What We Do

At Goldman Sachs, our Engineers don't 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. Drive new businesses, redefine finance using AI, and seize opportunities at market speed.

In an era defined by AI, Engineering isn't just central – it's the driving force behind our business. Our dynamic environment demands innovative strategic thinking and immediate, impactful solutions. Ready to push the limits of digital possibility? Begin your journey here.

Who We Look For

Goldman Sachs Engineers are at the forefront of innovation, driving solutions as creative collaborators in a fast-paced global environment. We seek individuals who evolve, adapt, and thrive on challenging problems.

As a Front Office Engineer, you will be instrumental in developing cutting-edge software solutions. Your responsibilities will include designing and implementing robust, low-latency systems crucial for pricing, quoting, and hedging a diverse range of financial instruments, such as USTs, Swaps, and MBS. You will also develop innovative platforms that enable efficient risk and P&L management for our trading desks. A key aspect of your role will involve leveraging AI-driven analytics for sophisticated data analysis and to inform predictive pricing strategies.

Basic Qualifications

• Advanced degree in Computer Science (or equivalent work experience). 
• Minimum 7 years of relevant professional experience using a modern programming language (Java, C/C++, Python).
• Strong analytical skills, ability to quickly identify scope and impact of issues.
• Team oriented mindset with strong interpersonal and communication skills.
• Energetic, self-directed, and self-motivated.

Preferred Qualifications

• Experience in Financial Services or Fintech.
• Proven ability to lead engineering teams and deliver complex products with multiple stakeholders.
• Experience with AWS.
• Experience working on high availability, mission critical systems.
• Experience with microservice architectures (SOA).
• Experience engineering solutions with distributed tracing, performance testing, authentication, authorization
• Experience with UNIX operating systems internals, infrastructure as code (Terraform), and networking.
• Proficiency with algorithms, data structures, and software design.