{"id":1199539,"url":"https://alion.io/job/eaglys-03-1full-stack-engineer","title":"03-1Full-stack Engineer","company":{"id":2167281,"name":"EAGLYS","domain":"eaglys.co.jp","url":"https://alion.io/company/eaglys","size_band":null,"is_staffing_agency":false,"is_intermediary":false,"listed_via":null,"ats_vendor":"HERP","truth_index":null},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["KR"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"AWS Fargate","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Hugging Face","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenSearch","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Qdrant","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Redis","optional":false},{"name":"Terraform","optional":false},{"name":"TFHE","optional":false},{"name":"Transformers","optional":false},{"name":"TypeScript","optional":false},{"name":"Vue.js","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-08-06T07:40:19Z","employer_posted_date":"2026-08-06","last_verified_at":"2026-09-25T00:13:14Z","board_verified":true,"closed_at":null,"days_open":49,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":49},"description":"秘密計算×AI優秀な仲間と協力しながら、共に高みを目指せるFull-stack Engineerを募集中\nDescription\n**\nEAGLYSについて**\n私たちは“あらゆるデータを安全に活用し、価値に変える”をミッションに2016年12月に設立。『データを安全に収集する』＆『データを価値に変えていく』事業を展開しています。\n私たちが提供している、データを暗号化したまま集積・分析・AI処理できる秘密計算プラットフォームは、「グループ企業内や企業間におけるセキュアなデータ利活用の実現に貢献しています。\n設立後、ご覧のような受賞歴やJR東日本・東芝・三井物産・SAPジャパンをはじめとするエンタープライズ企業との協業実績あり。\n- 東京都後援「東京ベンチャー企業選手権大会」にて優秀賞\n- Forbes JAPAN Rising Star Award\n- ICT SPRING EUROPE 2019優勝\n- Japan Venture Awards2020にて、中小企業庁長官賞\n- EY Innovative Startup 2020\n- GET IN THE RING世界大会の金融・規制産業部門 優勝\n従業員数は直近1年で25名増え、2年後には100名の企業を目指しています。\n**\nAbout EAGLYS**\nWe were founded in December 2016 with the mission to \"safely utilize all data and transform it into value.\" We operate businesses focused on 'safely collecting data' and 'transforming data into value.' contributing to secure data utilization within and between group companies and enterprises. Since our founding, we have earned the following awards and collaborated with enterprises including JR East, Toshiba, Mitsui & Co., and SAP Japan.\n- Tokyo Metropolitan Government Sponsored \"Tokyo Venture Company Championship Tournament\" Excellence Award\n- Forbes JAPAN Rising Star Award\n- ICT SPRING EUROPE 2019 Champion\n- Japan Venture Awards2020 Director-General's Award, Small and Medium Enterprise Agency\n- EY Innovative Startup 2020\n- GET IN THE RING World Championship（World Championships, Financial and Regulatory Industry Category） Champion\nThe number of employees has increased by 25 over the past year, and we aim to become a company with 100 employees within two years.\n---\n**\n具体的な業務内容**\n携わるプロジェクトにより技術スタックは変わりますが以下のような業務を想定しています。\n1. 開発中の秘密計算の自社プロダクトおよび受託プロジェクトにおけるWebサービス基盤の実装\n2. React/TypeScript フロントエンド開発、FastAPI/Python バックエンド開発\n3. PostgreSQL・Qdrant・OpenSearch を用いたデータモデリング／検索基盤構築\n4. OpenAI・Azure OpenAI エコシステムを活用した LLM/RAG システム設計・運用\n5. 準同型暗号ライブラリ（CKKS/TFHE 等）を用いたプライバシー保護 ML 推論パイプラインの実装\n6. Docker/Kubernetes によるマイクロサービス運用、GitHub Actions + Terraform による CI/CD\n7. メンバーコードレビュー、テスト自動化、パフォーマンスモニタリング\n**\nJob Description**\nThe technology stack varies depending on the project, but the following tasks are anticipated.\n1. Implementation of the web service infrastructure for our proprietary secret computation products under development and for commissioned projects\n2. Front-end development (React/TypeScript) / Back-end development (FastAPI/Python)\n3. Data modeling and search infrastructure development using PostgreSQL/Qdrant/OpenSearch\n4. Design and operation of LLM/RAG systems utilizing OpenAI and Azure OpenAI ecosystems\n5. Implementation of a privacy-preserving machine learning inference pipeline using homomorphic encryption libraries (CKKS/TFHE, etc.)