Overview
As a Full Stack Software Engineer III in the Asset Management Team, you design and deliver secure, scalable tech products that support key business functions. You will collaborate with cross-functional teams to solve complex problems, improve delivery, and uphold high-quality outcomes, shaping the technology landscape with innovation. You work across multiple technical areas to support enterprise objectives and drive resilient software solutions. You will leverage AI-assisted development to boost automation and code quality, while ensuring security and scalability at scale.
Responsibilities
- Execute software solutions and contribute to design, development, and troubleshooting
- Create secure, high-quality production code and maintain algorithms
- Leverage AI coding assist tools to improve quality, speed, and productivity
- Validate outputs via peer reviews, automated testing, and secure coding standards
- Contribute learnings and reusable patterns to improve team effectiveness
- Apply SDLC toolchain knowledge to development
- Utilize AI-assisted development and automation to maximize value
- Produce architecture and design artifacts for complex applications
- Ensure design constraints are met during coding
- Identify hidden data patterns to drive improvements
- Enhance coding hygiene and system architecture
Key requirements
- Formal training or certification in software engineering concepts and advanced applied experience
- Strong hands-on experience with Java
- Experience with data distribution and consumption using event, Kafka streaming, API (GraphQL and REST), and bulk methods
- Public cloud experience, AWS, with knowledge of mesh data distribution using Snowflake and Starburst compute engines
- Hands-on experience in system design, development, testing, and operational stability
- Experience coding in a large corporate environment with modern languages and database querying
- Experience using enterprise-authorized AI-assisted development tools for coding, testing, or documentation
- Ability to critically evaluate and refine AI-generated outputs for correctness, performance, and security
- Understanding of responsible AI use in engineering workflows, data handling, resiliency and security expectations
- Understanding of the Software Development Life Cycle and agile methodologies (CI/CD, resiliency, security)
- collaboration
- problem solving
- communication
- Java
- Kafka
- GraphQL
Senior Associate Software Engineer- Fullstack Java in Glasgow employer: JP Morgan Chase
Morgan is an exceptional employer, offering a dynamic work culture that prioritises diversity and inclusion while fostering employee growth through comprehensive coaching and development opportunities. As a global leader in financial services, we empower our teams to drive impactful product management and AI enablement, ensuring that every employee can contribute meaningfully to our clients' success in a collaborative environment located at the heart of the financial sector.
