Lead SRE

Salary: £100,000 - 100,000 per year

Requirements:

• Formal training or certification on software engineering concepts and advanced applied experience
• 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 supporting production services in a Site Reliability Engineer role
• Working knowledge of microservice infrastructure components, including service discovery, ingress, networking, and load balancing
• Experience with Kubernetes
• Experience with cloud computing services
• Familiarity with common observability and reliability toolchains such as Grafana, Prometheus, Elasticsearch, Kibana, or Jaeger
• Ability to use AI-assisted engineering tools responsibly, including validating outputs, understanding failure modes, and applying secure handling of sensitive information
• Experience with AWS
• Experience building internal tooling for reliability, including command-line tools, automation pipelines, operators, or controllers
• Experience improving developer experience through golden paths, paved roads, templates, or reusable engineering patterns
• Experience applying AI to operational workflows such as alert enrichment, summarisation, runbook generation, or anomaly triage using approved tools and patterns

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

Technologies:

• AI
• AWS
• Cloud
• ElasticSearch
• Grafana
• Java
• Kibana
• Kubernetes
• Load Balancing
• Prometheus
• Python
• microservices
• Support
• Network

More:

We are JPMorganChase, partnering with hackajob to hire for this role within our International Consumer Bank. We launched Chase UK to transform digital banking with intuitive customer journeys and are rapidly expanding our presence in the UK and soon across Europe. As part of our diverse, inclusive, and geographically distributed team, you will help us build the bank of the future from the ground up and improve the reliability, resilience, observability, and operability of our customer-facing digital banking services. Our Corporate Technology team supports our global corporate functions, and we value long-term partnerships, diversity, inclusion, and reasonable accommodations for applicants and employees.

last updated 35 week of 2026