Global Banking Markets - Software Engineer - Equities Data Platform Engineering - London - Vice President

Goldman Sachs; Greater London; On-site; GBP 150,000 - 210,000; Full time

Job summary

Goldman Sachs is seeking a Senior Engineer to lead the rebuilt Electronic Trading data platform. You will own architecture and delivery, driving a cloud-native, AI-first stack end-to-end from design to deployment.

You will mentor engineers, collaborate with stakeholders, and push for high-quality, scalable solutions across the team in a fast-paced environment. London-based, on-site role with strong leadership expectations.

Qualifications

• 5-10 years of professional experience building high-performance, low-latency systems (sub-second) at VP level.
• Proven ability to lead and develop engineers across the team.
• Thorough knowledge of Java programming concepts (and Python a plus).
• Strong grounding in object-oriented programming, data structures, algorithms, and design patterns.
• Experience with JVM internals, performance optimization, and GC tuning for real-time operation.
• Experience with distributed streaming systems handling large-scale volumes in near real time.
• Exposure to HDFS/S3, Snowflake, SingleStore, Kafka (or similar), Flink (or similar).
• Excellent communication skills with cross-team collaboration.
• Strong analytical and problem-solving mindset.
• Demonstrable mentoring experience and setting technical standards.

Responsibilities

• Act as a technical lead on the ground-up rebuild of the Electronic Trading data infrastructure into a cloud-native, AI-first platform.
• Design, build, and maintain a high-performance, high-availability platform processing real-time data and delivering to downstream applications.
• Develop reliable data ingestion pipelines for large data volumes from trading and market data systems.
• Design distributed computation infrastructure for parallelized queries across huge datasets.
• Build an AI-powered UI/agent framework delivering analytics and insights on large-scale data.
• Partner with stakeholders, client apps, and Compliance to shape features and roadmap.
• Provide technical direction and mentorship to engineers and raise engineering standards.

Skills

Java

Python

Low-latency

JVM Tuning

Distributed systems

Mentoring

Communication

Tools

Kafka

Flink

Snowflake

HDFS/S3

SingleStore

Scala

Job description

The Equities Data Platform team is core to delivering real-time analytics and handling critical fiduciary functions for Goldman Sachs' Electronic Trading business across Equities and Listed Options. If you're excited by the challenge of engineering systems that process massive volumes of business-critical data in real time, this is your opportunity to make a real impact. As a senior contributor, you will be one of the senior engineers leading the platform, owning the architecture and delivery of a core system within the Equities Data Platform and driving it through the full product lifecycle - from requirements gathering and design, through implementation, testing, deployment and support. Want to be part of a once-in-a-generation rebuild of the Electronic Trading Data Strategy? This role sits at the heart of that transformation - reimagining our stack to be cloud-native and AI-first, giving you the chance to help re-architect our data infrastructure from the ground up and embed AI-first thinking into everything we build. We're looking for someone who takes pride of ownership, embraces new technologies with curiosity, and holds themselves - and the team around them - to the highest standard of software quality. You'll take on significant leadership responsibilities, working alongside our other senior engineers to mentor engineers at all levels and help shape the technical direction of the team.

Responsibilities

• Act as one of the technical leads on the ground-up rebuild of our Electronic Trading data infrastructure into a cloud-native, AI-first platform.
• Design, build, and maintain a high-performance, high-availability, high-capacity platform that processes and persists massive volumes of business-critical data in near real time, distributing it seamlessly to downstream Electronic Trading applications.
• Develop highly reliable, industrial-strength data ingestion pipelines to consume large volumes of data emitted by trading and market data systems.
• Design distributed computation infrastructure capable of running parallelized queries across huge datasets, at speed and at scale.
• Design and build a cutting-edge, AI-powered UI/agent framework that delivers intelligent analytics and insights over our data - empowering users to interrogate and unlock value from large-scale datasets.
• Partner closely with business stakeholders, client applications, and Regulatory & Compliance teams to shape new feature requests, influence roadmap priorities, and clearly communicate existing capabilities.
• Provide technical direction and formal mentorship to engineers at all levels, working with fellow senior engineers to raise the bar on engineering practices across the team.

Required Qualifications & Skill-Sets

• Around 5-10 years of professional experience with experience building high-performance, low-latency systems (sub-second) - at Vice President level.
• Proven ability to drive complex, industrial-scale development independently, while also leading and developing engineers across the team.
• Thorough knowledge of Java programming concepts (and Python a plus).
• Strong grounding in object-oriented programming, data structures, algorithms, and design patterns.
• Experience building highly available, low-latency systems with a small footprint - including JVM internals, performance optimization, concurrency, and tuning for GC-free, real-time operation.
• Experience with distributed stream-processing systems handling large-scale (big data) volumes in near real time.
• Hands-on exposure to technologies such as HDFS/S3, Snowflake, SingleStore, Kafka (or similar streaming systems), Flink (or similar distributed processing frameworks), and Java/Scala (Python optional).
• Excellent communication skills, with the ability to collaborate effectively across teams while independently driving initiatives forward, and the credibility to influence senior stakeholders and technical peers.
• Strong analytical and problem-solving mindset, with a passion for tackling hard technical challenges.
• Demonstrable experience mentoring engineers and helping set technical standards within a team.

Why Join Us

This is a rare chance to be part of a once-in-a-generation rebuild - helping take our Electronic Trading data platform to be cloud-native and AI-first from the ground up. You'll own and shape mission-critical infrastructure at scale, work at the cutting edge of AI-driven analytics and grow your influence as a technical leader - all while working alongside a talented group of senior engineers and a collaborative team that values innovation and craftsmanship

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.

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