Software Engineer II

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 Corporate Sector – Infrastructure Platforms, 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 standard software solution, design, development, and technical troubleshooting
- Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
- Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
- 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
- Applies technical troubleshooting to breakdown solutions and solve technical problems of basic complexity
- Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
- Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
- Support integration, deployment and production readiness activities across the software development life cycle’ Improve observability, resilience and operational stability of application components
- Collaborate with product, architecture and engineering partners to refine requirements and deliver solutions; Participate in code reviews and promote engineering standards, quality and best practices
- Identify opportunities to automate repetitive tasks and improve developer efficiency; Contribute to documentation, knowledge sharing and continuous improvement across the team

Required qualifications, capabilities, and skills

- Formal training or certification on software engineering concepts and 2+ years applied experience
- Hands-on practical experience in system design, application development, testing, and operational stability
- Experience in software engineering , including designing, coding, testing and delivering software solutions
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.
- Proficiency in one or more modern programming languages (Python & Terraform)
- Experience building applications or services using scalable and maintainable design practices; Understanding of the software development life cycle, including design, development, integration and deployment
- Experience with testing, debugging and troubleshooting in distributed or enterprise environments; Familiarity with code review practices, version control and CI/CD workflows
- Ability to collaborate effectively with cross-functional teams and participate in technical design reviews; Strong problem-solving skills with attention to quality, reliability and performance

Preferred qualifications, capabilities, and skills

- Experience working on platform engineering or shared services teams
- Familiarity with cloud, container or API-based architectures, Java programming a Plus
- Experience improving application monitoring, observability and operational resilience; Exposure to automation, developer tooling or engineering productivity improvements
- Knowledge of secure software engineering and enterprise development standards
- Experience supporting modernization initiatives in large-scale environments