Software Engineer II- Global Banking Platform

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 II 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.

Initially, successful candidates for the role will be seconded to a FinTech software partner. This is an exciting opportunity to experience the day to day of a fintech while being fully backed by JPMC. After the conclusion of the secondment, all secondees will return to JPMC and apply the knowledge, technologies and practices acquired and develop the critical services to support GBP’s worldwide journey to the cloud.

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)