\n6. Microservices operations using Docker/Kubernetes, CI/CD using GitHub Actions + Terraform\n7. Member code review, test automation, performance monitoring\n---\n**\nこのポジションの魅力**\n本ポジションの魅力は以下の通りです。（配属されるチームにより、プロダクト専任や案件ベースのプロジェクト専任になる場合もあります。）\n1. 秘密計算やLLMを用いたサービスなど 最先端領域の R&D と実サービス開発を一気通貫で担当\n2. 自社 SaaS（ALCHEMISTA, ALCHEMISTA Labs）とエンタープライズを対象としたプロジェクトベースの案件の両輪に携われる\n3. AWS・Kubernetes ベースのモダンなクラウドネイティブ環境、React + FastAPI のフルスタック構成 (プロジェクトに依存)\n4. 多国籍・クロスファンクショナルなチームで英語力／リーダーシップを培われる\n5. AIや暗号のスペシャリストと議論しながらサービスを実装できる\n**\nPosition Appeal**\nThe appeal of this position is as follows:\n（Roles may vary by team; you may work as a dedicated product developer or on a project-by-project basis.）\n1. End-to-end responsibility for R&D and actual service development in cutting-edge fields such as secret computation and LLM-based services\n2. Opportunity to work on both our proprietary SaaS products (ALCHEMISTA, ALCHEMISTA Labs) and project-based engagements targeting enterprises\n3. AWS and Kubernetes-based modern cloud-native environment, full-stack setup using React + FastAPI (depending on the project)\n4. Develop English skills and leadership in multinational, cross-functional teams\n5. Implement services in direct collaboration with AI and encryption specialists.\n---\n**\n技術スタック（EAGLYS 標準）**\n- フロントエンド\n- React / TypeScript / Vue.js\n- バックエンド\n- Python (FastAPI, Flask)\n- データベース\n- PostgreSQL / Qdrant / Redis\n- 検索・分析\n- OpenSearch\n- インフラ\n- AWS (EKS, ECS Fargate, Lambda, RDS, S3, CloudFront) / Azure / Kubernetes / Docker / Terraform\n- ML / AI\n- OpenAI / Azure OpenAI / Hugging Face / Transformers\n- CI/CD\n- GitHub Actions / Argo CD\n**\nTechnology Stack (EAGLYS Standard)**\n＜Category＞：＜Adopted Technology＞\n- Front-end\n- React / TypeScript / Vue.js\n- Back-end\n- Python (FastAPI, Flask)\n- Database\n- PostgreSQL / Qdrant / Redis\n- Search and Analysis\n- OpenSearch\n- Infrastructure\n- AWS (EKS, ECS Fargate, Lambda, RDS, S3, CloudFront) / Azure / Kubernetes / Docker / Terraform\n- ML / AI\n- OpenAI / Azure OpenAI / Hugging Face / Transformers\n- CI/CD\n- GitHub Actions / Argo CD\n---\n**\nその他**\n暗号のコア技術に関しては、OSSもしくは内製のライブラリを利用します。利用方法に関しては専門のエンジニアと連携し、開発を進めます。\n**\nOther**\nFor core encryption technologies, we utilize either OSS or in-house libraries. Regarding implementation methods, we collaborate with specialized engineers to advance development.\nRequirements\n**\nEAGLYSについて**\n私たちは“あらゆるデータを安全に活用し、価値に変える”をミッションに2016年12月に設立。『データを安全に収集する』＆『データを価値に変えていく』事業を展開しています。\n私たちが提供している、データを暗号化したまま集積・分析・AI処理できる秘密計算プラットフォームは、「グループ企業内や企業間におけるセキュアなデータ利活用の実現に貢献しています。\n設立後、ご覧のような受賞歴やJR東日本・東芝・三井物産・SAPジャパンをはじめとするエンタープライズ企業との協業実績あり。\n- 東京都後援「東京ベンチャー企業選手権大会」にて優秀賞\n- Forbes JAPAN Rising Star Award\n- ICT SPRING EUROPE 2019優勝\n- Japan Venture Awards2020にて、中小企業庁長官賞\n- EY Innovative Startup 2020\n- GET IN THE RING世界大会の金融・規制産業部門 優勝\n従業員数は直近1年で25名増え、2年後には100名の企業を目指しています。\n**\nAbout EAGLYS**\nWe were founded in December 2016 with the mission to \"safely utilize all data and transform it into value.\" We operate businesses focused on 'safely collecting data' and 'transforming data into value.' contributing to secure data utilization within and between group companies and enterprises. Since our founding, we have earned the following awards and collaborated with enterprises including JR East, Toshiba, Mitsui & Co., and SAP Japan.