Global Banking and Markets Data Engineering Warsaw-Vice President
Job Summary
What We Do
At Goldman Sachs our Engineers dont 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 order to achieve this the team processes the firms trading activity be it securities or derivatives within each jurisdiction in which the firm candidate will be part of the global team with presence in New York LondonWarsaw 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
Responsibilities
- 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
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 Lakehouseenvironment (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
- Bachelors 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.
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. Were 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
Were committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: 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
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Key Skills
About Company
The Goldman Sachs Group, Inc. is a leading global investment banking, securities, and asset and wealth management firm that provides a wide range of financial services.