Staff Engineer

Wintermeyer Ventures; San Francisco (CA); On-site; USD 250,000 - 320,000; Full time

Benefits offered by this job

Base salary: $250,000 to $320,000 per/

Job summary

Wintermeyer Ventures is seeking a backend-focused engineer to own the architecture of real-time voice and compliance workflows for fintech. You will guide design across backend, infrastructure, and AI reliability to deliver dependable production systems.

This role emphasizes building resilient distributed systems on Kubernetes, achieving sub-700ms latency, and leading features from design to deployment in a regulated financial services context.

Qualifications

• Three to ten years of software engineering experience, with at least three years required.
• A computer science degree and strong computer science fundamentals.
• Experience owning production backend services end to end, beyond frontend engineering.
• Experience designing databases, optimizing database performance, and building distributed systems with reliability and fault tolerance.
• Familiarity with Python, Kubernetes, event-driven architecture, LLMs, and real-time backend systems; the role is language-agnostic, with Python used primarily by the team.
• Experience in a startup or smaller company, or experience combining larger-company and smaller-company environments, is a plus.
• Production AI or machine learning experience is a plus; prior agent-building experience is not required.

Responsibilities

• Architect and own core systems that support real-time voice and compliance workflows.
• Improve performance and reliability, with sub-700ms latency through event-driven architecture and parallel processing.
• Collaborate with a seven-person engineering team and company leadership across infrastructure, backend, and AI reliability.
• Deploy, operate, and scale resilient distributed systems on Kubernetes.
• Lead features from design through production deployment in financial services environments.
• Build and refine AI systems using customer interactions and human feedback signals.

Skills

CS fundamentals

Production backend ownership

Distributed systems design

Performance optimization

Startup experience

Education

Bachelor's degree in Computer Science

Tools

Python

Kubernetes

LLMs

Job description

About the Role

Join a small fintech engineering team building real-time AI voice and compliance workflows for financial services. You will own architecture and delivery across backend, infrastructure, and AI reliability, helping bring dependable systems into production.

What You'll Do

• Architect and own core systems that support real-time voice and compliance workflows.
• Improve performance and reliability, with a focus on sub-700ms latency through event-driven architecture and parallel processing.
• Work closely with a seven-person engineering team and company leadership across infrastructure, backend, and AI reliability.
• Deploy, operate, and scale resilient distributed systems on Kubernetes.
• Lead features from design through production deployment in financial services environments.
• Build and refine AI systems using customer interactions and human feedback signals.

What We're Looking For

• Three to ten years of software engineering experience, with at least three years required.
• A computer science degree and strong computer science fundamentals.
• Experience owning production backend services end to end, beyond frontend engineering.
• Experience designing databases, optimizing database performance, and building distributed systems with reliability and fault tolerance.
• Familiarity with Python, Kubernetes, event-driven architecture, LLMs, and real-time backend systems; the role is language-agnostic, with Python used primarily by the team.
• Experience in a startup or smaller company, or experience combining larger-company and smaller-company environments, is a plus.
• Production AI or machine learning experience is a plus; prior agent-building experience is not required.

Compensation & Benefits

Base salary: $250,000 to $320,000 annually. Visa sponsorship is available.

Location

On-site in San Francisco, United States.