Senior Software Engineer

Riviera Partners; New York (NY); Hybrid; USD 180,000 - 300,000; Full time

Benefits offered by this job

Medical and dental insurance

Life and disability insurance

401k match

Learning days for conferences

Gym and fitness reimbursement

Parental leave

Job summary

Riviera Partners partners with a technology-driven quantitative investment firm in New York to expand its Software Engineering organization. Engineers join verticals like ML Infrastructure & Modeling, Platform Engineering, Trading Systems, and AI & Research Engineering.

Team matching occurs after interviews based on background and interests. The role emphasizes building scalable distributed infrastructure, data pipelines, ML infrastructure for research, and reliability of mission-critical

Qualifications

• 7–10 years of software engineering experience is ideal (5–12 years range).
• Strong backend and infrastructure fundamentals: distributed systems, large-scale data, reliability, or platform engineering.
• Background from top-tier technology companies or quantitative/trading firms preferred.
• BS or MS in CS/Engineering or related technical field.

Responsibilities

• Build and own large-scale distributed infrastructure and data pipelines.
• Develop ML infrastructure powering quantitative research and ensure reliability for mission-critical platforms.
• Collaborate with researchers and data scientists to translate ideas into production systems.

Skills

C++

Java

Python

Education

Bachelor's or Master's in Computer Science/Engineering

Job description

Our client is a technology-driven quantitative investment firm that applies engineering, data science, AI/ML, and quantitative research to solve some of the world's most complex financial problems. Founded in 2001 and headquartered in New York, they are more technology company than hedge fund — engineering makes up a large portion of the organization, leadership stays hands-on as individual contributors, and the culture is built around technical depth, intellectual curiosity, and measurable impact.

This is not a trading floor. The problems here are distributed systems, massive-scale data infrastructure, ML platforms, and low-latency trading technology — and the people solving them are some of the best engineers in the industry.

The Role

We are partnering exclusively with our client on a significant expansion of their Software Engineering organization. Engineers join one of several verticals based on their background and interests, including:

• ML Infrastructure & Modeling — building the infrastructure and tooling that supports quantitative research teams
• Platform Engineering — internal platforms and tools used across the organization
• Trading Systems — systems powering live trading; C++ and low-latency focused
• AI & Research Engineering — AI and research-oriented product and services engineering

Team allocation happens after the interview process. You'll be matched based on your background, interests, and where you'd have the most impact.

What You'll Do

Depending on the team, responsibilities include building and owning large-scale distributed infrastructure, designing and scaling data pipelines, developing ML infrastructure that powers quantitative research, building reliability and observability systems for mission-critical platforms, and working closely with quantitative researchers and data scientists to turn ideas into production systems.

What They're Looking For

• 5–12 years of software engineering experience; sweet spot is 7–10 years
• Strong backend and infrastructure engineering fundamentals — distributed systems, large-scale data, reliability, or platform engineering
• Proficiency in one or more of: C++, Java, Python (Go and Rust a plus)
• Background from top-tier technology companies or quantitative/trading firms preferred
• BS or MS in Computer Science, Engineering, or a related technical field from a strong program
• Clear career progression, strong tenure, and hands-on individual contributor mindset
• NYC-based or willing to relocate; tri-state area strongly preferred

Interview Process (all virtual, ~2–4 weeks)

• Take-home coding assessment
• 3 technical interviews
• Behavioral interviews
• Fully paid medical and dental insurance for employees and dependents
• Employer-paid life and disability insurance, competitive 401k match
• Onsite gym, fitness classes, and fitness reimbursement
• Generous paid parental leave and back-up childcare
• 5 learning days annually for external conferences and training
• Fully stocked kitchens, game rooms, casual dress
• Only 5 days/month in office with regular dedicated collaboration days

Location

New York, NY — Hybrid (5 days/month in office)