Salary: £60,000 - 100,000 per year
Requirements:
- About 5-10 years of professional experience developing high performance, low latency systems (sub-seconds)
- Ability to contribute to and drive complex, industrial-scale system development independently
- Thorough knowledge of Java programming concepts
- Strong knowledge of object-oriented programming, data structures, algorithms, and design patterns
- Experience developing highly available, low latency systems with low footprint
- Awareness of JVM internals, performance optimizations, concurrency, tuning for low-latency, and GC-free real-time operation
- Experience in distributed, stream processing systems handling large volumes of data in near real time
- Exposure to HDFS/S3, SingleStore, Kafka/streaming message systems, Flink/distributed processing, and Java/Scala
- Strong communication skills and the ability to work in a team while also driving things independently
- Strong analytical and problem-solving skills
Responsibilities:
- Design, build, and maintain a high-performance, high-availability, high-capacity, scalable, near real-time platform for processing and persisting high volumes of business-critical data and distributing it to downstream applications for 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 queries over large volumes of data
- Design and develop an AI-powered UI/agent framework that delivers intelligent analytics and insights over the data we process and hold, enabling users to interrogate and derive value from large-scale datasets
- Communicate with business, client applications, and Regulatory & Compliance teams about new feature requests and explanations of existing features
- Own core systems in the post-trade stack across the full product lifecycle, including requirements gathering, design, implementation, testing, support, and monitoring
Technologies:
- AI
- Flink
- Support
- JVM
- Java
- Kafka
- Scala
- UX UI Design
- Big Data
More:
We are Goldman Sachs, a global investment banking, securities, and investment management firm headquartered in New York with offices around the world. Our Global Markets business builds strong relationships with institutional clients, including corporations, financial service providers, and fund managers, helping them buy and sell financial products on exchanges worldwide, raise funding, and manage risk. Our Data Platform team develops scalable, resilient, and adaptable platform architecture for globally evolving business needs. We foster a dynamic, entrepreneurial environment on a bustling trading floor, with opportunities to grow professionally and personally through training and development, firmwide networks, benefits, wellness and personal finance offerings, and mindfulness programs.
last updated 37 week of 2026
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Global Banking Markets Software Engineer Data Platform Vice President employer: Goldman Sachs
Goldman Sachs is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. With a strong commitment to employee growth, the firm provides extensive training and development opportunities, alongside a diverse and inclusive culture that values every individual's contributions. Located in a global financial hub, employees benefit from engaging with top-tier professionals while managing a portfolio of EMEA Corporate clients, ensuring meaningful and impactful work in the field of credit risk analysis.
