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JPMorgan Chase logo

Software Engineer III - Asset Management Technology

JPMorgan Chase
ON SITE
FULL TIME

Jersey City, NJ, United States

Salary context

Typical pay for US Software Engineer Jobs roles: $140k–$195k (median $160k).

Based on 761 live listings with disclosed salary.

Dept: Software Engineering

Related searches

US Software Engineer Jobs in Jersey City

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Use these guides to compare role fit, employer history, and public sponsorship evidence. An employer's past filing activity does not guarantee sponsorship for this opening or for a particular candidate.

  • career guideCareer guideA practical, data-led report for comparing recent employer H-1B filing history with live product, engineering, software, and design openings.
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Description

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. Job 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. Required qualifications, capabilities, and skills - 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 . Preferred qualifications, capabilities, and skills - 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
ATS: oracle hcmPosted: Aug 19, 2026Updated: Aug 23, 2026View original posting

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Software Engineer III - Asset Management Technology

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