We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorgan Chase within the Commercial & Investment Bank Payments Technology team, you will be an experienced member of an agile team, tasked with designing and delivering reliable, market-leading technology products that are secure, stable, and scalable.
Job responsibilities - Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
- 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 3+ years applied experience
- Hands-on experience in enterprise software development, modern testing tools (JUnit, Mockito, Spring Test Framework)
- Excellent understanding of Java fundamentals and frameworks (Spring Boot), OO programming paradigms, multi-threading, messaging technologies and computer networks Experience in building high-performance, latency-sensitive Java applications
- Experience in maintaining and troubleshooting software running in a Linux environment, familiarity with the Linux operating system, system utilities, containers and cloud architectures and services
- Strong interpersonal and communication skills, with experience working with globally distributed engineers and stakeholders
- Understanding of the full software development lifecycle and agile approach
- Hands-on experience with event driven architecture and distributed messaging technologies (Kafka)
- 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
- Hands-on practical experience in system design, application development, testing, and operational stability. Proficient in coding in one or more languages
Preferred qualifications, capabilities, and skills - Hands on experience another statically compiled language like Golang, Rust
- Experience with gRPC and Google Protocol Buffers, caching technologies, e.g. Redis
- Experience with infrastructure as code software, e.g. Terraform, designing schemas/data structures in resilient SQL and NoSQL databases (e.g. CockroachDB)
- Familiarity with front-end technologies, like ReactJs. Certified Kubernetes and public cloud knowledge (e.g. CKAD and AWS certifications)
