Top Tech Jobs & Startup Jobs

Provides hands-on technical leadership as an individual contributor designing, developing, and maintaining scalable Java transactional systems. Responsibilities include database design and optimization, DevOps and CI/CD implementation, application deployment, monitoring, troubleshooting, performance tuning, secure software development, and use of AI-enabled engineering tools. The role also involves architecture discussions, cross-functional collaboration, stakeholder communication, and resolving complex technical challenges.

Supervise and manage an APAC Middle Office IBOR support team serving multiple clients and funds. Oversee transaction processing, portfolio accounting, cash, asset and market-value reconciliations, exception management, reporting, and issue resolution. Ensure service-level, regulatory, and quality standards are met while coordinating with internal teams and external clients. Lead staff development, performance reviews, escalations, and process improvements using AI and digital tools.

Lead application development, manage multiple teams, drive software architecture and implementation, and ensure compliance with industry standards.

Leads the design, development, testing, deployment, and architecture of enterprise software solutions while remaining hands-on. Manages and mentors a global engineering team, drives Agile, SDLC, and PDLC practices, partners with stakeholders on technical delivery, and champions AI-enabled engineering tools and productivity improvements.

Design, develop, test, deploy, and support full-stack applications powering applied AI solutions and enterprise platforms. Integrate models, APIs, data services, automation workflows, and enterprise systems into secure, scalable products. Collaborate with product, engineering, data science, platform, operations, risk, and governance teams on technical design, implementation, testing, releases, troubleshooting, performance, observability, and production readiness. Improve existing systems, manage technical debt, and uphold enterprise security, privacy, resiliency, and architecture standards.

Designs, develops, tests, deploys, and supports full-stack applications powering applied AI solutions and enterprise platforms. Integrates models, prompts, APIs, automation workflows, data services, and enterprise systems into secure, scalable product experiences. Responsibilities include technical design, coding, testing, debugging, code reviews, CI/CD, deployment, production support, performance tuning, observability, and technical debt reduction. Collaborates with product, engineering, data science, platform, operations, risk, and governance teams in complex enterprise environments.

Design, develop, test, deploy, and support full-stack applications powering applied AI solutions and enterprise platforms. Integrate models, prompts, APIs, data services, automation workflows, and enterprise systems into secure, scalable products. Collaborate with product, engineering, data science, platform, operations, risk, and governance teams on technical design, implementation, testing, releases, troubleshooting, performance, production readiness, and ongoing support.

Design, develop, test, deploy, and support full-stack applications enabling applied AI solutions and enterprise platforms. Integrate AI/ML capabilities, APIs, data services, automation workflows, and enterprise systems into secure, scalable products. Collaborate with product, engineering, data science, platform, risk, and governance teams on technical design, implementation, testing, releases, troubleshooting, performance, observability, and production readiness. Improve existing systems, resolve defects, manage technical debt, and ensure enterprise security, privacy, resiliency, and maintainability standards.

Develop and maintain full-stack applications supporting AI solutions, enterprise platforms, and AI-enabled products. Integrate models, prompts, APIs, data services, automation workflows, and enterprise systems into secure, scalable experiences. Responsibilities include technical design, coding, testing, code reviews, deployment, troubleshooting, performance tuning, production support, and platform enhancement. Collaborate with product, engineering, data science, operations, risk, and governance teams while ensuring architecture, security, privacy, resiliency, and observability standards are met.

Maintains and validates security master and reference data across equities, fixed income, and derivatives. Processes income events and corporate actions in XENTIS, investigates data discrepancies, manages vendor relationships, and partners with fund accounting, custody, pricing, technology, and other stakeholders. The role also supports data-quality controls, documentation, root-cause analysis, automation, and timely escalation of operational issues.