VP Software Engineer - Global Banking & Markets - CTL/Equities Engineering

Goldman Sachs•New York, NY

1d•$150,000 - $300,000•Onsite

About The Position

Goldman Sachs has embarked on one of its most ambitious engineering programs: the Consolidated Trade Ledger (CTL), a ground-up reimagining of the front-to-back architecture that underpins every trade the firm executes. CTL is a flagship initiative jointly sponsored by Global Markets and Engineering leadership, and it sits at the very heart of the firm's core technology strategy. This new, cloud-native platform will deliver the capacity, extensibility, scalability, and innovation capabilities to power the next two decades of growth for Global Markets, while simultaneously driving significant operational efficiencies. The program follows an engineering-principles-first approach and represents a rare chance to define the foundational systems of a world-leading financial institution from the ground up. As trading volumes continue to accelerate, we are building a small team of ambitious and highly experienced engineers to spearhead the migration of our entire global Equities trading business onto CTL.

Requirements

8+ years of professional software development experience in Java (Java 17+ preferred), with strong command of concurrency, collections, and modern language features
Demonstrated experience with AI-assisted engineering tools (e.g., Claude Code, GitHub Copilot Agent Mode, Devin, Gemini Code Assist), including the ability to govern AI agents, critically assess their output, and maintain quality over AI-generated work product
Experience building event-driven and distributed systems, including familiarity with messaging platforms (e.g., Apache Kafka), delivery guarantees, and resilience strategies
Strong SDLC practices: version control, CI/CD pipelines, automated build/test/deploy workflows, and code quality tooling
Solid testing discipline: unit, integration, and acceptance testing with modern frameworks
Ability to rapidly navigate, understand, and debug large and unfamiliar codebases — with and without AI assistance
Excellent communication and collaboration skills across technical and non-technical audiences in geographically distributed teams

Nice To Haves

Frameworks & Architecture: Spring Boot, gRPC / Protocol Buffers, integration/orchestration frameworks (e.g., Apache Camel, Spring Integration), and pipeline/adapter design patterns (retry, dead-letter queues, error isolation)
Cloud & Infrastructure: Cloud platforms (GCP, AWS), container orchestration (Kubernetes, Docker), and JVM tuning for containerized workloads
Observability & Operations: Application instrumentation (metrics, distributed tracing, structured logging) and production support in high-availability environments
Data & Performance: Data modeling, SQL/NoSQL databases, caching strategies, and performance optimization in latency-sensitive systems
Security: Enterprise security patterns; authentication protocols, mutual TLS, secrets management, and certificate rotation
Domain Knowledge: Equities, post-trade, or financial services experience; trade lifecycle concepts, asset servicing, position management, reconciliation, and multi-system migration environments
Other: Asynchronous / non-blocking I/O frameworks (e.g., Vert.x, Netty), multi-region / BCP architectures, and open-source contribution experience

Responsibilities

Design, build, and operate high-availability, multi-region, cloud-native services with security and comprehensive observability (metrics, distributed tracing, structured logging) built in at every layer.
Develop event-driven architectures, multi-stage processing pipelines, and optimized data paths for high-throughput trade lifecycle management.
Partner with engineers, domain experts, and global stakeholders to understand, model, and digitize the firm's business processes, challenging entrenched practices and driving modernization across teams.
Manage the full lifecycle of software components, from requirements analysis through design, development, testing, and release, in line with robust SDLC and Agile best practices.
Innovate creative solutions to complex business and technical problems, building reusable capabilities that can be leveraged across Global Markets front, middle, and back office functions.
Multiply your impact with a modern, AI-centric toolchain, orchestrating AI coding agents across all stages of the SDLC to rapidly comprehend large codebases, generate production-quality code, and accelerate delivery.