Software Engineer III - Fullstack Java

JP Morgan Chase; Scotland; Presencial; GBP 65.000 - 90.000; Jornada completa

Descripción de la vacante

JPMorganChase is seeking a Software Engineer III to help design and deliver a strategic platform for Asset & Wealth Management's Data & Analytics teams. You will write core Java services on AWS and support onboarding across US, EMEA and APAC, while advancing AI and automation capabilities that shape how engineers work.

Join a cloud-native environment focused on scale, reliability, and secure coding practices, and collaborate with product teams to deliver platform capabilities that empower global

Formación

• Strong hands-on proficiency in Java, Spring Boot, and building production services in a large enterprise.
• Experience with AI-assisted development tools and evaluating AI outputs for correctness, performance, and security.
• Understanding of responsible AI use, data sensitivity, and secure handling in engineering workflows.
• Solid knowledge of the Software Development Life Cycle.
• Experience with AWS cloud services and infrastructure-as-code tools is a plus.

Responsabilidades

• Tackle complex problems and design scalable, resilient services from concept to production.
• Develop, debug, and maintain production Java services in a large enterprise.
• Conduct thorough code reviews to uphold engineering quality.
• Build automation and AI-based tooling to increase engineering leverage.
• Use AI coding-assist tools securely, with peer review and testing.
• Collaborate with engineering and product teams to deliver platform capabilities at scale.

Conocimientos

Java

Spring Boot

AI-assisted tools

AI safety

SDLC

Herramientas

AWS

Terraform

Descripción del empleo

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— 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
• Knowledge of Python will be added advantage.