Top Tech Jobs & Startup Jobs

Leads data analysis initiatives, reporting, dashboard and KPI development, data modeling, and analysis of large datasets. Translates business requirements into analytical solutions, partners with business and technical stakeholders, ensures data quality and governance, and mentors junior analysts to support data-driven decision-making.

Lead the design, development, and optimization of scalable GCP data pipelines, ETL/ELT workflows, BigQuery warehouses, and streaming solutions. Migrate on-premise systems to GCP, ensure data quality, security, governance, and reliability, and troubleshoot large-scale data platforms. Collaborate with technical and business stakeholders, establish data engineering best practices, and mentor junior engineers while guiding complex projects and recommending platform improvements.

Leads the end-to-end testing lifecycle for a global SAP S/4HANA rollout, including strategy, planning, execution, automation, defect management, risk mitigation, and quality assurance. Coordinates multinational teams and stakeholders across business and technical functions, manages testing resources and schedules, and communicates progress in Japanese and English. Oversees functional, integration, regression, UAT, performance, and non-functional testing while mentoring global testers.

Owns technical execution and engineering delivery for complex software and AI-enabled solutions. Leads system design, architecture, coding standards, testing, CI/CD, observability, incident resolution, and production readiness. Mentors software engineers, guides implementation, manages technical risks, and collaborates with Forward Deployed Engineers and Technical Program Managers on customer implementations, dependencies, estimates, and delivery sequencing. Requires strong backend, cloud, distributed systems, data, security, and applied AI expertise.

Design, build, and deploy production-grade AI applications in collaboration with customers. Translate business requirements into technical solutions, develop LLM, RAG, and agent-based workflows, and manage evaluation, MLOps, LLMOps, monitoring, and lifecycle processes. Deploy scalable cloud-native systems, integrate enterprise workflows, identify delivery risks, and balance rapid prototyping with maintainability. The role combines hands-on software engineering, applied AI implementation, stakeholder engagement, and customer delivery in ambiguous environments.

Designs scalable software architectures for ADAS ECUs, including AUTOSAR Classic and Adaptive platforms, SoC/MPU resource optimization, safety and cybersecurity integration, customer requirement translation, and HW-SW interfaces. The role supports ASPICE compliance, CI/CD build and test environments, feasibility studies, technical risk assessments, and full lifecycle delivery of production-ready automotive systems. Advanced business-level Japanese and English are required.

Develop and deploy deep learning models for ADAS perception and sensor fusion using camera, LiDAR, and radar data. Responsibilities include model training, optimization, edge deployment, performance tuning, testing, validation, and edge-case analysis. Collaborate with systems, embedded software, validation, safety, and security teams to deliver production-ready autonomous driving solutions.

Entry-level graduate opportunity for candidates from business or non-technical backgrounds. The role involves collaborating with stakeholders in a multicultural professional environment and contributing to business initiatives. Strong communication, adaptability, interpersonal skills, enthusiasm, and willingness to learn are required. Academic excellence, event organization, international experience, hackathons, competitive activities, and native Cantonese are advantageous.

Lead go-to-market planning and end-to-end product launches within a financial institution. Develop business readiness plans, coordinate business and technology teams, prepare frontline staff through training and communications, run pilots, manage launch decisions, drive customer activation, and track adoption and post-launch benefits. Ensure governance and regulatory compliance while managing multiple transformation initiatives across digital and service channels.

Lead Java Fullstack Developers will design scalable microservices, system integrations, database schemas, responsive frontends, and secure backend APIs. They will use Java, Spring Boot, Angular or React, relational or NoSQL databases, Docker, cloud platforms, and CI/CD pipelines. Responsibilities include testing, code reviews, coding standards, mentoring junior developers, and collaboration within Agile/Scrum cross-functional teams on an insurance project in Tokyo.