
The Goldman Sachs Group, Inc
Java Software Engineer with GenAI – Securities Settlements - Vice President, at Goldman Sachs
About the role
Role Overview:
The Securities Settlement Engineering team at Goldman Sachs is a critical part of the firm's Global Banking & Markets division, dedicated to ensuring the seamless and efficient settlement of securities transactions. This team operates at the intersection of finance and technology, implementing innovative solutions to enhance the post-trade processing landscape.
The team is responsible for designing, developing, and maintaining high-performance software solutions that facilitate the settlement of equities and fixed income instruments, processing millions of events and thousands of users daily. There is a current focus on migrating existing systems to a strategic platform, with a foundation built upon an event-sourcing architecture using public cloud and serverless solutions, to enhance the scalability and resilience of the settlement processes and guaranteeing capacity for future growth. Collaboration with various stakeholders, including trading desks, operations teams, and other Engineering groups, ensures that the systems meet the evolving needs of the business and integrate seamlessly with other platforms.
The team primarily uses Java for software development, while also leveraging other languages, tools, and frameworks for specific tasks. We employ a microservices architecture and RESTful APIs to build modular and scalable systems and embrace DevOps practices to ensure continuous integration and delivery.
A global team located across seven regions, the Securities Settlement Engineering team fosters a collaborative and inclusive work environment, encouraging team members to share ideas and contribute to continuous improvement. Our work is critical to Goldman Sachs' success, as it ensures the efficient and accurate settlement of trades, helps the firm manage risk and comply with regulations, and establishes exceptional service for our clients.
We are seeking a talented and motivated Software Engineer to join our team and play a key role in designing, developing, and maintaining our software solutions. This role requires a solid foundation in software engineering principles, a passion for technology, and the ability to work effectively within our collaborative team environment.
Basic Qualifications:
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Strong track record as a senior software engineer, with ownership of complex, cloud‑based production systems
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Extensive hands‑on software development experience, preferably in Java, building distributed, event‑driven services
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Experience developing and operating cloud‑native platforms using microservices, APIs, and managed cloud services
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Practical experience with AI agents or AI‑based tooling for enterprise software platforms development and maintenance
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Extensive experience writing well-tested code using industry-standard frameworks and patterns
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Solid understanding of distributed systems, data consistency, failure modes, and operational concerns
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Strong communication skills and ability to collaborate with engineers, architects, and business stakeholders
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Bachelor’s degree in computer science, engineering, or a related field
Preferred Experience:
We are constantly learning new things, but prior experience with any of the below is a plus.
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Serverless technologies (e.g. DynamoDB, Fargate, Lambda, Cloud Run) Building developer or operational tooling enhanced with AI for diagnostics, analysis, or automation
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Event‑sourcing architectures and domain‑driven design applied to complex business domains
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AWS public cloud experience, including serverless and managed infrastructure
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Infrastructure‑as‑code and DevOps practices for large‑scale platforms
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Understanding of containerization and orchestration technologies, such as Docker and Kubernetes.
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Prior exposure to post‑trade, settlements, or high‑volume financial processing systems
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Experience with Bazel is a plus
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Familiarity with emerging AI trends and standards
Key Responsibilities:
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Design, develop, and maintain core cloud‑native services powering the global securities settlement platform
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Own critical components end‑to‑end, from design and implementation through production operation
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Use AI agents and AI‑enabled tooling to write software specification and its implementation
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Act as a VP‑level technical leader, guiding architectural decisions, reviewing critical code, and mentoring engineers
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Partner with business and operations teams to evolve the settlement platform using technology‑driven automation and tooling
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
Required skills
Java
Backend development
Microservices
REST APIs
Distributed systems
Event-driven architecture
Cloud engineering
DevOps
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About Goldman Sachs

Goldman Sachs
PublicThe Goldman Sachs Group, Inc. is an American multinational investment bank and financial services company. Founded in 1869, Goldman Sachs is headquartered in the Battery Park City neighborhood of Manhattan in New York City, with regional offices in many international financial centers.
45,000+
Employees
Lower Manhattan
Headquarters
$80B
Valuation
Reviews
2 reviews
2.9
2 reviews
Work-life balance
2.5
Compensation
3.0
Culture
2.0
Career
4.0
Management
2.5
45%
Recommend to a friend
Pros
Amazing career growth opportunities
Chill management at some locations
Work-life balance valued in certain roles
Cons
Toxic workplace culture
Codependent atmosphere
Confusing interview process
Salary Ranges
20,304 data points
Junior/L3
Mid/L4
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Junior/L3 · Analyst
6,923 reports
$112,993
total per year
Base
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Stock
-
Bonus
$15,234
$77,583
$166,892
Interview experience
4 interviews
Difficulty
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/ 5
Duration
21-35 weeks
Experience
Positive 0%
Neutral 75%
Negative 25%
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1
Application Review
2
HR Screen/HireVue
3
Recruiter Screen
4
Superday/Panel Interview
5
Final Decision
Common questions
Behavioral/STAR
Technical Knowledge
Culture Fit
Past Experience
Case Study
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