Senior Associate Software Engineer- Fullstack Java

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 Asset & Wealth Management – Data & Analytics team, you’ll help design and deliver the strategic platform on which multiple teams within the organisation relies. You’ll write core Java services on AWS, and you’ll join at a genuinely interesting moment: we’re expanding our platform to support onboarding across US, EMEA and APAC consumers, and we’re actively building out AI and automation capabilities that are changing how our engineers work day to day. If you want to work on hard problems in a scaling, cloud-native environment — and shape where the platform goes next — this is a great seat.

Job responsibilities

• Tackle complex technical problems and think beyond conventional approaches to build scalable, resilient solutions — from service design through debugging and production stability
• Develop, debug, and maintain production services in a large enterprise environment using modern programming languages and database querying languages
• Conduct thorough code reviews and debugging to uphold engineering excellence across the team.
• Build and improve automation and AI-based tooling that raises engineering leverage across the team, and contribute reusable patterns back to the group
• Leverage enterprise-authorized AI coding-assist tools (code generation/refactoring, unit-test creation, documentation) to improve quality, speed, and productivity across complex deliverables — validating outputs through peer review, automated testing, and secure coding standards
• Collaborate across engineering and product teams to deliver platform capabilities that support global investment operations at scale

Required qualifications, capabilities, and skills

• Strong hands‑on proficiency in Java, Spring boot, Spring batch— designing, developing, testing, debugging, and maintaining production services in a large enterprise environment
• 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
• Overall knowledge of the Software Development Life Cycle

Preferred qualifications, capabilities, and skills

• Experience building on AWS cloud services (compute, storage, messaging, and access management)
• Experience with Terraform or other infrastructure‑as‑code tools for provisioning and managing cloud infrastructure
• Interest or experience in AI/agentic tooling or developer‑automation platforms

#J-18808-Ljbffr