\n- Tokyo Metropolitan Government Sponsored \"Tokyo Venture Company Championship Tournament\" Excellence Award\n- Forbes JAPAN Rising Star Award\n- ICT SPRING EUROPE 2019 Champion\n- Japan Venture Awards2020 Director-General's Award, Small and Medium Enterprise Agency\n- EY Innovative Startup 2020\n- GET IN THE RING World Championship（World Championships, Financial and Regulatory Industry Category） Champion\nThe number of employees has increased by 25 over the past year, and we aim to become a company with 100 employees within two years.\n---\n**\n具体的な業務内容**\n携わるプロジェクトにより技術スタックは変わりますが以下のような業務を想定しています。\n1. 開発中の秘密計算の自社プロダクトおよび受託プロジェクトにおけるWebサービス基盤の実装\n2. React/TypeScript フロントエンド開発、FastAPI/Python バックエンド開発\n3. PostgreSQL・Qdrant・OpenSearch を用いたデータモデリング／検索基盤構築\n4. OpenAI・Azure OpenAI エコシステムを活用した LLM/RAG システム設計・運用\n5. 準同型暗号ライブラリ（CKKS/TFHE 等）を用いたプライバシー保護 ML 推論パイプラインの実装\n6. Docker/Kubernetes によるマイクロサービス運用、GitHub Actions + Terraform による CI/CD\n7. メンバーコードレビュー、テスト自動化、パフォーマンスモニタリング\n**\nJob Description**\nThe technology stack varies depending on the project, but the following tasks are anticipated.\n1. Implementation of the web service infrastructure for our proprietary secret computation products under development and for commissioned projects\n2. Front-end development (React/TypeScript) / Back-end development (FastAPI/Python)\n3. Data modeling and search infrastructure development using PostgreSQL/Qdrant/OpenSearch\n4. Design and operation of LLM/RAG systems utilizing OpenAI and Azure OpenAI ecosystems\n5. Implementation of a privacy-preserving machine learning inference pipeline using homomorphic encryption libraries (CKKS/TFHE, etc.)\n6. Microservices operations using Docker/Kubernetes, CI/CD using GitHub Actions + Terraform\n7. Member code review, test automation, performance monitoring\n---\n**\nこのポジションの魅力**\n本ポジションの魅力は以下の通りです。（配属されるチームにより、プロダクト専任や案件ベースのプロジェクト専任になる場合もあります。）\n1. 秘密計算やLLMを用いたサービスなど 最先端領域の R&D と実サービス開発を一気通貫で担当\n2. 自社 SaaS（ALCHEMISTA, ALCHEMISTA Labs）とエンタープライズを対象としたプロジェクトベースの案件の両輪に携われる\n3. AWS・Kubernetes ベースのモダンなクラウドネイティブ環境、React + FastAPI のフルスタック構成 (プロジェクトに依存)\n4. 多国籍・クロスファンクショナルなチームで英語力／リーダーシップを培われる\n5. AIや暗号のスペシャリストと議論しながらサービスを実装できる\n**\nPosition Appeal**\nThe appeal of this position is as follows:\n（Roles may vary by team; you may work as a dedicated product developer or on a project-by-project basis.）\n1. End-to-end responsibility for R&D and actual service development in cutting-edge fields such as secret computation and LLM-based services\n2. Opportunity to work on both our proprietary SaaS products (ALCHEMISTA, ALCHEMISTA Labs) and project-based engagements targeting enterprises\n3. AWS and Kubernetes-based modern cloud-native environment, full-stack setup using React + FastAPI (depending on the project)\n4. Develop English skills and leadership in multinational, cross-functional teams\n5. Implement services in direct collaboration with AI and encryption specialists.\n---\n**\n技術スタック（EAGLYS 標準）**\n- フロントエンド\n- React / TypeScript / Vue.js\n- バックエンド\n- Python (FastAPI, Flask)\n- データベース\n- PostgreSQL / Qdrant / Redis\n- 検索・分析\n- OpenSearch\n- インフラ\n- AWS (EKS, ECS Fargate, Lambda, RDS, S3, CloudFront) / Azure / Kubernetes / Docker / Terraform\n- ML / AI\n- OpenAI / Azure OpenAI / Hugging Face / Transformers\n- CI/CD\n- GitHub Actions / Argo CD\n**\nTechnology Stack (EAGLYS Standard)**\n＜Category＞：＜Adopted Technology＞\n- Front-end\n- React / TypeScript / Vue.js\n- Back-end\n- Python (FastAPI, Flask)\n- Database\n- PostgreSQL / Qdrant / Redis\n- Search and Analysis\n- OpenSearch\n- Infrastructure\n- AWS (EKS, ECS Fargate, Lambda, RDS, S3, CloudFront) / Azure / Kubernetes / Docker / Terraform\n- ML / AI\n- OpenAI / Azure OpenAI / Hugging Face / Transformers\n- CI/CD\n- GitHub Actions / Argo CD\n---\n**\nその他**\n暗号のコア技術に関しては、OSSもしくは内製のライブラリを利用します。