Software Engineer III - AI/ML Platform Reliability

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

Job summary

JP Morgan Chase is seeking a skilled Infrastructure/Platform Software Engineer to help design and scale AI/ML platforms in a cloud-native environment. The role emphasizes reliability, observability, and secure production code within enterprise-grade delivery pipelines.

You will work across AWS/Azure, deploy infrastructure with Terraform, and leverage AI-assisted tooling to boost code quality and delivery speed while maintaining strong governance and security practices.

Qualifications

• Formal training or certification on software engineering concepts.
• Hands-on experience delivering system design, application development, testing, and operational stability.
• Extensive Python programming experience.
• Experience with SDLC and cloud-native delivery practices.
• Experience with Terraform, containers, Kubernetes, CI/CD pipelines, and automated deployment workflows.
• Experience designing large-scale distributed systems and cloud-native architecture.

Responsibilities

• Design and implement reliable, scalable AI/ML platform solutions.
• Own non-functional requirements and tooling for observability, security, and resilience.
• Build and maintain scalable infrastructure for AI platforms and apps.
• Foster cross-functional collaboration to deliver user-focused solutions.
• Participate in on-call rotations and resolve production issues.

Skills

Python

Kubernetes

AWS

Azure

CI/CD

Observability

AI/ML Platforms

Security

Cloud-native

Tools

Terraform

OpenTelemetry

Job description

Salary: £62,000 - 102,000 per year

Requirements

• Formal training or certification on software engineering concepts and proficient applied experience.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Advanced proficiency in programming with Python.
• Proficiency in all aspects of the Software Development Life Cycle.
• Experience with infrastructure-as-code and cloud-native delivery practices, including tools such as Terraform, containers, Kubernetes, CI/CD pipelines, and automated deployment workflows.
• Experience in designing and developing large-scale distributed systems and cloud-native architecture.
• Experience building large scale infrastructure and cloud-native delivery practice in Google Cloud, AWS, or Azure and Terraform.
• Extensive experience implementing advanced observability using tools like Open Telemetry, Dynatrace, Grafana, and/or cloud-native services.
• Systematic problem-solving and troubleshooting skills in a complex system.
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment, with demonstrated ability to critically evaluate and validate AI-generated outputs.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.
• Prior experience working in AI Cloud Infrastructure.
• Prior experience developing GenAI Apps or AI Agents.
• Previous experience as an Infrastructure or Platform Software Engineer in a dynamic technology company or startup.
• Self-managed, self-motivated with strong sense of ownership, urgency, and drive

Responsibilities

• Design and implement solutions to enhance the reliability and scalability of AI/ML platforms and applications to accommodate fast-growing demands.
• Own NFRs and develop tooling for observability, security, resilience, infrastructure management, and operations excellence.
• Build and maintain scalable infrastructure to support the deployment and operation of large-scale AI platforms and apps.
• Build strong cross-functional relationships that foster engagements across the organization and deliver solutions to user problems.
• Participate in on-call rotations and escalation workflows, debug and solve issues in a production environment, and take full ownership of problems.
• Execute creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches.
• Develop secure high-quality production code, and review and debug code written by others.
• Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
• Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity, while validating outputs through peer review, automated testing, and secure coding standards.
• Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• Add to team culture of diversity, opportunity, inclusion, and respect.

Technologies

• AI
• AI Agents
• AWS
• Azure
• CI/CD
• Cloud
• Dynatrace
• Grafana
• Support
• Kubernetes
• Machine Learning
• Marketing
• Python
• Security
• Terraform

More:

We are JPMorganChase, a global leader in financial services, providing strategic advice and products to corporations, governments, wealthy individuals, and institutional investors. Our AI/ML Data Platforms organization is focused on pushing the boundaries of artificial intelligence and machine learning by building resilient, scalable systems with operational excellence at the core. We offer a first-class business in a first-class way approach, and our Corporate Functions teams support finance, risk, human resources, and marketing. We value diversity and inclusion, provide equal opportunity, and make reasonable accommodations for applicants and employees as needed. This is a full-time role, posted on 2026-08-11.

last updated 36 week of 2026