Lead SRE - AWS Platform

JP Morgan Chase; Glasgow; On-site; GBP 62,000 - 102,000; Full time

Job summary

JPMorganChase within Infrastructure Platforms seeks a Lead Site Reliability Engineer to drive the future of reliability for a globally recognized firm. You will play a pivotal role in establishing observability, incident response, and resiliency across large‑scale applications and platforms.

This full‑time UK role emphasizes collaboration, security, and data‑driven improvements, leveraging AI in incident triage and post‑incident analysis while ensuring governance and guardrails are in place.

Qualifications

• Formal training or certification on site reliability engineering concepts.
• Demonstrated hands‑on experience with AWS cloud workloads.
• Proficiency in reliability, scalability, performance and enterprise system architecture.
• Fluency in Python, Java/Spring Boot or .NET.
• Observability, monitoring, SLIs and telemetry in large environments.
• CI/CD practices and tooling proficiency.
• Container technologies and orchestration experience.
• Networking troubleshooting in complex environments.
• Experience evaluating new technologies for resiliency and security.
• Experience using AI capabilities to support SRE workflows with validation and data sensitivity awareness.
• Ability to evaluate AI recommendations for correctness and risk with guardrails.
• Cloud platforms and IaC tooling in enterprise settings.
• Chaos engineering and proactive resiliency testing.
• Community contributions and knowledge sharing.
• Exposure to advanced observability platforms and distributed tracing.

Responsibilities

• Champion site reliability culture and share knowledge across the organization.
• Use data analytics to improve service levels and resolve bottlenecks.
• Collaborate to define service level indicators and objectives with stakeholders.
• Design and implement observability frameworks and alerting strategies.
• Act as primary incident contact to diagnose and resolve issues quickly.
• Share deep technical guidance with peers across the team.
• Drive AI-assisted reliability workflows across the software lifecycle.
• Use enterprise AI capabilities to accelerate major incidents while ensuring data handling compliance.

Skills

Site reliability concepts

Programming languages

Observability

CI/CD

Container orchestration

Networking troubleshooting

AI in operations

Resiliency design reviews

Cloud platforms

Chaos engineering

Tools

AWS

Job description

Salary: £62,000 - 102,000 per year

Requirements

• Formal training or certification on site reliability engineering concepts and advanced applied experience
• Demonstrated hands‑on experience with Amazon Web Services (AWS), including deploying, operating, and maintaining resilient, highly available workloads in a cloud environment
• Demonstrated proficiency in reliability, scalability, performance, and enterprise system architecture, with hands‑on experience conducting resiliency design reviews and implementing resiliency best practices
• Fluency in at least one programming language such as Python, Java/Spring Boot, or .NET
• Proficient knowledge and experience in observability, including white and black box monitoring, service level objective alerting, and telemetry collection across large‑scale production environments
• Proficiency with continuous integration and continuous delivery practices and tooling
• Proficiency with container technologies and container orchestration
• Experience troubleshooting common networking technologies and issues
• Advanced knowledge of software applications and technical processes with emerging depth in one or more technical disciplines, with a demonstrated ability to evaluate and recommend suitable new technologies
• Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve site reliability engineering workflows (e.g., incident investigation support and knowledge capture) with strong validation habits and awareness of data sensitivity
• Ability to evaluate AI‑assisted operational recommendations for correctness and risk, define appropriate guardrails for team usage, and ensure outcomes align to resiliency and security expectations
• Experience with cloud platforms and infrastructure‑as‑code tooling in an enterprise environment
• Familiarity with chaos engineering principles and proactive resiliency testing practices
• Experience contributing to communities of practice, internal knowledge‑sharing forums, or engineering guilds
• Exposure to advanced observability platforms and distributed tracing in large‑scale production environments

Responsibilities

• Consistently champion site reliability culture and practices, documenting and sharing knowledge across our organization through internal forums and communities of practice
• Drive initiatives to improve the reliability and stability of our teams applications and platforms using data‑driven analytics to improve service levels, proactively identifying and resolving technology‑related bottlenecks
• Collaborate with our team to identify comprehensive service level indicators and partner with stakeholders to establish reasonable service level objectives and error budgets
• Design and implement observability frameworks and alerting strategies, including white and black box monitoring, service level objective‑based alerting, and telemetry collection to ensure proactive detection and response
• Serve as the primary point of contact during major incidents for our application, applying strong diagnostic skills to identify and resolve issues quickly and minimize business impact
• Apply deep technical expertise within one or more technical domains, sharing knowledge and providing guidance to peers across the team
• Drive reuse‑first adoption of AI‑assisted reliability workflows across the software development lifecycle and toolchain practices, ensuring traceability, auditability, resiliency, and security controls
• Use enterprise‑authorized AI capabilities within our work environment to accelerate major‑incident triage, troubleshooting, and post‑incident analysis, validating outputs and handling operational data according to sensitivity and security requirements

Technologies

• AI
• AWS
• Cloud
• Support
• Java
• Marketing
• Python
• Security
• Spring
• Spring Boot
• Web
• ASP.NET

More

We are JPMorganChase within Infrastructure Platforms, and we are seeking a Lead Site Reliability Engineer to help define the future of a globally recognized firm. In this role, you will have a direct, meaningful impact in a space built for top achievers in site reliability engineering. We are a global leader in financial services, providing strategic advice and products to leading corporations, governments, wealthy individuals, and institutional investors. Our first‑class business in a first‑class way approach to serving clients drives everything we do, and we strive to build trusted, long‑term partnerships to help our clients achieve their business objectives. We value diversity and inclusion, offer reasonable accommodations where needed, and our Corporate Functions teams support our businesses, clients, customers, and employees across finance, risk, human resources, marketing, and more. This is a full‑time role.

last updated 36 week of 2026