Global Banking Markets - Software Engineer, Data Platform - London - Vice President

Goldman Sachs; Greater London; On-site; GBP 120,000 - 170,000; Full time

Job summary

Goldman Sachs is seeking a senior data platform engineer to own core post-trade services. You will architect and implement scalable, low-latency systems and work across business lines to deliver real-time analytics and insights.

You will collaborate with trading and data teams, ensure resilience and performance, and drive modernization of the data processing stack using Java/Scala, Kafka, Flink, and S3/HDFS. This role sits in a fast-paced, global environment.

Qualifications

• 5-10 years of experience building high performance, low latency systems.
• Ability to contribute and drive complex industrial scale development independently.
• Thorough knowledge of Java programming concepts and design patterns.

Responsibilities

• Design and maintain a high-performance, scalable platform for post-trade data processing.
• Develop reliable data ingestion processes for large data volumes from trading and market data systems.
• Design distributed computation infrastructure for parallelized queries over big data.
• Develop an AI-powered UI/agent framework delivering analytics and insights over datasets.
• Communicate feature requests and explanations to business, client applications, and compliance teams.

Skills

Java programming

OOP concepts

Data structures

Low latency

Distributed processing

Team collaboration

Analytical thinking

Tools

HDFS/S3

Kafka

Flink

SingleStore

JVM internals

GC tuning

Job description

Job Description

GLOBAL MARKETS

Our core value is building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers. We help them buy and sell financial products on exchanges around the world, raise funding, and manage risk. This is a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced, changing environments and are energized by a bustling trading floor.

Job Description

Data Platform team is responsible for platform architecture development to provide scalable, resilient, performant, adaptable stack that meet the evolving needs of different business lines globally.

As a senior member of team & owner of core system in post-trade stack, will be responsible for full product lifecycle from requirements gathering, design, implementation, testing, support, and monitoring. We expect high degree of ownership, adaptability to embrace newer technologies and adherence to high degree of software quality.

Responsibilities

• Design, build and maintain a high-performance, high-availability, high-capacity, scalable, near real-time yet nimble and adaptive platform for processing & persisting high volumes of business critical data and distribute it to downstream applications 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.
• Communication with business, client applications, Regulatory & Compliance teams about new feature requests, explanation of existing features etc.

Required Qualifications & Skill-Sets

• About 5-10 years of professional experience developing high performance, low latency systems ( sub-seconds )
• Ability to contribute & drive on complex industrial scale development of systems independently
• Thorough knowledge of Java programming concepts
• Strong knowledge of object oriented programming, data structures, algorithms and design patterns
• Experience in Developing High Available, Low Latency systems with low foot-print – awareness of JVM internals, performance optimizations, concurrency, tuning for low-latency, GC-free real-time operation
• Experience in Distributed, Stream processing systems handling large volume ( big data ) in near real-time
• Exposure to stack like HDFS/S3, SingleStore, Kafka/Streaming Message System, Flink/Distributed Processing, Java/Scala
• Strong communication skills and the ability to work in a team and at the same able to drive things independently
• Strong analytical and problem solving skills

About Goldman Sachs

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2023. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.