Software Engineer III - Asset Management Technology
Listed on 2026-08-28
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Software Development
Software Engineer, Full Stack Developer, DevOps, Backend Developer
Job Description
Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team
Job DescriptionDesign and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team
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 JPMorgan
Chase Asset Wealth Management, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Working within the global Fund Admin & Transfer Agency tech organization, you will take ownership of technical delivery end-to-end while actively engaging with stakeholders to translate business needs into well-planned, high-quality software solutions.
This role demands a self-starter who thrives in a collaborative environment, can manage competing priorities, and drives engineering excellence across the team.
- Executes the build-out of strategic end-to-end platform capabilities for Fund Administration and Transfer Agency businesses
- Design, develop, and deliver full stack software solutions, applying strong problem-solving skills to break down complex technical challenges.
- Engage directly with stakeholders and product owners to gather requirements, clarify scope, and ensure technical solutions align with business objectives.
- Participate in development planning activities including backlog refinement, sprint planning, effort estimation, and technical roadmap definition
- Adopt enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted coding pipelines, code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while following consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- Applies knowledge of tools within the Software Development Life Cycle toolchain
- Develop secure, high-quality production code and review peers' work to maintain consistency, reliability, and adherence to engineering standards.
- Identify opportunities to eliminate or automate remediation of recurring issues to improve the overall operational stability of applications and systems.
- Maintain clear and organized documentation including technical designs, architecture decisions, and runbooks, ensuring knowledge is shared and accessible.
- Participate in communities of practice across Software Engineering to drive awareness and adoption of modern tooling, patterns, and best practices.
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Core Java and full-stack application development, Object-oriented analysis and design techniques, experience with REST APIs
- Hands-on practical experience across the full Software Development Life Cycle, including system design, application development, testing, CI/CD pipelines, and operational support.
- Demonstrated ability to communicate effectively with technical and non-technical stakeholders, translating business requirements into actionable technical plans. (e.g. working collaboratively in agile teams and participating in Scrum ceremonies, stand-ups, retrospectives, sprint planning…)
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Experience in writing and maintaining comprehensive unit, functional, and integration tests.
- Experience implementing observability practices including monitoring, logging, tracing, alerting, and SLO/SLA management.
- Experience building event-driven systems and distributed architectures using messaging and streaming technologies such as Kafka.
- Experience integrating operational and investment data platforms through APIs, event streams, and data pipelines.
- Leverages enterprise-authorized AI coding assist tools within the work…
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