Founding Platform Engineer

Wintermeyer Ventures; New York (NY); On-site; USD 190,000 - 260,000; Full time

Job summary

Wintermeyer Ventures is seeking its first dedicated platform engineer to own the infrastructure and data platform. You will build reliable, high-performance systems that support real-time data processing and product growth.

With 4–10 years of backend/platform experience, you will shape the roadmap for performance, reliability, and scale, collaborating closely with product engineers and leadership to deliver scalable solutions for large consumer businesses.

Qualifications

• 5+ years in backend/platform engineering or related field.
• Proven track record building scalable data-intensive systems and pipelines.
• Experience with real-time data processing stacks and distributed architectures.

Responsibilities

• Own and operate the data platform and infrastructure.
• Set roadmap for performance, reliability, and scale.
• Collaborate with product engineers and leadership to build scalable systems for large users.
• Develop services and pipelines for high job volumes, evaluating Kafka and other technologies.
• Build data materialization and query capabilities for fast joins/aggregations.

Skills

Real-time data processing

Platform engineering

Data infrastructure

Kafka

Python

ClickHouse

PostgreSQL

Distributed systems

OLAP/OLTP databases

System architecture

Job description

About the Role

Join an early-stage marketing technology company as its first dedicated platform engineer. You will own the infrastructure and data platform, building reliable, high-performance systems that support real-time data processing and product growth.

What You\'ll Do

• Build and operate the platform that ingests and processes high volumes of real-time data.
• Take ownership of infrastructure and data platform priorities, setting the roadmap for performance, reliability, and scale.
• Work closely with product engineers and technical leadership to build systems for large consumer businesses.
• Develop services and pipelines designed to scale to very high job volumes, evaluating technologies such as Kafka and lower-level languages where appropriate.
• Build data materialization and query capabilities for fast joins and aggregations across large datasets.
• Profile and tune ClickHouse and PostgreSQL, using benchmarks, query plans, and system diagnostics to improve performance.

What We\'re Looking For

• 4 to 10 years of experience in backend, platform, infrastructure, site reliability, distributed systems, or systems engineering.
• Hands-on coding experience and a track record of improving the speed, reliability, and scalability of data-intensive systems.
• Experience across system architecture, databases, and scaling challenges.
• Familiarity with Python, ClickHouse, PostgreSQL, Kafka, distributed systems, real-time data pipelines, and OLAP or OLTP databases.
• Experience operating ClickHouse, PostgreSQL, or Kafka at scale is a plus.
• Strong foundations in computer science, physics, mathematics, or engineering, or equivalent practical experience.
• Comfort owning open-ended platform work and working closely with a small product and engineering team.

Compensation & Benefits

Base salary: $190,000 to $260,000 annually. Visa sponsorship is available.

Location

On-site, five days per week in New York, United States.