Platform Engineer: AI-Driven Fintech Infrastructure

JPMorgan Chase & Co.; Greater London; On-site; GBP 85,000 - 130,000; Full time

Job summary

JPMorgan Chase & Co. seeks a Platform Engineer for the Accelerator Business Platform Team in London to drive secure, scalable cloud-native platform developments.

You will design and operate Kubernetes-based services, automate CI/CD, and strengthen security controls while fostering a culture of responsible AI usage across the squad. You will collaborate across tribes to ship high-quality production code, review peers, and contribute to reliable, observable systems in a fast-paced fintech

Qualifications

• Formal training or certification on software engineering concepts, such as CKAD, Google Associate Cloud Engineer Certification, or AWS Certified Solutions Architect
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming languages, such as Go, Java or Kotlin
• Advanced understanding of agile methodologies, CI/CD, application resiliency, and security
• Demonstrated proficiency in software applications and processes within a technical domain, such as cloud, AI, ML, mobile, etc.
• Practical cloud native experience, deploying Kubernetes applications on a cloud service provider
• Demonstrated experience leading effective use of approved AI-assisted software development tools with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

Responsibilities

• Develops secure high-quality production code, and reviews and debugs code written by others
• Develops composable infrastructure systems and capabilities
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Provide operational support for production systems in a “you-build-it-you-run-it” culture, including incident response and continuous reliability improvements.
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, equity, inclusion, and respect
• Designs, builds, and operates Kubernetes-based platform services, automates developer self-service and CI/CD, improves reliability and operational readiness, and strengthens platform security and controls via IaC, policy-as-code, and hardening standards.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the SDLC toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Skills

CKAD

Google Associate Cloud Engineer

AWS Architect

Programming Go/Java/Kotlin

Agile/CI-CD/Sec

Cloud native engineering

AI-assisted development

Responsible AI practices

Team collaboration

Problem solving

Tools

Kubernetes

Crossplane

Terraform

GitOps

Job description

JPMorgan Chase & Co. seeks a Platform Engineer for the Accelerator Business Platform Team in London to drive secure, scalable cloud-native platform developments.

You will design and operate Kubernetes-based services, automate CI/CD, and strengthen security controls while fostering a culture of responsible AI usage across the squad. You will collaborate across tribes to ship high-quality production code, review peers, and contribute to reliable, observable systems in a fast-paced fintech