Morgan Stanley

Director-level Java Developer responsible for designing, leading, and maintaining enterprise Tax Technology solutions supporting tax withholding, documentation, and regulatory reporting. The role combines hands-on Java engineering, technical architecture, delivery leadership, and team mentorship.

Senior Software Engineer on Parametric’s Quantitative Development team, modernizing applications and building cloud-native tools for portfolio construction, backtesting, and investment research. The role combines backend development, AWS cloud services, integrations, testing, and secure software practices in a hybrid work environment.

Senior Platform Engineer responsible for building and operating cloud-focused developer platforms, automation, observability, and Kubernetes environments. The role enables application teams to deliver reliable software efficiently through reusable tooling, CI/CD pipelines, and infrastructure automation.

Senior Software Engineer responsible for building scalable Java services and APIs for Parametric’s equity investments and client activities platform. The role combines cloud-native AWS development, distributed systems, testing, and technical mentorship in a hybrid work environment.

Build AI-native, quantitative applications that improve productivity, support revenue generation, and reduce risk across Morgan Stanley’s Investment Banking Division. This hands-on role partners closely with bankers to take solutions from prototype through production and adoption.

Lead end-to-end software engineering delivery for Morgan Stanley’s Securities Lending Technology team across Japan and Asia. This hands-on leadership role combines Java and Scala development, solution design, technical ownership, and close partnership with trading and operations.

Senior Software Engineer focused on building and operationalizing generative AI solutions across Parametric, from problem framing and model evaluation through deployment and iteration. The role combines deep ML/LLM expertise with platform engineering and close collaboration with business and engineering teams.

Lead secure access and governance for enterprise AI tools and model endpoints through web security gateways, proxy infrastructure, and AI security controls. This Vice President-level role combines cybersecurity engineering, AI platform integration, policy enforcement, and performance optimization.