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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)
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