Goldman Sachs Bank AG | Global Banking
3 weeks ago
MORE ABOUT THIS JOB
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. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.
This is a unique opportunity to work on converging multiple legacy systems and execute on the Ledgers strategy to move a single Unified Data source and provide ledgers as a service across the firm. Our current technology drives processing across the firm, and we have started a multi-year convergence program to deliver a single, highly scalable platform for providing core ledgers services, to enable business growth with reduced operational costs.
We’re looking for highly technical, commercially minded software engineers who enjoy seeing things done differently to join us on this exciting journey.
About the team
Ledgers Engineering is a part of a growing team in Singapore that collaborates with colleagues around the world to deliver our new strategic post trade portfolio platform and build the next generation platform.
We are a fully data centric function that is responsible for managing the Books and Records for the firm. All client activities and position management are taken care of by our highly scalable systems that deal with about 100 million transactions daily. The data we produce is distributed to numerous consumers for performing various business functions.
Our strategic new platform is a brand new/greenfield initiative to converge all of our businesses onto a single technology platform, proving much better scalability, improved resiliency, and reducing the time needed to develop and deliver new features. The programme is sponsored by our division’s senior leadership and is one of the key strategic deliveries of the next few years.
All our projects are cross-location and cross-function. We work directly with Front office, Mid-office, Operations, Legal, Tax, Client Reporting and Regulatory Reporting and Engineering colleagues directly and that gives the opportunity to learn about the financial markets and asset classes.
The team is also responsible for generating client statements, interest calculations, and anomaly detection from daily activity across all Goldman Sachs. We use leading edge technologies for data management and distribution such as Apache Iceberg and Snowflake. The anomaly detection platform uses big data technologies for detecting and reporting trade anomalies from the significant volume of data.
Highly-developed analytical and technical skills, combined with a commercial and collaborative approach to problem solving, are essential to our success.
RESPONSIBILITIES AND QUALIFICATIONS
Key Responsibilities
Develop, test, and maintain Java-based applications, ensuring high performance and responsiveness.
Collaborate with business analysts and other developers to define software requirements and solutions.
Design, build, and maintain efficient, reusable, and reliable code.
Troubleshoot and debug application issues, identifying and resolving performance bottlenecks.
Contribute to all phases of the software development lifecycle.
Write clean, test-driven scalable, and well-documented code.
Participate in code reviews to maintain code quality and standards.
Stay up-to-date with the latest industry trends, technologies, and best practices.
Required Skills:
Java Programming: Strong knowledge of Java, with a good understanding of OOP principles.
Frameworks: Experience with Java frameworks, such as Spring Boot.
Database Management: Proficiency in SQL and experience with databases like DB2 and Sybase.
Version Control: Experience with version control tools, such as Git.
APIs: Knowledge of RESTful APIs and web services.
Testing: Familiarity with unit testing frameworks, such as JUnit.
Agile Methodology: Experience working in Agile/Scrum environments.
Strong analytical and problem-solving skills.
Excellent verbal and written communication skills.
Preferred Skills:
Knowledge of microservices architecture.
Knowledge of big data technologies like Hadoop and Spark.
Experience in event streaming technologies like Kafka.
Familiarity with cloud platforms like AWS or GCP.
Experience with DevOps practices, including CI/CD.
Exposure to NoSQL databases, such as MongoDB or ElasticSearch.
Knowledge of front-end frameworks like Angular or React.
Qualifications:
Bachelor’s degree in Computer Science, Engineering, or a related field.
Proven work experience in Java development (1+ years or more).
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