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

Goldman Sachs Bank AG; Greater London; On-site; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Healthcare & medical insurance

Financial wellness & retirement

Health services

Fitness benefits

Child care support

Job summary

Goldman Sachs is seeking a Vice President–level Software Engineer to join the Equities Data Platform Engineering team in London. You will own architecture, deliver a cloud-native, AI-first core system for real-time analytics and fiduciary functions across Equities and Listed Options.

You'll lead, design, implement, test, deploy and support the platform while mentoring engineers and guiding technical direction for the team.

Qualifications

• Around 5–10 years of professional experience building high-performance, low-latency systems (sub-second) at VP level.
• Proven ability to drive complex, industrial-scale development independently and mentor engineers.
• Strong knowledge of Java concepts; Python a plus.
• Solid grounding in OO, data structures, algorithms and design patterns.
• Experience with JVM internals, GC tuning, and real-time operation.

Responsibilities

• Act as a technical lead on rebuilding Electronic Trading data infrastructure into a cloud-native, AI-first platform.
• Design and maintain a high-performance, highly available data platform processing massive real-time data volumes.
• Develop reliable data ingestion pipelines from trading and market data systems.
• Design distributed computation to run parallelized queries across large datasets.
• Build an AI-powered UI/agent framework delivering analytics over datasets.
• Mentor engineers and shape technical standards across the team.

Skills

Java

Python

Distributed systems

Low-latency

JVM internals

Data streaming

Leadership

Tools

Kafka

Flink

Snowflake

SingleStore

HDFS/S3

Job description

Global Banking Markets - Software Engineer - Equities Data Platform Engineering - London - Vice President location_on London, Greater London, England, United Kingdom

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.

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

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.

Healthcare & Medical Insurance

We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.

We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.

Financial Wellness & Retirement

We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities.

Health Services

We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.

Fitness

To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).

Child Care & Family Care

We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.

Benefits at Goldman Sachs

Read more about the full suite of class-leading benefits our firm has to offer.