Real-Time Quant Platform Engineer — Research to Trading (Warsaw)

Goldman Sachs; Warszawa; On-site; PLN 320,000 - 520,000; Full time

Job summary

Goldman Sachs in Warsaw is seeking an experienced Platform Engineer for quantitative research. You will partner with researchers, portfolio managers, traders, and engineers to build a high‑impact platform, accelerate signal discovery, experimentation, backtesting, deployment, and production monitoring.

The role focuses on scalable, low‑latency distributed systems, AI‑enabled workflows, and modern ML infrastructure, enabling rapid idea‑to-production cycles across global markets.

Qualifications

• 8+ years’ experience with a proven track record in building and operating large scale distributed systems.
• Strong software engineering skills in Python, Java, Scala, or C++.
• Deep understanding of cloud native architectures and modern infrastructure platforms.
• Experience building data intensive applications, streaming systems, or machine learning platforms.
• Strong collaboration and communication skills with the ability to work closely with both engineering and business stakeholders.
• Intellectually curious about markets, data and complex systems, with the motivation to solve difficult technical problems at the intersection of engineering and quantitative research.
• Excited by rapid experimentation, continuous learning and building platforms that directly influence investment research, signal discovery and trading decision making

Responsibilities

• Real time streaming data platforms using Kafka, Flink, Spark, and cloud native technologies
• Distributed computing systems for large scale Quantitative research enablement and simulation
• AI and machine learning infrastructure, including training, inference, feature management, and model lifecycle tooling
• Agentic and generative AI applications for quantitative workflows
• Cloud native Software Engineering leveraging AWS, and modern data architectures
• Low latency systems supporting research, analytics, and trading use cases
• Research platform capabilities including back testing frameworks, experiment tracking, feature stores, meta data discovery, distributed research compute, Lakehouse architectures, ClickHouse, vector search, knowledge graphs and large scale timeseries platforms

Skills

Distributed systems

Python

Java/Scala/C++

Cloud native

Data streaming

ML platforms

Collaboration

Market awareness

Tools

Kafka

Flink

Spark

AWS

Job description

Goldman Sachs in Warsaw is seeking an experienced Platform Engineer for quantitative research. You will partner with researchers, portfolio managers, traders, and engineers to build a high‑impact platform, accelerate signal discovery, experimentation, backtesting, deployment, and production monitoring.

The role focuses on scalable, low‑latency distributed systems, AI‑enabled workflows, and modern ML infrastructure, enabling rapid idea‑to-production cycles across global markets.