Staff Software Engineer – Real-Time Trading Backend

Robinhood; New York (NY); On-site; USD 260,000 - 340,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Equity ownership

Bonus programs

Life insurance

Disability insurance

Fertility benefits

Mental health benefits

Paid time off

Parental leave

Catered meals

Lifestyle wallet

Job summary

Robinhood is seeking a Staff Engineer to own the technical roadmap for core Prediction Markets backend systems and design highly scalable, low-latency services for real-time trading.

You will lead engineering excellence initiatives, mentor team members, and collaborate with cross-functional partners to drive architectural improvements.

This role requires 10+ years of backend experience with a proven track record in large-scale distributed systems and building for millions of users.

Qualifications

• 10+ years of backend engineering experience at Staff Engineer level.
• Expertise in leading large-scale distributed systems and building for millions of end users.

Responsibilities

• Own the technical roadmap for core Prediction Markets backend systems.
• Design highly scalable, low-latency services for real-time trading.
• Lead engineering excellence initiatives and mentor team members.
• Collaborate with cross-functional partners to drive architectural improvements.

Skills

Backend

Distributed systems

System architecture

Scalability

Low-latency

Real-time trading

Financial systems

Engineering leadership

Mentorship

Code quality

Observability

Resilience

B2C experience

Technical roadmap

Job description

Robinhood is seeking a Staff Engineer to own the technical roadmap for core Prediction Markets backend systems and design highly scalable, low-latency services for real-time trading.

You will lead engineering excellence initiatives, mentor team members, and collaborate with cross-functional partners to drive architectural improvements.

This role requires 10+ years of backend experience with a proven track record in large-scale distributed systems and building for millions of users.