Senior SRE - AI-Driven, Cloud & Observability Expert

Fairygodboss; Greater London; On-site; GBP 100,000 - 140,000; Full time

Job summary

JPMorgan Chase is seeking a Site Reliability Engineer to join the International Consumer Bank team in the UK. You’ll focus on reliability, observability, and automation for customer-facing digital banking services, helping reduce operational toil and improve performance at scale.

You will work with Kubernetes, cloud services, and enterprise AI-assisted tooling to design for resilience, implement self-healing patterns, and develop actionable metrics and alerts across microservices.

Qualifications

• Formal training or certification on software engineering concepts
• Proven experience as a software engineer, including proficiency in at least one programming language such as Python, Go, or Java.
• Demonstrated experience designing, coding, testing, and delivering software in at least one technology stack.
• Strong debugging and troubleshooting skills across distributed systems.
• Demonstrated experience as a Site Reliability Engineer or Site Reliability Engineer supporting production services.
• Working knowledge of microservice infrastructure components, including service discovery, ingress, networking, and load balancing.
• Experience with Kubernetes.
• Experience with cloud computing services.
• Familiarity with observability toolchains such as Grafana, Prometheus, Elasticsearch, Kibana, or Jaeger.
• Ability to use AI-assisted engineering tools responsibly.
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools.

Responsibilities

• Drive continuous improvement of reliability, monitoring, and alerting for mission-critical microservices.
• Reduce operational toil through automation by building reliable infrastructure and tooling that expedites feature development.
• Develop meaningful service metrics, user journeys, service-level indicators, service-level objectives, error budgets, dashboards, and actionable alerts.
• Engage with development teams throughout the software lifecycle to design for reliability and scale.
• Design and implement self-healing and resiliency patterns, including graceful degradation, rate limiting, circuit breakers, and failover strategies.
• Partner across engineering, product, and platform teams to promote reliability standards and adoption.
• Execute performance testing and capacity planning to proactively identify and remove bottlenecks.
• Participate in feature planning to ensure metrics, alerting, logging, automation, resiliency, capacity, and performance needs are built in from the start.
• Use approved AI tools to accelerate root-cause analysis, log and trace investigation, runbook drafting, post-incident analysis, test scaffolding, and documentation.
• Continuously develop AI skills relevant to the role, including effective prompting, output validation, automation workflows, and safe usage patterns.
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes.
• Applies knowledge of tools within the SDLC toolchain, including approved AI-assisted development and automation capabilities, to improve automation at scale.

Skills

Python

Go

Java

Distributed systems

Kubernetes

Cloud computing

AI-assisted tooling

Education

Bachelor's degree in Computer Science

Formal training in software engineering concepts

Tools

Grafana

Prometheus

Elasticsearch

Kibana

Jaeger

Job description

JPMorgan Chase is seeking a Site Reliability Engineer to join the International Consumer Bank team in the UK. You’ll focus on reliability, observability, and automation for customer-facing digital banking services, helping reduce operational toil and improve performance at scale.

You will work with Kubernetes, cloud services, and enterprise AI-assisted tooling to design for resilience, implement self-healing patterns, and develop actionable metrics and alerts across microservices.