Foundation Engineering - SRE Platforms - Site Reliability Engineer – Associate

Location
London, Greater London, England
Hours
Full Time - Standard business hours with flexibility as required to support production systems
Salary
Negotiable
About the Role
Goldman Sachs is undertaking a major engineering initiative: the Consolidated Trade Ledger (CTL), a complete redesign of the front-to-back architecture supporting every trade executed by the firm. This flagship, cloud-native platform is central to the firm's technology strategy and will enable growth, scalability, and operational efficiency for the next two decades within Global Markets. We are seeking a Site Reliability Engineer to build, operate, and continuously improve this critical service. The role blends software and systems engineering with production expertise to enhance the reliability, scalability, observability, incident response, and operational efficiency of the CTL platform. You will work closely with engineering teams to ensure robust, maintainable automation and resilient infrastructure that supports mission-critical financial services.
Experience
- Strong programming skills in one or more modern languages, preferably Java or Go, with experience building maintainable automation beyond simple scripting.
- Solid understanding of networking, messaging, distributed systems, data structures, algorithms, and software design fundamentals.
- Hands-on experience with observability tools such as Prometheus, Grafana, ELK, or OpenTelemetry.
- Proven ability to investigate production issues, identify root causes, and implement durable engineering fixes to improve system behavior and reduce repeat incidents.
- Experience supporting mission-critical production systems, ideally within financial services.
- Familiarity with public cloud platforms, preferably Google Cloud Platform (GCP), cloud-native architecture, Kubernetes, microservices, or service mesh technologies.
- Experience with progressive delivery techniques such as canary releases, blue/green deployments, feature flags, or chaos/game days.
- Experience developing AI-assisted operations capabilities like alert enrichment, anomaly detection, triage support, or runbook automation.
About you
Excellent written and verbal communication skills with the ability to translate complex technical issues into clear updates for technical, business, and senior stakeholders. You demonstrate a strong engineering mindset focused on automation, coding, debugging, testing, scalable design, and systems thinking. You thrive in incident leadership roles, maintaining calm execution, escalation discipline, clear communication, and a blameless learning culture.
Qualifications
Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
Goldman Sachs










