FICC Platform Engineer: Cloud-Native, Low-Latency Trading

Candidate Experience Site - Lateral; Singapore; Presencial; SGD 180.000 - 290.000; Jornada completa

Descripción de la vacante

Goldman Sachs is hiring a FICC Trading Platform Software Engineer (Associate/VP) in Singapore. You will own end-to-end platform areas for pricing, risk, quoting and automation across FICC derivatives and cash products, while driving a multi-year cloud migration and resilient microservices.

You will work with a global team and partners across trading, sales, risk and control; strong Java, cloud, and distributed-systems experience are essential, with exposure to streaming architectures and service

Formación

• Bachelor degree in a technical discipline and 5+ years for Associate / 8+ years for VP in software engineering.
• Track record delivering complex production systems with end-to-end ownership.
• Strong expertise in modern Java and JVM performance tuning.

Responsabilidades

• Own platform area end-to-end: architecture, delivery and production health for pricing, risk and automation.
• Lead multi-year cloud migration, incl. deployment topology and security considerations.
• Decompose monoliths into microservices and drive reliability with SLOs and incident response.

Conocimientos

Java (modern)

Distributed systems

Kafka / streaming

AWS / cloud

CI/CD / DevOps

Security & auth (OAuth2/OIDC)

SRE / observability

TypeScript/React (bonus)

Kubernetes / containers

Educación

Bachelor's degree in CS or related

Herramientas

Kafka

kdb+/q

AWS

Terraform

CDK

Docker

Descripción del empleo

Goldman Sachs is hiring a FICC Trading Platform Software Engineer (Associate/VP) in Singapore. You will own end-to-end platform areas for pricing, risk, quoting and automation across FICC derivatives and cash products, while driving a multi-year cloud migration and resilient microservices.

You will work with a global team and partners across trading, sales, risk and control; strong Java, cloud, and distributed-systems experience are essential, with exposure to streaming architectures and service