SRE Lead: AI-Driven, Cloud-Native Trading Reliability

Goldman Sachs; Singapore; On-site; SGD 180,000 - 280,000; Full time

Job summary

Goldman Sachs is seeking an experienced Site Reliability Engineer to join the SRE team supporting Global Banking and Markets, ensuring availability, latency, and resilience of core services for a 24×7 trading operation.

You will lead incident response, design multi-region cloud-native services, and apply AI-driven automation to reduce toil while maintaining production quality. Collaborate across global teams to set standards and improve reliability.

Qualifications

• 8+ years in software/reliability engineering with Java 17+ focus.
• Strong risk awareness in a regulated financial services setting.
• Excellent communication to coordinate across distributed teams.
• Experience running high-availability production environments with SLOs.

Responsibilities

• Own reliability outcomes: define SLOs, error budgets, and standards.
• Lead incident response for latency-sensitive, high-throughput systems.
• Design event-driven, multi-region architectures on a cloud platform.
• Automate diagnostics and remediation using AI-assisted tools.
• Collaborate with engineers and stakeholders to modernize production processes.

Skills

Java 17+

Reliability Engineering

Incident Response

Cloud Infrastructure

AI Tools

Observability

Stakeholder Communication

Tools

Kubernetes

Docker

Kafka

Terraform

OpenTelemetry

Job description

Goldman Sachs is seeking an experienced Site Reliability Engineer to join the SRE team supporting Global Banking and Markets, ensuring availability, latency, and resilience of core services for a 24×7 trading operation.

You will lead incident response, design multi-region cloud-native services, and apply AI-driven automation to reduce toil while maintaining production quality. Collaborate across global teams to set standards and improve reliability.