Software Engineer III - Asset Management Technology

JPMorganChase•Jersey City, NJ

About The Position

Design 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 JPMorganChase 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.

Requirements

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 environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
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 .

Nice To Haves

Familiarity with modern front-end technologies, eg. REACT
Hands-on exposure to AWS cloud services and ecosystems
AWS Certified (e.g., Solutions Architect, Developer, etc.)
Financial Services experience.
Working knowledge of Fund Administration, Fund Accounting, Transfer Agency, Custody, Investment Operations, or Asset Management platforms

Responsibilities

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.