Vista previa de la oferta
Software Engineer III- Global Banking Platform
senior · Technology / Software Development
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)