JPMorgan Chase—Software Engineer III - Java

Job description

Description: Role Summary 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 JPMorganChase within the CCB, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job Responsibilities - Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems - Develops secure high-quality production code, and reviews and debugs code written by others - Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems - Serve as a subject matter expert in AWS, Terraform, and cloud-native 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. - Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture - Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Required qualifications, capabilities, and skills - Formal training or certification on software engineering concepts and 3+ years of applied experience - Hands-on practical experience delivering system design, application development, testing, and operational stability within AWS - 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. - Expert level experience with data engineering technologies and tools such as Apache Kafka, Apache Spark, Cassandra and ETL processes. - Experience with distributed systems, microservices, Kubernetes, and containers - Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security - Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) - In-depth knowledge of the financial services industry and their IT systems Preferred qualifications, capabilities, and skills - Associate level certification or higher, such as AWS Solutions Architect Associate - Performance monitoring and tuning of applications - Observability Monitoring tools – Grafana and Dynatrace