Frontline Production Engineer, Global Banking & Markets, Vice President

Goldman Sachs

Confirmed live today High trust

Quick summary

Work type
On-site
Location
New York, NY
Salary
$150,000–$250,000 / yr
Posted
82 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $191k
This role $200k
$133k $263k
below market most similar roles pay here above market

This role pays more than 61% of similar roles. Most pay $157,312–$225,000 — the blue band above. At the midpoint, this role pays about $200k versus about $191k for comparable roles.

Based on 240 similar postings.

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About Goldman Sachs

Goldman Sachs is a leading global investment banking, securities, and investment management firm providing financial services to corporations, financial institutions, governments, and individuals.

Goldman Sachs currently has 71 open roles on FindRole.

Listed pay typically runs $140,000–$250,000 across 34 roles with salary data.

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At a glance

TL;DR · Frontline Production Engineer, Global Banking & Markets, Vice President

Frontline Production Engineer, Global Banking & Markets, Vice President The Site Reliability Engineering team requires a professional to ensure the availability, resilience, and performance of core business services for a global 24x7 trading operation. You will design, build, and operate high-availability, multi-region, cloud-native services while managing SLIs, SLOs, and error budgets. Key responsibilities include leading incident response for latency-sensitive trade lifecycle systems, automating operational toil, and orchestrating AI agents to accelerate root-cause analysis and production-quality automation. You will utilize Java 17+, Kubernetes, Docker, GCP, AWS, and Apache Kafka. The role demands strong risk acumen to manage capacity planning and chaos engineering within a regulated financial services environment. You will also implement observability standards using Prometheus, Grafana, and OpenTelemetry to maintain high-throughput data paths and distributed systems.

What you'll do

  • Design and operate high-availability, multi-region, cloud-native services with integrated security and observability.
  • Establish and manage SLIs, SLOs, and error budgets for critical trading services.
  • Lead incident response for latency-sensitive systems by diagnosing issues and coordinating cross-functional responders.
  • Develop event-driven architectures and optimized data paths for high-throughput trade lifecycle management.
  • Automate repetitive operational tasks and identify systemic risks through chaos engineering and capacity planning.
  • Orchestrate AI agents to accelerate root-cause analysis, remediation, and the generation of production-quality automation.
  • Conduct blameless post-incident reviews to translate findings into durable engineering improvements.

What we're looking for

  • 8+ years of professional software or reliability engineering experience.
  • Strong command of at least one major language, such as Java 17+ (preferred).
  • Demonstrated risk acumen to identify and mitigate operational and technical risks in a regulated financial environment.
  • Excellent communication and stakeholder-coordination skills for geographically distributed technical and non-technical audiences.
  • Proven experience running high-availability production environments including SLIs, SLOs, error budgets, and incident command.
  • Strong understanding of cloud infrastructure (GCP, AWS), container orchestration (Kubernetes, Docker), and infrastructure-as-code.
  • Working knowledge of AI models and AI-assisted engineering tools to govern agents and maintain quality over AI-generated work.
  • Experience building event-driven and distributed systems using messaging platforms like Apache Kafka.

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