700万円以上のdata center operationsの転職・求人情報

求める人材: Roles & Responsibilities * Engage directly with customers to understand business challenges, technical requirements, and operational constraints * Translate customer requirements into solution designs, technical workflows, and implementation plans * Design, develop, and deploy production-grade applications using Python, JavaScript, or related technologies * Build and integrate LLM-powered applications, including conversational systems, automation workflows, and knowledge-based systems * Design and implement Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, embedding strategies, retrieval optimization, and response orchestration * Build and manage agent-based architectures, including task orchestration, tool integration, and execution flows * Design and maintain evaluation frameworks to measure model quality, retrieval effectiveness, and output reliability * Implement and manage MLOps/LLMOps pipelines covering deployment, monitoring, versioning, rollback, and lifecycle management * Develop and deploy applications in cloud environments such as AWS, Azure, or GCP * Collaborate with data engineers, architects, and technical leads to integrate AI workflows into enterprise systems * Identify technical risks and implementation bottlenecks, proposing mitigation strategies proactively * Balance rapid prototyping with production-readiness, ensuring quality, scalability, and maintainability * Support optimization of delivery workflows by leveraging AI tools to improve engineering productivity and operational efficiency Skills & Requirements Experience * Minimum 5 years of experience in software engineering, technical implementation, or related technical delivery roles * Proven experience driving projects with direct client engagement and stakeholder management * Experience working in fast-paced, ambiguous delivery environments with strong ownership and execution capability Application Engineering * Strong hands-on development experience using Python and/or JavaScript * Experience building production-grade backend services, APIs, and application workflows * Strong understanding of software engineering fundamentals including modular design, testing, and maintainability * Experience integrating frontend and backend components for end-to-end solution delivery Applied AI Engineering * Demonstrated experience building or implementing applications leveraging Large Language Models (LLMs) and Generative AI technologies * Practical experience designing and implementing Retrieval-Augmented Generation (RAG) workflows * Experience in agent design, orchestration logic, and tool-based execution patterns * Experience building evaluation frameworks for model validation, retrieval quality, and output consistency * Understanding of prompt engineering, model behavior optimization, and AI system reliability Cloud & Platform Engineering * Experience building and deploying systems in cloud environments (AWS, GCP, Azure) * Experience with containerized deployment and cloud-native architecture patterns * Understanding of deployment automation, CI/CD pipelines, and infrastructure provisioning * Familiarity with application scalability, resilience, and cloud cost optimization MLOps / LLMOps * Experience designing and operating MLOps and/or LLMOps pipelines * Understanding of model lifecycle management including deployment, versioning, monitoring, and rollback * Experience implementing observability for AI systems, including performance and quality monitoring Customer Delivery & Stakeholder Engagement * Strong ability to engage with customers to clarify requirements, align expectations, and drive delivery decisions * Ability to explain complex technical concepts to business and non-technical stakeholders * Experience balancing customer priorities with technical feasibility and delivery constraints Soft Skills * Strong problem-solving orientation with a customer-first mindset * Ability to balance hands-on coding with customer-facing engagement * Strong decision-making capability under ambiguity * Ability to maintain delivery speed without compromising quality * Strong ownership and accountability for delivery outcomes * Ability to remain composed and effective in high-pressure delivery environments Nice to Have * Experience implementing large-scale enterprise systems * Experience in data security, governance, and access control design * Experience working in startup or new business environments * Experience collaborating with global or distributed teams * Strong English communication skills * Experience with observability tools and operational monitoring for AI systems

