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Backend Engineer; General

Job in Menlo Park, San Mateo County, California, 94029, USA
Listing for: Apolis
Full Time position
Listed on 2026-02-16
Job specializations:
  • Software Development
    Backend Developer, Software Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Backend Engineer (General)

Backend Engineer (General)

Remote 100%

Direct Client

Long Term

About the Team and Role

Today, market data platform is not a singular feature; it spans the entire user experience with a foundational service that provides data to power experiences across asset class such as advanced charts, new trading, hours, portfolio views, and even new areas that will be going out to the world soon; nearly every feature operates with some market data involvement.

What you’ll do
  • Build scalable systems and components, making the right trade-offs to account for stability and long term maintainability.
  • Design, write, test and release product‑facing features with stringent correctness and scalability requirements to support core brokerage and clearing system.
  • Identify opportunities to improve system performance, team productivity and reduce risks.
  • Support core backend for brokerage and clearing.
  • Collaborate closely with product managers, other engineering and operational teams.
  • Mentor junior developers on the team and lead projects of large complexity.
What you bring
  • 3+ years of software developer experience.
  • You have a track record of successfully collaborating with cross‑functional teams and delivering large‑scope technical projects, setting a high standard for code quality and code review processes.
  • You deeply understand design, product, and backend development discipline so that you can work effectively with the team.
  • 3 years’ experience with Go & Python.
  • Familiarity with other parts of the team’s tech stacks – Postgre

    SQL, K8s, Redis, AWS or similar.
  • Experience with Kafka and data streaming technologies.
  • Experience with handling/processing large amount of data.
  • Bonus: experience at a Fin‑tech company or financial firm working on market data system.
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