Software Engineer III- 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 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)