Top Software Engineer Jobs in Japan

Design, develop, and deploy secure software and data pipelines to transform patient data into real-world evidence. Build web apps and scalable automated pipelines, ensure data quality and tests, address security and privacy constraints, and occasionally deploy and operate solutions at hospital partner sites.

Lead technical and architectural direction for HERE Map and Services in Japan. Solve complex, ambiguous, cross-team problems, drive engineering excellence, design scalable systems, perform code and design reviews, and promote AI and modern tooling to improve productivity and quality.

Design, develop, and deploy secure software to transform patient data into real-world evidence. Lead architecture and data extraction/web application development, troubleshoot hospital deployments and complex network constraints, mentor engineers, and collaborate with clinicians, product, and data teams.

The Forward Deployed Software Engineer designs and implements data-driven solutions for clients, collaborating with diverse teams to tackle complex problems and drive impactful results.

Design, develop, and deploy secure software to transform patient data into real-world evidence. Lead architecture and data extraction/web application efforts, troubleshoot complex hospital infrastructure during on-site deployments, mentor engineers, and collaborate with clinicians, product, and data teams to deliver high-quality data products.

Design, develop, release, and maintain large-scale web and mobile applications for India. Collaborate with product and cross-functional teams, write frontend (React)/backend (Java/Ruby/Python) code, lead architecture and integration decisions, mentor engineers, manage production severity incidents, drive refactoring and best practices, and work with Security, IT Ops, and QA to ensure quality delivery.

Early-career backend engineer role in the Binance Accelerator Program. Contribute to product development and maintenance, write and maintain interface documentation, troubleshoot QA issues, and assist customer service with problem resolution and classification for system improvements.

Design and build backend microservices for real-time fraud detection, transaction monitoring, and risk analysis. Integrate ML models and risk scoring engines, support scalable distributed systems, and leverage AI-assisted development and LLM/agent tools for risk automation.

Improve developer experience and deployment processes by designing and building tools, libraries, and frameworks; optimize build/compile times; develop scalable deployment tools for automotive and cloud platforms; enhance software deployment and data collection frameworks; identify and resolve bottlenecks across the software stack.

Design, build, and maintain scalable, reliable Java-based backend systems through full software lifecycle. Work on distributed system design, databases (MySQL and NoSQL), messaging middleware, deployment automation, monitoring, performance optimization, and cross-team collaboration with comprehensive system documentation.

Early-career software engineer in a fixed-term accelerator: develop and maintain core products, compile and implement interface documentation, troubleshoot QA issues, and assist customer support to classify and resolve customer problems for system improvement.

Own quality strategy for multiple applications; design and implement scalable automation frameworks; lead end-to-end testing (functional, integration, performance, security); mentor junior testers; perform root-cause analysis and improve automation stability and test execution at scale.

The role involves developing the Guidance Navigation Control subsystem for a lunar lander, including algorithm design, testing, and integration with teams for operation preparation and troubleshooting.

Lead full-stack development for APAC-focused intelligent data pipelines and AI-powered features. Collaborate with engineers, product, and analysts to design, prototype, and ship production-ready systems using LLM SDKs, integrate proprietary data assets, and support custom client solutions.

The Software Engineer will be responsible for data collection to support model training, manage data ingestion pipelines, and collaborate with AI team members on data strategy.

The Software Engineer will enhance data collection methods for machine learning, manage cloud infrastructure, and collaborate with AI scientists to improve data quality and efficiency.

Collaborate with engineers to extend compiler/toolchain for high-performance ML model deployment on AI hardware. Requires significant software engineering experience and knowledge of ML.

The Senior Software Engineer will design and develop cloud-based Analytics applications, collaborating with domain experts to optimize supply chain operations using Java, JavaScript, and SQL.

Join the robotics team to develop and optimize navigation systems on wheeled platforms, collaborating across teams and maintaining systems using ROS and Docker.

As a Forward Deployed Engineer, you will own the execution of major projects, collaborating with customers to deliver tailored software solutions using Python.

Join Valeo as a VIE Software Engineer, supporting software project management and quality assurance in a dynamic, multicultural environment focused on automotive innovation.

Develop software for network functions, tune Linux kernels, create module specifications, and support product certifications while collaborating internally and externally.

Design, build, test, and operate production-ready services in small multidisciplinary teams. Embed with customers to translate requirements into deployed solutions, apply secure and responsible AI practices, participate in on-call incident response, and contribute reusable components and documentation to accelerate delivery.

Lead software development for customer-specific amplifier features including architecture design, coding, testing, and customer technical discussions. Mentor junior engineers.

Build end-to-end customer-facing and internal features for an AI neobank: web flows, backend APIs, admin tools, dashboards, integrations, and production reliability. Collaborate with product, design, mobile and operations teams, use analytics and feedback to iterate, and create tools to reduce manual work.