Goldman Sachs Software Engineering Job Openings 2025

Qualifications

A successful candidate will possess the following attributes:

• A Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a similar field of study.
• Expertise in java, as well as proficiency with databases and data manipulation.
• Experience in end-to-end solutions, automated testing and SDLC concepts.
• The ability (and tenacity) to clearly express ideas and arguments in meetings and on paper.​

Experience in the some of following is desired and can set you apart from other candidates :

• developing in large-scale systems, such as MapReduce on Hadoop/Hbase,
• data analysis using tools such as SQL, Spark SQL, Zeppelin/Jupyter,
• API design, such as to create interconnected services,
• knowledge of the financial industry and compliance or risk functions,
• ability to influence stakeholders.

As a member of our team, you will:

• partner globally with sponsors, users and engineering colleagues across multiple divisions to create end-to-end solutions,
• learn from experts,
• leverage various technologies including; Java, Spark, Hadoop, Flink, MapReduce, HBase, JSON, Protobuf, Presto, Elastic Search, Kafka, Kubernetes
• be able to innovate and incubate new ideas,
• have an opportunity to work on a broad range of problems, including negotiating data contracts, capturing data quality metrics, processing large scale data, building surveillance detection models,
• be involved in the full life cycle; defining, designing, implementing, testing, deploying, and maintaining software systems across our products.

Goldman Sachs is Compliance Engineering, a global team of more than 300 engineers and scientists who work on the most complex, mission-critical problems.

• build and operate​ a suite of platforms and applications that prevent, detect, and mitigate regulatory and reputational risk across the firm.
• have access to the latest technology and to massive amounts of structured and unstructured data.
• leverage modern frameworks to build responsive and intuitive UX/UI and Big Data applications.