Job Description

MORE ABOUT THIS JOB

What We Do

At Goldman Sachs, our Engineers dont just make things we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.

At Goldman Sachs, our culture is one of teamwork, innovation and meritocracy. We often say our people are our greatest asset and we take pride in supporting each colleague both professionally and personally. From collaborative work spaces and mindfulness classes to working from home and flexible work options, we offer our people the support they need to reach their goals in and outside the office.

Goldman Sachs Electronic Trading (GSET) has launched an initiative to become the top provider in electronic trading by building superior technology and delivering high quality products. This vision is a multi-year investment in people, platforms and products. Join the team, and participate in the development and launch of best in class products for top clients across the industry. We are looking for eager, nimble and ambitious engineers to join our growing team of visionaries, and drive Goldman Sachs Electronic Trading to achieve and exceed our goals.

Your Impact

This team is accountable for platform architecture evolution to meet the evolving needs of different business lines globally with rapid software deployment. As stewards of critical components in order execution and post-trade, the team is accountable for a high degree of software quality. The team consists of self-guided pragmatic individuals who are motivated to change the status quo in calculated ways.

As a member of the team, you will play an integral role on the trading floor. This is a dynamic, entrepreneurial team with a passion for technology and the markets, with individuals who thrive in a fast-paced changing environment. The team takes a data driven approach to decision making and you should be willing to participate in the full product lifecycle from requirements gathering, design, implementation, testing, support, and monitoring trading performance for systems and strategies used by our clients.

Responsibilities

* Design, build and maintain a high-performance, high-availability, high-capacity, yet nimble and adaptive platform for processing high volumes of ticking data and post-trade processing.
* Develop highly reliable data ingestion processes to consume large volumes of data emitted by trading and market data systems.
* Design distributed computation infrastructure to run parallelized applications over large volumes of transaction data.
* Build data driven algorithms and tools to enhance revenue generation and operating efficiency of the business.
* Communicate with traders, sales, clients and compliance officers about new feature requests, explanation of existing features etc.

Basic Qualifications

* Bachelors or Masters degree in computer science or engineering or equivalent experience
* 6 - 11 years of professional experience developing deterministic high performance, low latency systems (counted in microseconds)
* Thorough knowledge of Java/Python programming concepts
* Strong knowledge of object oriented programming, data structures, algorithms and design patterns
* Experience developing distributed architecture systems and messaging protocols
* Strong communication skills and the ability to work in a team
* Strong analytical and problem solving skills
* Experience in data driven performance analysis and optimizations.

Preferred Qualifications

* Experience building state management systems, complex event processing and transaction sequencing architectures
* JVM internals, profiling and tuning for low-latency, GC-free real-time operation
* Prior experience with event sourcing (sequenced core stream) based architecture
* Linux systems programming experience including memory management, concurrent programming infrastructure, and the networking stack
* Over 3 years' experience in Financial industry