Software Engineer II - Payments, SRE

JPMorgan Chase & Co.; Tampa (FL); On-site; USD 90,000 - 130,000; Full time

Job summary

JPMorganChase seeks a Software Engineer II to join the Payments Technology group in Tampa. You’ll contribute on an agile team delivering real-time, trusted payments technology at a global scale, with secure, scalable software and strong engineering mentorship.

You’ll work at the intersection of cloud infrastructure, AI-assisted development tools, and data-driven product delivery, solving complex problems that move money worldwide.

Qualifications

• Formal training or certification in software engineering with 2+ years of applied experience.
• Experience in system design, application development, testing, and operational stability.
• Experience coding in a modern language and database querying.
• Experience using enterprise AI-assisted development tools with validation of outputs.
• Understanding of responsible AI use in engineering workflows.
• Experience across the full Software Development Life Cycle.
• Exposure to CI/CD, application resiliency, and security.

Responsibilities

• Execute standard software solution design, development, and troubleshooting.
• Manage monthly or quarterly deployments and updates.
• Perform PLM and SR activities to maintain stability and performance.
• Support daily production issues with root cause analysis.
• Collaborate with Operations to resolve breaks in debit/credit processes.
• Leverage AI-assisted coding tools to improve quality, speed, and productivity.
• Design, develop, code, and troubleshoot with upstream/downstream considerations.
• Apply SDLC toolchain knowledge to improve automation and value.
• Gathers and analyzes large data sets to inform decisions on security and stability.
• Learn and apply processes for secure, stable code and systems.

Skills

Software design

Code development

Operational stability

AI-assisted tools

CI/CD

Security awareness

Agile methodologies

Education

Software engineering certification

Tools

AI-assisted coding tools

REST APIs

MQ

Kafka

Cloud-native tech

Relational databases

Job description

Join a team where your engineering expertise powers real-time financial innovation at a global scale. At JPMorganChase, we invest in our people and technology to deliver solutions that matter — to our clients, our communities, and the future of finance. Here, you'll find the tools, mentorship, and opportunity to grow your career while solving some of the most complex challenges in the payments industry.

As a Software Engineer II at JPMorganChase within the Payments Technology group, you will be a key contributor on an agile team designing and delivering trusted, market-leading technology in a secure, stable, and scalable way. You'll work at the intersection of real-time payments, cloud infrastructure, and intelligent automation — helping drive meaningful change across critical financial systems. This is your opportunity to deepen your engineering expertise, collaborate with talented peers, and make a direct impact on how money moves around the world.

Job responsibilities

• Executes standard software solution, design, development, and technical troubleshooting
• Execute monthly or quarterly deployments, ensuring smooth and efficient implementation of updates and changes.
• Perform Product Lifecycle Management (PLM) and Service Request (SR) activities to maintain system stability and performance.
• Support daily production issues by conducting Root Cause Analysis (RCA) for core and code-related problems.
• Collaborate with Operations and other relevant teams to address and resolve breaks in debit or credit processes.
• 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

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 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.
• Experience across the whole Software Development Life Cycle
• Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Experience working with high-volume, low-latency data processing systems
• Familiarity with REST APIs, messaging technologies such as MQ and Kafka, in-memory data grids, and relational databases
• Exposure to modern front-end technologies and full-stack development practices
• Hands-on experience with cloud-native technologies and distributed systems architecture