Software Engineer III- Global Banking Platform

JPMorgan Chase & Co.; Greater London; On-site; GBP 100,000 - 140,000; Full time

Job summary

JPMorgan Chase & Co. is building the next generation core banking platform at global scale, using cloud-native tech, microservices, and CI/CD pipelines.

This role focuses on designing scalable services, secure coding practices, and production deployments across environments. You will work with multiple teams to translate requirements into actionable work items, contribute to architectural decisions, and apply AI-assisted development tools while ensuring resilience and security in enterprise

Qualifications

• Proficient in one major language (Go, Python or Java).
• Hands-on system design, development, testing and operational stability.
• Experience with Kubernetes and Terraform.

Responsibilities

• Design, implement and develop scalable, performant microservices using best practices.
• Write secure and high-quality code.
• Write automated unit tests and integration tests.
• Produce architecture and design artifacts for complex applications and ensure constraints are met.
• Identify problems in code and data to drive improvements to code hygiene and system design.
• Manage deployments from testing to production.
• Collaborate with other engineering teams to integrate features coherently.
• Translate requirements into trackable tickets.
• Contribute to engineering communities and share learnings.

Skills

Go

Python

Java

CI/CD

Secure coding

Automated testing

Tools

Kubernetes

Terraform

AWS

Observability tools

Kafka

Job description

Be an integral part of a team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Software Engineer III at JPMorgan Chase within the Global Banking Platform (GBP), you are an integral part of a team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.

We are building the next generation core banking platform that will operate at a global scale and will support hundreds of millions of accounts. We use cloud native technologies, and the work involves the development of micro-services, integrations, dashboards, production support tools and CI/CD pipelines.

Job Responsibilities

• Design, implement and develop scalable, performant microservices using software engineering best practices.

• Writes secure and high-quality code

• Writes automated unit tests, integration tests, etc.

• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development

• Proactively identifies hidden problems and patterns in code and data and uses these insights to drive improvements to coding hygiene and system architecture

• Manage and troubleshoot deployments from testing environments all the way to production.

• Interface with other engineering teams to ensure that features are added in a structured and coherent way.

• Translate generic product requirements into trackable tickets.

• Contributes to software engineering communities of practice and events that explore new and emerging technologies

• Adds to team culture of diversity, equity, inclusion, and respect
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
• Applies 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.

Required qualifications, capabilities and skills

• Formal training or certification on software engineering concepts and applied experience

• Hands-on practical experience in system design, application development, testing, and operational stability

• Proficient in at least one major programming language: Go, Python and/or Java

• Experience with Kubernetes and Terraform

• Experience in developing automated tests as an integral part of the development cycle.

• Overall knowledge of the Software Development Life Cycle

• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages

• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

• Experience with any cloud provider.
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.

Preferred qualifications, capabilities and skills

• Knowledge of banking / finance.

• Certification in AWS, Kubernetes (CKE) and Terraform

• Familiar with databases (SQL or NoSQL).

• Experience with client/server software architectures & networking, or microservice architectures.

• Experience with observability tools like Grafana, Prometheus, Open Telemetry and others.

• Experience with streaming architectures and tools (e.g. Kafka)