Software Engineer III, Global Equity Portfolio Management Technology

JPMorgan Chase & Co.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Software Engineer III to join their Asset Management Equity Portfolio Management Technology team. This role is crucial for designing and delivering leading technology products that support critical portfolio management applications and overall firm objectives.

The ideal candidate will have a Bachelor’s Degree in Computer Science and 3+ years of software engineering experience, with a strong background in scalable systems and modern UI technologies.

Qualifications

• 3+ years applied experience in software engineering.
• Proven track record in building scalable platforms.
• Experience with multithreaded and distributed systems.

Responsibilities

• Support portfolio management applications in production.
• Implement event-driven/streaming capabilities.
• Drive engineering best practices.

Skills

Software engineering concepts

JavaScript/TypeScript

Core Java

Object-oriented design

Problem-solving skills

AI coding assist tools

Education

Bachelor's Degree in Computer Science

Tools

Kafka

CI/CD

Job description

As a Software Engineer III in Asset Management Equity Portfolio Management Technology, you serve as a seasoned member of an agile team to design and deliver trusted market‑leading technology products in a secure, stable and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Support critical portfolio management applications in production. Partner directly with Portfolio Managers (PMs) to triage incidents, restore service quickly, and drive long‑term stability improvements.
• Design and engineer scalable, high‑performance systems spanning portfolio construction through portfolio implementation workflows.
• Translate investment workflows into intuitive, resilient tools by working closely with PMs, product partners, and engineering peers.
• Architect and implement event‑driven/streaming capabilities (e.g., Kafka) to ingest market data, signals, reference data, and intraday portfolio events with strong observability, replay, and data quality controls.
• Drive engineering best practices (clean code, automated testing, secure coding, CI/CD, peer reviews) to raise quality and delivery speed.
• Champion AI‑assisted development practices and help standardize/practice adoption of AI engineering patterns across the team.
• Contribute to a culture of inclusion, respect, and shared ownership across the team.
• Leverage 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; contribute learnings and reusable patterns to improve broader team effectiveness.
• Apply 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.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience.
• Bachelor’s Degree in Computer Science or equivalent.
• Proven track record building and delivering highly scalable platforms. (Experience with multithreaded, concurrent, distributed systems)
• Strong expertise in modern UI technologies (JavaScript/TypeScript) and core Java with solid object‑oriented design fundamentals. Proven ability to write clean, maintainable, well‑tested code.
• Hands‑on enterprise development experience with solid understanding of software design principles, especially event‑driven architecture and the ability to deep‑dive/debug complex production codebases.
• Ability to partner closely with business stakeholders, product leads, and cross‑functional technology teams to translate complex needs into actionable roadmaps and measurable outcomes.
• Strong problem‑solving skills, sound engineering judgment, and comfort operating in ambiguity.
• AI practitioner with hands‑on experience using AI coding/agent tools (e.g., Copilot/Codex/Claude Code).
• 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.

Preferred qualifications, capabilities, and skills

• Experience in financial services or Portfolio Management technology.
• Knowledge of distributed systems and microservices architecture.
• Practical cloud‑native experience (CI/CD, infrastructure‑as‑code, observability) is a plus.
• Interest in financial markets and portfolio management workflows.