求める人材: Roles & Responsibilities * Design and implement complex application features across frontend, backend, and AI workflow layers * Independently develop and maintain backend services and APIs using Python and FastAPI * Build frontend interfaces and interaction layers using React, Next.js/Remix, and Tailwind CSS * Implement real-time streaming workflows using Server-Sent Events (SSE) or similar technologies * Design and implement LLM-integrated applications, including business workflow automation and knowledge retrieval systems * Build and optimize Retrieval-Augmented Generation (RAG) pipelines, including advanced retrieval strategies, hybrid search, and re-ranking techniques * Develop and maintain evaluation loops to measure AI output quality, retrieval effectiveness, and guardrail compliance * Design and implement guardrails and control mechanisms to improve safety, reliability, and output consistency * Contribute to architecture decisions related to service decomposition, integration patterns, and scalability * Build and optimize data pipelines, data transformation workflows, and data quality validation mechanisms * Implement and optimize CI/CD pipelines, deployment automation, and infrastructure provisioning workflows * Ensure systems meet security requirements, including authentication, authorization, and access control enforcement * Implement observability standards including logging, monitoring, tracing, and alerting * Review code, mentor junior engineers, and enforce engineering quality standards * Translate business and product requirements into technical specifications and implementation plans * Troubleshoot complex issues across application, AI, and infrastructure layers Skills & Requirements Experience * 4 to 6 years of software development experience * Experience building production-grade software systems, including exposure to AI-enabled or data-driven systems * Proven ability to independently own features and contribute to architectural decisions Architecture & System Design * Strong understanding of microservices architecture patterns and service decomposition * Experience implementing Test Driven Development (TDD) and structured testing practices * Strong understanding of database design principles across SQL and NoSQL systems * Ability to design scalable, maintainable, and resilient application components Frontend Development * Strong experience in React development * Experience building responsive interfaces using Tailwind CSS * Familiarity with Next.js or Remix frameworks * Understanding of SSE (Server-Sent Events) for real-time communication and streaming interactions Backend Development * Strong hands-on experience with Python development * Strong expertise in FastAPI and modern API development practices * Strong understanding of REST API principles, service integration, and backend architecture * Experience building scalable backend workflows and asynchronous processing patterns AI / ML Engineering * Strong understanding of LLM integration patterns and AI application workflows * Hands-on experience implementing advanced RAG architectures * Experience with Hybrid Search and Re-ranking strategies for retrieval optimization * Experience designing and maintaining evaluation loops for model quality and response consistency * Experience implementing Guardrails for safe and reliable AI behavior Data Engineering * Experience in data exploration and profiling * Experience building and maintaining data pipelines * Understanding of data quality validation and data integrity practices * Familiarity with structured and semi-structured data handling patterns DevOps & Cloud Engineering * Strong working knowledge of Docker and Kubernetes * Experience implementing and maintaining CI/CD pipelines * Hands-on experience with Infrastructure-as-Code (Terraform) * Understanding of cloud-native deployment patterns and release management Security & Observability * Strong understanding of IAM, OAuth2, and secure API design * Familiarity with network policies and service security controls * Experience implementing monitoring and observability using Prometheus, Grafana, and OpenTelemetry Engineering Practices * Strong debugging and troubleshooting capability across application and AI layers * Strong understanding of testing strategies and engineering quality practices * Experience in collaborative development and version control workflows * Ability to document technical decisions, designs, and implementation patterns clearly Soft Skills * Strong ownership and accountability for delivery outcomes * Ability to communicate technical trade-offs and architecture decisions clearly * Strong collaboration and adaptability in cross-functional teams * Leadership capability in guiding junior engineers and supporting team delivery * Strong problem-solving mindset with structured scenario analysis * Ability to translate business requirements into technical implementation plans * Reliability mindset with focus on system stability and maintainability * Openness to feedback and continuous improvement Nice to Have * Experience with LLM orchestration frameworks such as LangChain or similar * Exposure to vector databases and semantic search systems * Experience working with cloud platforms (AWS, Azure, GCP) * Experience in AI-first product or platform engineering environments * Experience supporting enterprise-scale AI implementations * Trial period 3 months; salary and conditions unchanged during trial Working hours Fixed-hours system, 9:00–18:00, 60-min break, 8 working hours Holidays and leave Two full days off per week (Sat/Sun), public holidays, year-end/New Year, summer leave, 10 days annual paid leave after 6 months, condolence/celebration leave, maternity/childcare/nursing-care leave (with take-up record); [n] days off per year Salary Annual ¥6,000,000–¥12,000,000 paid in 12 instalments); set on experience and skills; no fixed overtime included, overtime paid separately in full Raise and bonus Raise once a year (April); bonus twice a year (June and December), subject to company results and individual evaluation Social insurance Full coverage: health insurance, employees' pension, employment insurance, workers' accident insurance; enrolled from date of hire in accordance with law Benefits Annual health check, certification support (exam and renewal fees), book allowance, external training and conference fees, company PC and monitor, GPU/cloud environment provided, casual dress Passive smoking Indoor smoking prohibited Reason for hiring Additional headcount to strengthen the AI product development team Selection process Document screening → first interview (online) → technical assignment or technical interview → final interview → offer; as fast as 2 weeks from application

求める人材: ドリームビジョン株式会社では、 スキルの完成度よりも 「これからどうなりたいか」を重視しています。 ■ 必須条件（MUST） 以下いずれかのご経験をお持ちの方 ・サーバー/クラウドの運用・保守経験 ・サーバー/クラウドの構築経験 ■ 歓迎条件（MORE） ・設計／構築フェーズへ ステップアップしたい方 ・クラウド（AWS／Azure等）に 興味がある方 ・自分のスキルを正当に評価されたい方 ・年収UPを着実に実現したい方 ・技術やキャリアを 相談できる環境を求めている方

