Top Tech Jobs & Startup Jobs

Build, deploy, support, and enhance full-stack applications powering applied AI solutions and enterprise platforms. Integrate models, prompts, automation workflows, APIs, data services, and enterprise systems into secure, scalable products. Collaborate with product, engineering, data science, platform, risk, and governance teams on technical design, coding, testing, deployment, troubleshooting, performance, observability, and production readiness. Improve maintainability, reliability, and platform capabilities through reusable components and disciplined software engineering practices.

Manage and grow institutional client relationships for BNY Investments in Tokyo. The role owns revenue growth, asset retention, client satisfaction, strategic account planning, new business development, sales execution, proposal development, negotiations, and implementation. It requires partnering with senior stakeholders and internal teams to deliver tailored investment solutions, serving as a trusted advisor, monitoring industry and competitor trends, and maintaining accurate CRM pipeline information.

Develop and maintain secure, scalable full-stack applications supporting applied AI solutions and enterprise platforms. Responsibilities include integrating AI/ML capabilities, APIs, data services, automation workflows, and enterprise systems; designing, testing, deploying, troubleshooting, and enhancing software; supporting production readiness and platform reliability; and collaborating with product, engineering, data science, governance, risk, and operations teams.

A 24-month rotational engineering analyst program for undergraduate students. Participants develop applications, APIs, automation, developer tools, and platform capabilities across the software development lifecycle. Responsibilities include coding, testing, debugging, code review, CI/CD, secure development, monitoring, documentation, and collaboration with engineers, architects, and product partners. Analysts build foundational skills in software engineering, AI-assisted development, cloud and container concepts, reliability, and financial services technology.

Participate in a 24-month rotational engineering program, contributing to software design, development, testing, deployment, monitoring, and continuous improvement. Build applications, APIs, automation, developer tools, and platform capabilities using modern engineering practices. Collaborate with engineers, architects, and product partners while developing skills in JavaScript, Python, Java, CSS, AI-enabled development, secure coding, CI/CD, cloud concepts, and software reliability.

Participate in a 24-month rotational data science analyst program, applying data analysis, feature engineering, statistical methods, and machine learning to business and engineering problems. Build analytical models, automate processes, identify patterns and anomalies, and communicate data-driven recommendations. Collaborate with engineering and business teams while developing skills in Python, JavaScript, Java, distributed computing, and scalable data solutions.

Design, develop, test, deploy, and support full-stack applications powering 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 and delivery. Responsibilities include code reviews, automated testing, debugging, performance tuning, release management, production readiness, observability, and ongoing platform enhancements.

Design, develop, test, deploy, and support full-stack applications powering 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 solution design, coding, testing, releases, troubleshooting, performance, observability, and production readiness. Improve existing systems, manage technical debt, and ensure alignment with enterprise architecture, security, privacy, resiliency, and change-management standards.

Design, develop, test, deploy, and support full-stack applications powering 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 and delivery. Contribute to code reviews, testing, CI/CD, release planning, production readiness, troubleshooting, performance tuning, observability, and maintainability improvements.

Develop, test, deploy, and support full-stack applications powering AI-enabled products and enterprise platforms. Integrate AI/ML capabilities, APIs, data services, automation workflows, and enterprise systems. Collaborate with product, engineering, data science, platform, risk, and governance teams. Responsibilities include solution design, coding, testing, debugging, performance tuning, secure development, release management, production support, and improving scalability, reliability, and maintainability.