Software Engineer III, Global Equity Portfolio Management Technology

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 firms 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.
• 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.

Required qualifications capabilities and skills

• Formal training or certification on software engineering concepts and 3 years applied experience.
• Bachelors 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.