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. Goldman Sachs Engineers are innovators and problem-solvers, building solutions in Artificial Intelligence, risk management, big data, mobile and more.
ABOUT REGULATORY ENGINEERING
Regulatory Engineering are responsible for non-financial regulatory reporting of Global Banking & Markets (GBM) activities to many regulators throughout the world. In order to achieve this, the team processes the firm’s trading activity, be it securities or derivatives, within each jurisdiction in which the firm operates. The candidate will be part of the global team with presence in New York, London, Warsaw, Bengaluru, Birmingham, Singapore, Dallas and Hyderabad.
In this role you will join a team that is running a major uplift to our platforms and workflows. As part of the firmwide One GS 3.0 initiative we are uplifting our platforms to be cloud native and introducing AI into our workflows. This is an exciting opportunity for Engineers who are passionate about implementing such solutions for a dynamic Banking and Markets business. The ideal candidate will demonstrate a solid base of technical knowledge and enthusiasm to work with colleagues as we deliver the uplifts.
How will you fulfil your potential?
- Work closely with technology and strategy teams across the firm to build high quality, secure, and maintainable systems using approved tools and software development practices
- You will partner with the global technology and business teams to develop and implement solutions to fulfil regulatory obligations of the firm
- Manage relationship and workflows with multiple stakeholders and enhance business understanding in a cross product role
- Analyse key performance metrics, monitoring success of initiatives, optimizing the approach and reporting to key stakeholders
- Enhance your technology skills by working closely with engineers working on cutting edge system
RESPONSIBILIITES
- Providing leadership to projects by leading technical project discussions, design, development and testing
- Defining and enforcing compliance with development processes and best practices
- Leading by example and guiding the team effectively
SKILL / EXPERIENCE
- 8+ years’ experience with a proven track record in designing and implementing real-time distributed processing systems and event processing architecture.
- Proven expertise in architecting and executing large-scale migrations from on-premises legacy systems e.g. migrating to a cloud based Lakehouse environment (preferably AWS). Experience with near real time transactional systems with NoSQL databases (Kafka, Elastic Search)
- Strong understanding of cloud architecture, managed services, and containerization (eg: Docker, Kubernetes).
- Experience with building secure, highly available and scalable systems especially in a large, enterprise-level organization.
- Proficiency in contemporary programming languages like Python, C++, or Java.
Developing, testing, and maintaining high-quality, production-ready code.
Building "AI-First" user interfaces that integrate generative features, streaming LLM responses, and Model Context Protocol ().
Relevant
- Bachelor’s degree in computer science, engineering, or a related field (or equivalent practical experience).
- Proven experience as an Engineering Manager or a Senior Technical Lead, with a focus on cloud-native development or platform engineering.
Conceptualizing, experimenting with, and assessing AI/ML-based software systems.
- Experience with Retrieval-Augmented Generation () and model fine-tuning.
- Designing complex multi-agent systems using frameworks like LangGraph or CrewAI, where BPMN logic governs autonomous AI decision-making.
YOUR CAREER
Goldman Sachs is a meritocracy where you will be given all the tools to help you develop. At Goldman Sachs, you will have access to excellent training programmes designed to improve multiple facets of your skills portfolio. Our in-house training programme, ‘Goldman SachsUniversity’ offers a comprehensive series of courses that you will have access to as your career progresses. GoldmanSachs University has an impressive catalogue of courses which span technical, business and leadership skills training.
In order to help you navigate the organisation, you will be given a mentor from outside of your immediate department. This person will be positioned to provide you with objective advice and guidance on your career development.
We value internal mobility. The chance to take on new challenges in the firm over time will ensure that you remain stimulated and will help in your continued professional and personal development.
Goldman Sachs is an Equal Employment Opportunity Employer.
Skills Required
- 8+ years of experience designing and implementing real-time distributed processing systems and event-processing architectures
- Experience architecting and executing large-scale migrations from on-premises legacy systems to cloud-based Lakehouse environments
- Experience with near-real-time transactional systems and NoSQL databases, including Kafka and Elasticsearch
- Strong understanding of cloud architecture, managed services, and containerization technologies such as Docker and Kubernetes
- Experience building secure, highly available, scalable systems in large enterprise organizations
- Proficiency in Python, C++, or Java
- Experience developing, testing, and maintaining production-ready code
- Experience building AI-first user interfaces with generative features, streaming LLM responses, and Model Context Protocol
- Bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience
- Experience as an Engineering Manager or Senior Technical Lead focused on cloud-native development or platform engineering
- Experience conceptualizing, experimenting with, and assessing AI/ML-based software systems
- Experience with Retrieval-Augmented Generation and model fine-tuning
- Experience designing multi-agent systems using frameworks such as LangGraph or CrewAI, with BPMN-governed autonomous decision-making
- Experience with AWS cloud-based Lakehouse environments
Goldman Sachs Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Goldman Sachs and has not been reviewed or approved by Goldman Sachs.
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Healthcare Strength — Healthcare is described as offering multiple plan options with subsidized premiums and prescription coverage. Materials indicate there are no pre-existing condition limitations in the U.S. summary.
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Retirement Support — Retirement benefits are considered competitive, including employer 401(k) matching and access to financial education and planning resources. These features position long-term savings as a core component of the package.
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Parental & Family Support — Family-support programs include paid parenting leave, family-care leave, and resources such as childcare support and lactation rooms in some offices. These offerings signal emphasis on supporting caregivers alongside work.
Goldman Sachs Insights
What We Do
At Goldman Sachs, we believe progress is everyone’s business. That’s why we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, Goldman Sachs is a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices in all major financial centers around the world. More about our company can be found at www.goldmansachs.com
