You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.
As a Software Engineer II at JPMorganChase within the Consumer and community banking- Data technology, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.
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.
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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 5+ years applied experience
- Hands-on practical experience in system design, application development, testing, and operational stability
- Experience in developing, deploying and administering Java applications using JAVA, Spring Boot, Spring REST, Spring JPA and Hibernate and Web services technologies (REST).
- Working knowledge in any one of the Public Cloud Environments - Amazon Web Services (AWS S3, Lamda, EC2, ECS, RDS, etc.), Microsoft Azure, or Google Cloud Platform.
- Experience with Distributed tracing, Monitoring tools, Micro service Architecture, Apache Kafka and Camunda.
- Experience in UI frameworks such as React JS, Angular JS, HTML5, JavaScript, CSS, XML, JQuery.
- 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.
- Experience working in Application Development, Quality and Automation teams
- Experience in using SCM tools and frameworks such as Bitbucket, GitHub.
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Must have hands on the following build tools (or similar): IntelliJ/Eclipse, Jenkins, Maven, BitBucket/Git/Gitflow, JMeter/Blazemeter.
Preferred qualifications, capabilities, and skills
- Have good understanding on DBMS concepts.
- Good knowledge of issue tracking systems, preferably Jira and Confluence
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Good to have experience in Terraform, Kubernetes and Snowflake.