Postgres
Kubernetes
Redis
AWS

Job description

Robinhood is seeking a Software Engineer, Backend in Menlo Park to design, build, and deploy scalable backend services and data systems for fintech products. You will advance product features, improve performance, and collaborate across engineering and product teams in a high-impact environment.

We value 2+ years of software development experience, proficiency in Go or Python, and hands-on data streaming with Kafka.

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