2 results for Backend in Tokyo, Tōkyō
SRE Engineer
- Tokyo,
- remote
- Permanent
-
10.0M - 12.0M JPY / Yearly
- <p><strong>Company Profile</strong><br /> <br /> A Tokyo-based technology company operating within the digital content and platform industry is expanding its engineering organization to support continued user and revenue growth. The company develops and operates a subscription-based community platform that connects users with creators and enables interactive, real-time engagement at scale. With steady expansion in both domestic and overseas markets, their focus is on building a modern, high-availability infrastructure that can meet growing traffic demands. The engineering team values thoughtful design, pragmatic automation, and a culture of reliability-driven ownership.<br /> <br /> <br /> <br /> <strong>The Role</strong><br /> <br /> We are seeking a Senior Site Reliability Engineer (SRE) who will play a key role in ensuring the platform's reliability, scalability, and performance. This position goes beyond operating systems-it's for an engineer who thinks about end-to-end stability, anticipates potential failure points, and designs resilient infrastructure. You'll work closely with development, product, and operations teams to enhance observability, automate deployments, and implement improvements that sustain growth at scale.<br /> <br /> <br /> <br /> <strong>Key Responsibilities</strong><br /> </p><ul><li>Design, implement, and operate multi-cloud infrastructure with GCP (primary) and AWS (secondary).</li><li>Develop infrastructure-as-code solutions using Terraform and CI/CD pipelines with CircleCI.</li><li>Enhance observability and monitoring with Datadog, driving proactive issue identification.</li><li>Partner with developers to improve backend performance, fault tolerance, and deployment reliability.</li><li>Manage containerized systems (Docker; Kubernetes experience a strong plus).</li><li>Participate in on-call, incident response, and post-incident optimization to strengthen reliability.</li><li>Maintain detailed documentation and drive continuous improvement in operational processes.</li><li>Mentor engineers and promote best practices in infrastructure automation and service ownership.</li></ul><p><br /> <br /> <strong>Your Skills </strong><br /> </p><ul><li>Solid experience in SRE, infrastructure, or DevOps roles with production system ownership.</li><li>Hands-on experience with GCP, Terraform, and modern observability tooling (Datadog, PagerDuty, etc.).</li><li>Strong coding ability in Python, Go, or TypeScript, including practical automation experience.</li><li>Deep understanding of system reliability, failure recovery, and risk-aware deployment design.</li><li>Familiarity with Linux administration, networking, and CI/CD workflows.</li><li>Strong communication and stakeholder management skills.</li><li>Business-level English; Japanese is not mandatory; willingness to learn for collaboration.</li></ul><p><strong> <br /> Preferred Qualifications<br /></strong><br /> </p><ul><li>Experience building or operating large-scale web or mobile platforms.</li><li>Knowledge of container orchestration (Kubernetes, Docker).</li><li>Performance tuning experience with MySQL or similar databases.</li><li>Understanding of distributed architecture and scalable system design.</li><li>Proven mentorship or cross-functional collaboration experience.</li></ul><p><br /> <br /> <strong>Key Highlights of the Role </strong><br /> </p><ul><li>Direct impact on the reliability and scalability of a high-traffic digital platform.</li><li>Work within the digital entertainment and content platform space supporting real-time engagement.</li><li>Exposure to multi-cloud infrastructure with modern DevOps tooling (GCP / AWS / Terraform / Datadog).</li><li>Hybrid work setup (2 days per week in the Tokyo office; Wednesday required).</li><li>Discretionary working hours (typical schedule 11:00-20:00).</li><li>Minimal on-call responsibilities; focus on proactive reliability engineering.</li><li>Competitive salary range ¥7M-¥12M, based on experience and contribution.</li><li>Supportive, collaborative, and technically mature team environment.</li></ul><p><br /> <br /> <strong>Location </strong><br /> <br /> Tokyo<br /> <br /> <br /> <br /> <strong>Salary</strong><br /> <br /> 10 - 12 million yen<br /> <br /> <br /> <br /> Reference Number: 06940-0013394544<br /> <br /> <br /> <br /> <br /> <br /> <em>By clicking 'apply', you are deemed to have agreed to Robert Half Japan Privacy Notice (</em><a href="https://www.roberthalf.com/jp/en/privacy"><em>https://www.roberthalf.com/jp/en/privacy</em></a><em>). Please ensure that your application documents do not include sensitive personal data such as race, beliefs, medical history, criminal record, or other information irrelevant to hiring process such as spouse or dependents. All information must be accurate and truthful, and any included hyperlinks must be safe and secure.</em><br /> </p><img src="https://counter.adcourier.com/c3VlLnRpbmcuMDQ2NDkuMTA4OThAcmhpanAuYXBsaXRyYWsuY29t.gif">
