01Overview
Youre 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 JPMorgan Chase within the Corporate & Investment Bank, Merchant Services, you are part of an agile team that designs, enhances, and delivers secure, stable, and scalable software components for the firms state-of-the-art technology products. In this emerging engineering role, you contribute to the end-to-end execution of software solutionsincluding design, development, and technical troubleshootingacross multiple components of applications and systems, while building the skills and experience needed to advance and grow within your role.
Job responsibilities
Executes standard software solution, design, development, and technical troubleshootingWrites secure and high-quality code using the syntax of at least one programming language with limited guidanceLeverages 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 implicationsApplies 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 automationUses enterprise-authorized AI capabilities within the work environment to speed up incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements.Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application developmentApplies enterprise-authorized AI capabilities within the work environment to identify recurring toil and reliability risks from operational signals, prioritizing reuse-first improvements and measurable SLO outcomes.Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 2+ years applied experience ( NAMR/APAC India/ LATAM/ Hong Kong)Hands-on practical experience in system design, application development, testing, and operational stabilityExperience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languagesHands-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.Working knowledge of using enterprise-authorized AI capabilities within the work environment to support SRE workflows (e.g., troubleshooting support and runbook drafting) with strong validation habits and awareness of data sensitivity. Ability to assess AI-assisted operational recommendations for correctness and risk, and apply appropriate controls to maintain resiliency, security, and auditability.Hands-on experience using enterprise-authorized AI-assisted software development tools (e.g., Copilot, Claude Code) within the work environment for coding, testing, troubleshooting, or documentation, with demonstrated ability to critically evaluate and validate AI-generated outputs through rigorous code review and testing practices.Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.Preferred qualifications, capabilities, and skills
Full stack Java developer experience in enterprise application developmentStrong experience in SDLC delivery in Agile methodologiesAt least two years experience in Java 17+Experience developing microservices, packaged into AWS Elastic Kubernetes Service and/or Elastic Container Service, and deployed to EC2 instancesExperience writing Terraform scripts and deploying in AWS production environmentExperience in at least one relational database management system (preferably Oracle or PostgreSQL) .
