Software Engineering

Goldman Sachs Bank AG; Warszawa; On-site; PLN 450,000 - 650,000; Full time

Job summary

Goldman Sachs is seeking a Vice President Software Engineer to build the Quantitative Enablement Platform in Warsaw. You will partner with researchers, traders, and engineers to accelerate signal discovery and production deployment, delivering low-latency, scalable systems.

You will work on AI-first research workflows, real-time data processing, and cloud-native infrastructure, shaping architecture and platform standards across the firm.

Qualifications

• 8+ years of 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.

Responsibilities

• Define and deliver high-impact research capabilities and scalable compute.
• Build high-throughput distributed systems with low latency and reliability.
• Develop AI-first workflows and ML infrastructure for research and production use.

Skills

Python

Java

Scala

C++

Distributed systems

Cloud architectures

Performance optimization

Collaboration

Education

Advanced degree in Computer Science, Engineering, Mathematics, or related quantitative discipline

Tools

Kafka

Flink

Spark

ClickHouse

Databricks

Job description

GBM – Software Engineer, Quantitative Enablement Platform (Vice President) location_on Warsaw, Mazowieckie, Poland

Your Impact

The future of quantitative investing belongs to platforms that turn massive data into ideas, signals, and decisions in real time.

Goldman Sachs has the raw materials few firms can match: one of the deepest sets of market, transactional, and alternative data in finance, and one of the largest concentrations of quantitative talent anywhere; traders, researchers, strategists, and systematic PMs across global markets.

What we are building is the platform that connects the two - compressing the path from research idea to live trading strategy from weeks to hours, for every researcher at the firm, on a single platform.

As an engineer, your work will directly influence how quantitative researchers, and traders discover signals, test investment ideas, build capabilities that improve and translate research velocity, support alpha generation and strengthen into production trading decisions.

What You'll Do

Build the Platform for Quantitative Research

Partner directly with quantitative researchers, portfolio managers, traders, and engineering teams to define and deliver high impact research capabilities, building the platform, infrastructure, AI assisted workflows, and scalable compute that accelerate signal discovery, experimentation, back testing, deployment, and production monitoring, reducing the time from idea to production from weeks to hours.

Engineer at Scale

Build high throughput distributed systems capable of processing petabytes of market, transactional, and alternative data while maintaining low latency, resiliency, and operational excellence.

Enable AI First Research

Develop next generation research workflows that incorporate large language models, agentic systems, model context protocols (MCP), and modern machine learning infrastructure to accelerate discovery and insight generation.

Build AI native research capabilities that combine large language models, agentic systems, knowledge graphs, vector search, quantitative datasets and experimentation frameworks to make research workflows faster, more discoverable and more scalable.

Raise the Engineering Bar

Drive architecture, reliability, observability, automated testing, and software development best practices across a globally distributed platform.

Own critical platform capabilities end to end, from concept and architecture through implementation, adoption and production operations, with the opportunity to shape long term platform strategy and engineering standards.

What You'll Work On

• 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

What We're Looking For

• 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

Preferred Experience

• Quantitative trading, market structure, electronic trading, or fintech experience
• Machine learning, generative AI, or agentic AI platform development
• High performance computing, real time analytics, or large scale data platforms
• Experience with modern research data platforms and high performance analytics technologies, such as ClickHouse, Databricks, Lakehouse architectures, distributed compute frameworks, large scale time series data stores, or similar tooling used to support quantitative research workflows
• Advanced degree in Computer Science, Engineering, Mathematics, or a related quantitative discipline.

Why Goldman Sachs

You will join a team building strategic capabilities that sit at the center of Goldman Sachs' quantitative and electronic trading businesses. The platform you build will influence how research is conducted, how models are developed, and how ideas become production trading strategies across global markets.

This role combines the scale and complexity of a leading technology company with the impact, pace, and intellectual rigor of one of the world's premier financial institutions.

About Goldman Sachs

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities, and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We’re committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

Goldman Sachs is an equal opportunity employer.

Healthcare & Medical Insurance

We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.

We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.

Financial Wellness & Retirement

We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities.

Health Services

We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also provide state-of-the-art on-site health centers in certain offices.

Fitness

To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).

Child Care & Family Care

We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.

Benefits at Goldman Sachs

Read more about the full suite of class-leading benefits our firm has to offer.