VP Site Reliability Engineer — Global Markets

Goldman Sachs; New York (NY); On-site; USD 150,000 - 250,000; Full time

Job summary

Goldman Sachs is seeking an experienced Site Reliability Engineer to design and operate high-availability, multi-region cloud-native services, with strong emphasis on reliability, observability, and AI-assisted automation.

You will define SLOs/SLIs, manage incident responses, and drive modernization across production systems in a fast-paced financial environment. The role requires 8+ years in software/reliability engineering and deep cloud/Kubernetes experience.

Qualifications

• 8+ years of professional software/reliability engineering experience.
• Proficiency in Java 17+ and concurrency.
• Demonstrated risk acumen in regulated financial services.
• Excellent communication and stakeholder coordination.
• Experience running high-availability production environments with SLIs/SLOs and on-call.
• Strong cloud infrastructure knowledge (GCP, AWS) and container orchestration (Kubernetes, Docker).
• Experience with AI models/tools governance and QA of AI-generated work.
• Experience building event-driven and distributed systems (Kafka) and CI/CD.

Responsibilities

• Design, build, and operate high-availability, multi-region, cloud-native services with security and observability built in at every layer.
• Establish and manage SLIs, SLOs, and error budgets; drive blameless post-incident reviews and translate findings into durable engineering improvements.
• Lead incident response for latency-sensitive, high-throughput trade lifecycle systems — quickly diagnosing issues, coordinating cross-functional responders, and communicating status to stakeholders.
• Develop event-driven architectures, multi-stage processing pipelines, and optimized data paths for high-throughput trade lifecycle management.
• Apply strong risk acumen to change management, capacity planning, and resilience testing (chaos engineering, failover, and BCP drills).
• Partner with engineers, domain experts, and global stakeholders to understand production processes, challenge entrenched assumptions in a cloud-centric, AI-driven world, and drive modernization.
• Multiply your impact with a modern, AI-centric toolchain, orchestrating AI agents across the SDLC and operations to rapidly comprehend large codebases, generate production-quality automation, and accelerate delivery.

Skills

Java 17+

Concurrency

Cloud experience

Stakeholder coordination

Incident management

AI tooling awareness

Tools

Kubernetes

Docker

Terraform

GitHub Copilot

Claude Code

Apache Kafka

Prometheus

OpenTelemetry

Spring Boot

Job description

Goldman Sachs is seeking an experienced Site Reliability Engineer to design and operate high-availability, multi-region cloud-native services, with strong emphasis on reliability, observability, and AI-assisted automation.

You will define SLOs/SLIs, manage incident responses, and drive modernization across production systems in a fast-paced financial environment. The role requires 8+ years in software/reliability engineering and deep cloud/Kubernetes experience.