Top Software Engineer Jobs in Yokohama

Develop and maintain automated tests for frontend applications, backend services, REST APIs, and GraphQL APIs. Execute functional, regression, integration, and end-to-end testing; validate APIs with Postman; document defects in Jira; and collaborate with development, product, and QA teams. The role also supports test data, environments, CI/CD quality checks, code reviews, test planning, and continuous improvement of quality processes.

Design and lead development of high-performance O-RAN and 5G/6G software for an AI-RAN accelerator. Responsibilities include L1/L2 processing, real-time wireless pipelines, SDR and RF hardware integration, AI/ML applications, system testing, troubleshooting, documentation, and technical collaboration with operators and partners.

Lead backend design and development for a mobile-first strategy-building fintech: build scalable Python/FastAPI services, real-time APIs/WebSockets, integrate market data providers, optimize performance across large datasets and simulations, contribute front-end React/TypeScript work, maintain containerized deployments and CI/CD pipelines, and document and collaborate in an async-first team.

Participate in full-stack development and maintenance of Binance’s KYC system, including backend services, frontend features, documentation, testing, regression, troubleshooting, and customer issue resolution. The role is a 3–6 month accelerator internship for current university students and recent graduates, with an emphasis on Java, Spring Boot, databases, middleware, and frontend technologies.

Build and optimize distributed Lance dataset operations, high-performance indices, table formats, and data encodings in Rust. Develop integrations with Spark, Hive Metastore, Presto, Trino, Ray, and other data infrastructure systems. Improve internal data processing infrastructure, contribute to open-source communities, and promote Lance through technical conferences. The role requires deep distributed systems expertise and extensive experience with high-performance databases, big data, or AI training systems.

Design and build the on-prem software stack for ModelVault appliances: containerized inference engines, model integration (LLMs/vision), deployment tooling, CLIs/GUI/APIs, OS and GPU setup, remote updates, telemetry, and collaborate with customers and founding team to iterate and scale the engineering org.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

Develop and maintain full-stack applications using React.js, Node.js, Java, AWS, MySQL, and DynamoDB. Build responsive frontend components, secure RESTful APIs, cloud-native services, and CI/CD deployments. Participate in Agile ceremonies, code reviews, troubleshooting, documentation, testing, and collaboration with product, design, QA, and DevOps teams. Use AI-assisted development tools for coding, testing, debugging, refactoring, and documentation.

Participate in developing and maintaining core products, documenting business interfaces, troubleshooting issues identified by QA, and supporting customer-service teams with problem resolution and system improvements. The role requires Java development, Spring microservices, database and middleware knowledge, strong communication, teamwork, and learning ability. Experience with Web3 projects is preferred.

Design and build interfaces for HUD’s AI agent training, evaluation, and marketplace products. Translate complex reinforcement learning workflows, agent runs, evaluation results, reward signals, and quality feedback into clear, actionable experiences. Collaborate with users, researchers, and engineers to ship polished products, conduct user discovery, improve usability, and develop reusable interaction patterns.

Design, build, and optimize scalable LINE messaging services, LIFF applications, and LINE MINI Apps on AWS. Develop product features and internal tools, integrate with an advertising platform, translate business needs into technical solutions, and improve ecosystem performance. The role requires collaboration across Japan and the United States, strong software engineering fundamentals, and business-level Japanese and English communication.

Build and scale Base360.ai’s short-term rental platform, including customer-facing applications, APIs, automation engines, AI-powered workflows, third-party integrations, and cloud infrastructure. Develop systems for reservations, pricing, payments, guest communication, property operations, reporting, and financial workflows. Own projects end to end, make architectural decisions, ensure reliability, and deliver scalable products in a remote-first startup environment.

Lead the design, development, testing, and implementation of embedded software for automotive radar ECUs. Manage software project scope, timelines, resources, development planning, configuration management, risk mitigation, and stakeholder communication. Collaborate with hardware, systems, and validation teams while ensuring compliance with automotive standards. Mentor team members and provide technical leadership across software development projects.

Develop, optimize, and deploy AI applications on customer silicon; provide technical training and support; reproduce and resolve pre- and post-silicon software issues; build benchmarks and proofs-of-concept; collaborate with R&D for fixes and performance tuning; create documentation and customer-facing collateral.

Design, build, and maintain scalable, high-availability brokerage systems for Japan. Develop backend microservices, APIs, financial integrations, and middle- and back-office systems supporting multi-currency transactions, accounting, settlement, and Japan-specific regulations. Collaborate with global engineering teams and Japanese regulators, vendors, and partners; translate requirements into technical solutions. Participate in incident response, on-call rotations, architecture, mentoring, recruitment initiatives, and regional engineering projects.

Own HUD’s production infrastructure and backend platform systems, focusing on reliability, scalability, performance, cost, deployment safety, and developer experience. Build AWS infrastructure with Terraform and Kubernetes, improve CI/CD and observability, design resilient services and asynchronous systems, manage incidents, and develop internal automation and tooling. The role supports high-availability AI, marketplace, and data-heavy workloads.

Lead backend architecture and build scalable, high-concurrency services and APIs (Node.js) powering web and mobile. Own components end-to-end, manage CI/CD and infrastructure (IaC, containers, cloud), improve reliability, and collaborate with PM/design to deliver core features like live interactions and checkout.

Build and operate scalable data pipelines for autonomous-driving machine learning workflows. Responsibilities include ingesting, transforming, curating, validating, and monitoring large real-world and synthetic datasets; improving pipeline performance and reliability; supporting scenario mining and model evaluation; and collaborating with ML engineers, Data Corpus teams, AI Platform, and external partners.

Design and implement open source networking solutions, collaborate with cloud providers, and contribute to technical documentation and community efforts.

As a C# Software Engineer, you'll design and implement classes for document IDE, refactor code for extensibility, and interview users to understand needs.

Design, develop, and maintain cloud-based analytics applications for life sciences supply chain operations. Build scalable backend services, provide architectural guidance, write high-performance code, and collaborate with data scientists, architects, product teams, and QA. Contribute to product strategy, estimate and track complex initiatives, support Agile development, and participate throughout the software development lifecycle.

Installs, upgrades, and provides technical support for KD/ACE enterprise software products. Manages beta deployments and customer product adoption projects, supports headquarters and business units, and develops customized Python scripts. Requires Oracle and PL/SQL, Linux administration, shell scripting, programming in C, C++, Python, or Perl, enterprise application maintenance, software documentation, problem-solving, and business-level Japanese and English.

Build and maintain hardened Ubuntu-based container images and the automated CI/CD pipelines to build, test, scan, sign, publish, and retire them. Integrate upstream open-source projects, ensure security and cloud-native compatibility, collaborate with cross-functional teams, document and share knowledge, mentor colleagues, and contribute to hiring. Work in a distributed agile environment with occasional travel.

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.

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