Lead Software Engineer - Application Owner

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

Job summary

We are hiring an Application Owner and Lead Software Engineer within JPMorganChase Public Cloud Engineering. You will own end-to-end operational integrity, including controls, audit readiness, resiliency, recovery, and production outcomes, while partnering with engineering, risk and control, and operations stakeholders.

This hands-on role requires delivering secure, scalable platform solutions with a focus on AI-assisted engineering practices and continuous improvement across the SDLC.

Qualifications

• Experience building and operating enterprise software in production.
• Own production applications with strong operational accountability, including controls and recovery.
• Strong system design fundamentals with cloud-native patterns.
• Hands-on experience with Go-based services and modern CI/CD practices.
• Experience operating workloads on AWS and Kubernetes/EKS in production.

Responsibilities

• Serve as the accountable application owner for Atlas Wholesale Platform, ensuring production risk controls and outcomes.
• Lead audits and control testing for the application, including evidence preparation and remediation commitments.
• Own risk and control findings from intake through remediation and closure with stakeholders.
• Maintain current architecture and operational documentation, including runbooks and data flows.
• Own resiliency and disaster recovery planning, including test execution and after-action reviews.
• Define and improve production readiness standards, including release safety and rollback strategy.
• Contribute hands-on to design and delivery through system design, code reviews, and automation.
• Build and maintain automation to improve operational outcomes, such as guardrails and health checks.
• Lead architecture and design evaluations with partners and vendors for security and viability.
• Drive team adoption of enterprise AI-assisted engineering practices and secure coding standards.
• Apply SDLC tooling to improve automation value.

Skills

Enterprise software ownership

Production reliability

Cloud architecture design

Go language

AI governance

Tools

AWS

Kubernetes

Terraform

CI/CD

Azure

Job description

Salary: £62,000 - 102,000 per year

Requirements:

• Experience building and operating enterprise software in production, including design, development, testing, and operational excellence.
• Demonstrated experience owning production applications with strong operational accountability, including controls, resiliency and recovery, and remediation tracking.
• Strong system design fundamentals and cloud-native operational patterns, including scalability, reliability, observability, and dependency management.
• Hands-on experience with Go-based services and modern CI/CD practices.
• Experience operating workloads on AWS and Kubernetes or EKS in a production environment.
• Practical experience with infrastructure as code using Terraform and supporting release safety through automation.
• Strong understanding of SDLC best practices, including automated testing, change management, and vulnerability management.
• Ability to lead through influence without direct reports, align stakeholders, and drive issues to closure.
• Demonstrated experience leading effective use of approved AI-assisted software development tools, such as for coding, code review, test acceleration, and troubleshooting, and setting team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.
• Preferred: Experience participating in audits or security compliance assessments, such as PCI or similar.
• Preferred: Experience with advanced Kubernetes operational patterns, including policy and guardrails, progressive delivery, service-to-service security, and multi-AZ resilience.
• Preferred: Experience using agentic AI developer tools to improve throughput and quality within appropriate governance and secure usage patterns.
• Preferred: Experience with additional cloud providers, such as Azure or Google Cloud.

Responsibilities:

• Serve as the accountable application owner for Atlas Wholesale Platform, ensuring clear ownership of production risk, controls, and operational outcomes.
• Lead audits and control testing for the application, including walkthroughs, evidence preparation, issue responses, and remediation commitments.
• Own risk and control findings from intake through remediation and closure, coordinating with internal teams and third parties as needed.
• Maintain current, high-quality architecture and operational documentation, including high-level design, dependency maps, data flows, control narratives, and runbooks.
• Own resiliency and disaster recovery planning, including recovery objectives, test execution, after-action reviews, and follow-up actions.
• Define and continuously improve production readiness standards, including release safety and rollback strategy, dependency awareness, observability requirements, and operational runbooks.
• Contribute hands-on to design and delivery through system design, code reviews, automation, and complex troubleshooting, delivering secure-by-design and reliable-by-default solutions.
• Build and maintain automation that improves operational outcomes, such as guardrails, health checks, drift detection, remediation automation, and safer deployment patterns.
• Lead architecture and design evaluations with internal partners and external vendors, assessing technical fit, security posture, and operational viability.
• Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes; establish validation standards for secure coding, peer review, and automated testing, and promote reuse of effective patterns.
• Apply knowledge of SDLC tools, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized through automation.

Technologies:

• Agentic AI
• AI
• AWS
• Azure
• CI/CD
• Cloud
• Kubernetes
• Marketing
• Security
• Terraform
• DevOps
• Support

More:

We are hiring an Application Owner and Lead Software Engineer within JPMorganChase Public Cloud Engineering. In this hands-on technical leadership role, you will own end-to-end operational integrity, including controls, audit readiness, resiliency, recovery, and production outcomes, while partnering with engineering, platform, risk and control, and operations stakeholders to build and run a secure, stable, and scalable platform. We are a global financial services leader providing strategic advice and products to corporations, governments, wealthy individuals, and institutional investors. Our client-focused approach is built on trusted, long-term partnerships. We value the diverse talents of our global workforce and are committed to equal opportunity, diversity, inclusion, and reasonable accommodations. Our Corporate Functions span areas including finance, risk, human resources, and marketing, and help equip our businesses, clients, customers, and employees for success. This is a full-time role.

last updated 40 week of 2026