利用方法に関しては専門のエンジニアと連携し、開発を進めます。\n**\nOther**\nFor core encryption technologies, we utilize either OSS or in-house libraries. Regarding implementation methods, we collaborate with specialized engineers to advance development.\nPreferred Experiences\n**\n歓迎スキル・経験**\n1. Kubernetes によるマイクロサービス設計・運用\n2. Vector DBの利用経験・全文検索エンジンの導入経験\n3. グラフデータベースの利用経験\n4. LLMのRAG構築経験\n5. 準同型暗号ライブラリの利用経験\n6. CI/CD構築経験\n**\nPreferred Qualifications**\n1. Microservices design and operations with Kubernetes\n2. Experience with Vector DBs / Experience implementing full-text search engines\n3. Experience with graph databases\n4. Experience building RAG for LLM\n5. Experience using homomorphic encryption libraries\n6. CI/CD implementation experience\nWe are looking for\n**\n求める人物像**\n1. セキュアコンピューティング・AI 技術で社会課題を解決したい志向をお持ちの方\n2. オーナーシップを持ち、プロダクト価値最大化に向けて自律的に行動できる方\n3. 異なる専門性を尊重し、オープンなコミュニケーションが取れる方\n4. クライアントと緻密かつ主体的にコミュニケーションが取れる方\n5. 学習意欲が高く、新技術を素早くキャッチアップし共有できる方\n**\nIdeal Candidate Profile**\n1. Someone with a desire to solve societal challenges using secure computing and AI technologies\n2. Someone who takes ownership and can act autonomously to maximize product value\n3. Someone who respects different areas of expertise and can communicate openly\n4. Someone who is able to communicate closely, precisely, and proactively with clients\n5. Someone with a strong desire to learn who can quickly grasp new technologies and share their knowledge\nWorking Conditions\nSalary\n想定年収：700～1100\n(能力と経験により応相談)\nEstimated annual salary: 700~1100\n(Negotiable depending on ability and experience)\nLocation\n雇入れ直後\n- 本社（東京都渋谷区千駄ケ谷５ー２７ー３ やまとビル６F＆７F）および\n- 労働者の自宅\n変更の範囲\n- 会社の定める場所（テレワークを行う場所を含む）\n※入社後は急用でオフィスに出勤していただくケースや、東京近郊のお取引先へ打ち合わせに行く状況も想定されます。\n※最終面接は基本的には対面を想定しておりますが、面接時にリモートエリアにお住いの場合にはオンラインで実施することも可能です（応相談）\nAfter being hired\n- Head office (Yamato Building, 5-27-3 Sendagaya, Shibuya-ku, Tokyo) and worker's home\nScope of change\n- Locations specified by the company (including places where telework is performed)\n※After joining us, you may be asked to come to our office for urgent business or to go to meetings with our business partners around Tokyo.\n※The final interview is basically held by face-to-face, but if the candidate lives in a remote area at the moment, we have the interview online. (negotiable)\nJob Type\n正社員 Full-time\nWork hours\n**\n勤務時間**\nフルフレックスタイム制（コアタイムなし※）\n※7：00～22：00内で就業 例：10：00...","description_format":"text","description_chars":14935,"description_truncated":true,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"Japanese","level":"Advanced (C1)","optional":false}]},"benefits":["Insurance coverage"],"hiring_locations":[{"name":"South Korea","iso":"KR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-24T20:05:42Z"}],"liveness":{"score":14,"band":"cold","label":"Long shot","p_open":1,"p_active":0.396,"p_room":0.35,"age_days":49,"expected_fill_days":23,"reasons":["conf:1","win:tail"],"computed_at":"2026-09-25T01:15:23Z"},"pay":null,"html_url":"https://alion.io/job/eaglys-03-1full-stack-engineer","json_url":"https://alion.io/job/eaglys-03-1full-stack-engineer.json","meta":{"generated_at":"2026-09-25T01:15:23Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1224,"day_limit":5000,"remaining_today":3776,"minute_limit":60,"resets_at":"2026-09-26T00:00:00Z"}}}