Software Engineer III- Global Banking Platform

Be an integral part of a team thats 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.

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 GBPs 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)