Software Engineer, Commodities Tech & Automation

The Goldman Sachs Group; New York (NY); On-site; USD 130,000 - 250,000; Full time

Benefits offered by this job

Discretionary bonus possible

Job summary

Goldman Sachs is seeking a dynamic developer to join the Commodities Technology team in New York, partnering with traders and sales to automate quoting, trade booking workflows, and data platforms. The role focuses on building reliable, low-maintenance enterprise systems that directly impact the trading desks.

Ideal candidates will lead execution across Java, Python, Slang/SecDB, JavaScript/Angular, Spark, and MongoDB in a fast-paced, global environment with strong communication and

Qualifications

• Strong analytical and programming skills in any language.
• 4+ years of experience with programming in any language.
• Ability to quickly learn new languages and technologies.
• Strong object-oriented analysis and design skills.
• Excellent written and verbal communication skills including experience speaking to global engineering and business audience.
• Comfort with multi-tasking, managing multiple stakeholders and working as a part of a global team.
• Ability to apply an entrepreneurial approach and passion to problem solving, product development and support.

Responsibilities

• Liaise with traders, salespeople, and engineers to determine development requirements and lead project execution to deliver solutions to complex business problems.
• Gain experience in a variety of technologies, including Java, Python, Slang / SecDB (GS proprietary language), web technologies (JavaScript, Angular etc.), and real-time cluster technologies like SPARK and NoSQL data stores like MongoDB.
• Fantastic opportunity to learn about the Commodities trading businesses, while developing engineering solutions to solve business problems.

Skills

Java

Python

Slang/SecDB

JavaScript

Angular

SPARK

MongoDB

Job description

Goldman Sachs is seeking a dynamic developer to join the Commodities Technology team in New York, partnering with traders and sales to automate quoting, trade booking workflows, and data platforms. The role focuses on building reliable, low-maintenance enterprise systems that directly impact the trading desks.

Ideal candidates will lead execution across Java, Python, Slang/SecDB, JavaScript/Angular, Spark, and MongoDB in a fast-paced, global environment with strong communication and