AI/ML Platform Reliability Engineer III

JPMorgan Chase & Co.; Glasgow; On-site; GBP 70,000 - 110,000; Full time

Job summary

JPMorganChase is seeking a Software Engineer III within the AI/ML Data Platforms organization to enhance reliability and scalability of AI/ML platforms. You will design, build, and maintain production-grade code and tooling, and collaborate across teams to deliver high-impact AI capabilities with operational excellence.

The role emphasizes observability, security, and resilience, with on-call responsibilities and a focus on scalable cloud-native infrastructure across Google Cloud, AWS, or Azure,

Qualifications

• 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 Python.
• Proficiency in all aspects of the Software Development Life Cycle.
• Experience with infrastructure-as-code and cloud-native delivery practices, including 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 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.
• Hands-on experience using enterprise-authorized AI-assisted software development tools with demonstrated ability to evaluate 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.

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.
• Participates in on-call rotations and escalation workflows, Debug and solve issues in a production environment, take full ownership of problems, develop solutions.
• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
• Leverages enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity, while validating outputs through peer review, automated testing, and secure coding standards
• Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
• Adds to team culture of diversity, opportunity, inclusion, and respect

Skills

Python

System design

Application development

SDLC

Observability

AI-assisted development tools

Responsible AI

Distributed systems

Cloud platforms

CI/CD pipelines

Tools

Terraform

Kubernetes

OpenTelemetry

Dynatrace

Grafana

Cloud CI/CD tooling

Job description

JPMorganChase is seeking a Software Engineer III within the AI/ML Data Platforms organization to enhance reliability and scalability of AI/ML platforms. You will design, build, and maintain production-grade code and tooling, and collaborate across teams to deliver high-impact AI capabilities with operational excellence.

The role emphasizes observability, security, and resilience, with on-call responsibilities and a focus on scalable cloud-native infrastructure across Google Cloud, AWS, or Azure,