Founding Platform Engineer

Wintermeyer Ventures
New York, NY, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Compensation
$190,000.0 - $260,000.0
Working hours
Regular working hours

Tech stack

Systems Engineering Big Data Databases Data Infrastructure Distributed Systems Python (Programming Language) PostgreSQL Online Analytical Processing Online Transaction Processing Reliability Engineering Systems Architecture Backend
+8 more
Information Technology Real Time Data Apache Kafka Build Tools Vertica Software Coding Stream Processing Data Pipelines

Job description

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.

Requirements

  • 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.

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