- 2026-07-01T02:16:24Z
Bilingual Machine Learning Engineer
- Tokyo,
- remote
- Permanent
-
7.0M - 13.0M JPY / Yearly
- <p style="display: inline !important;"><strong>Company Profile</strong></p><p>A pioneer in Japan's Expert Network Services (ENS) industry, providing highly accurate knowledge matching across regions and language barriers for consulting firms and financial institutions, is looking for a Machine Learning Engineer to join its Tokyo office.</p><p> </p><p><strong>The Role</strong></p><ul><li>Lead the design and implementation of autonomous AI agents using predictive and generative models, working closely with English-speaking engineering teams based in the US and Europe.</li><li>Drive Japanese NLP and accuracy evaluation efforts - from preprocessing and chunking strategies to building systems that evaluate the accuracy of Japanese data.</li><li>Select and evaluate LLMs across multiple providers (OpenAI, Anthropic, Google, etc.), balancing cost optimization with system robustness.</li><li>Build CI/CD pipelines and institutionalize best practices around model training, monitoring, and version control (MLOps).</li><li>Optimize inference performance and scalability of machine learning models, and fine-tune LLMs for domain-specific use cases.</li><li>Join around 2-3 early-morning or evening online meetings per week to coordinate with overseas teams.</li></ul><p> </p><p><strong>Your Skills </strong></p><ul><li>At least 3 years of practical ML and backend development experience, with the ability to independently understand and develop large-scale Python codebases.</li><li>Core hands-on experience in at least one of: LLM orchestration (structured outputs, tool use, agent workflows), ML pipelines with tabular data (feature engineering, ranking models/LTR, model evaluation), or modern DevOps/MLOps environments (Docker, pytest, CI/CD).</li><li>Bachelor's or master's degree in computer science, data science, mathematics, statistics, or equivalent experience.</li><li>Business-level English proficiency is required; everyday-conversation-level Japanese is a plus.</li><li>Public cloud development experience and experience growing a service in collaboration with non-engineers are advantageous.</li></ul><p> </p><p><strong>Key Highlights of the Role </strong></p><ul><li>Directly shape the AI-driven transformation of a company's core "search and matching" business, backed by an 800,000-person expert network and billions of yen in revenue.</li><li>Own projects end-to-end, from problem definition and spec development through release and iteration, in an environment where your ideas carry real weight.</li><li>Build your career with an international outlook, collaborating across multi-site development hubs in Tokyo, the US, and the EU - with the option to work from the New York office.</li><li>Work with a modern AI/ML stack (Azure OpenAI, LangChain, LangGraph, Transformers) on high-impact, production-facing generative AI features.</li></ul><p> </p><p><strong>Location </strong></p><p>Tokyo</p><p><strong> </strong></p><p><strong>Salary</strong></p><p>7 - 13 million yen</p><p><strong> </strong></p><p>Reference Number: 06940-0013481561</p><p> </p><p> </p><p> </p><p><em>By clicking 'apply', you are deemed to have agreed to Robert Half Japan Privacy Notice (</em><a href="https://www.roberthalf.com/jp/en/privacy"><em>https://www.roberthalf.com/jp/en/privacy</em></a><em>). Please ensure that your application documents do not include sensitive personal data such as race, beliefs, medical history, criminal record, or other information irrelevant to hiring process such as spouse or dependents. All information must be accurate and truthful, and any included hyperlinks must be safe and secure.</em></p><p><em> </em></p><img src="https://counter.adcourier.com/U21haWwuU2FmaS4xMDY3NC4xMDg5OEByaGlqcC5hcGxpdHJhay5jb20.gif">
- 2026-08-03T06:57:38Z