求める人材: 【必須】 ・OracleDBエンジニアとして豊富な実務経験 ・ご自身でDBの構成管理、インストール、パッチ適用等が実施できること ・障害時の問題切り分けが実施できること 【尚可】 ・クラウド（OCI）の知識

求める人材: 【必須】 ・Linux/Windowsの構築・運用経験 ・Ciscoを用いたNW実務経験 ・障害切り分け、原因調査・対策の経験 ・作業手順書の作成経験 ・サーバ/NWを含むインフラ全般の知識・経験 ・積極的にコミュニケーションを取れる方 【尚可】 ・運用構築/運用改善の経験 ・業務改善提案の経験 ・ドキュメント整備の経験 ・Azureの経験または知見

求める人材: 【スキル】 ・SQL(Oracle)の使用経験 ・Linuxコマンドや環境整備経験 ・パッケージ製品の導入/保守作業経験者

求める人材: ＜スキル＞ ・Azureの実務経験 ・Windowsの知識も必要となる為、AD等の知識がある方

求める人材: 【必須】 ・セキュリティ製品(ApexOne、VisionOne、Proofpoint等)の運用経験 ・ファイアウォール(FortiGate)やロードバランサ(BIG-IP、LVS)の操作経験 ・VPN機器(FRPリモート等)の設定、運用経験 【尚可】 ・複数拠点にまたがるシステム構成管理経験 ・Proxy(InterSafe、A10)やメール監査(Wise Audit)の管理経験 ・ServiceNowによるSR/インシデント管理経験 ・障害対応のログ解析、原因調査の実務経験 ・改組時のユーザータスク整理や外部DNS設定の経験

求める人材: スキル： ・上流工程(要件定義、基本設計、詳細設計)のご経験 ・メンバーや顧客との円滑なコミュニケーションが図れる事・開発経験

求める人材: ・ServiceNowの導入または構築経験 (PoCの検討・製作) ・ServiceNowの機能・構成に関する知見 ・顧客の業務要件を整理し、ServiceNowの活用方法に落とし込んだ経験

求める人材: ・開発工程（基本設計〜単体テスト）を理解していること ・SaaS経験（メンテナンス系）がある方 ・JavaScriptを利用した開発経験があること ・プログラミングは修正程度（新規作成なし） ・ServiceNow関連業務の経験があると尚よし ・能動的に動ける方（指示待ちは不可） ・コミュニケーション能力に長けている方 ・多方面との調整を苦に感じない方

求める人材: ＜スキル＞ ・ActiveDirectoryの構築及び運用経験 ・ActiveDirectoryのアップグレード経験

求める人材: ・リーダーやリーダー補佐の経験 ・Shellなどでのスクリプト作成のご経験 ・LinuxベースOS上でのコマンドベースでの業務経験 ・データ連携/データ活用案件のご経験

求める人材: 【必須】 ・Cisco系機器の設定・運用経験（IOS/IOS-XE など） ・CCNA相当のネットワーク知識および実装スキル ・能動的に課題抽出・改善提案・実行までリードできる方 ・基本的なドキュメント作成能力（構成図、手順書、試験観点など） 【尚可】 ・企業ネットワークの設計・構築経験（L2/L3、セグメント設計、冗長化設計 など） ・ファイアウォール、ロードバランサ、無線LANコントローラ等の経験 ・要件定義～運用まで一連の工程を通したご経験

求める人材: 【必須】 ・システム基盤の運用設計経験 ・システム基盤の運用機能の設計・開発経験 【尚可】 ・Oracle Cloud Infrastructure（OCI） ・Windows Server 2025 ・SQL Server 2025 ・HULFT ・Senju Family ・MIDMOST

求める人材: 【スキル】 ・システム開発もしくは運用経験(2～3年) ・顧客とのコミュニケーションとることに問題ない方 ・会議ファシリテーション能力

求める人材: 【必須】 ・CrowdStrikeの検知アラート解析の実務経験 ・SIEM（Splunk、LogRhythm、Sumo Logic）を用いたログ収集・分析の知見・経験 ・SOC業務またはCSIRT等でのセキュリティインシデント対応経験 ・ネットワークおよびOS（Windows/Linux）に関する基礎的な知識 【尚可】 ・CrowdStrikeの各種ポリシー設定やルールチューニング経験 ・SOC/CSIRT立ち上げ、運用フロー設計・最適化の経験 ・各種セキュリティ資格（CISSP、CEH、CompTIA Security+等） ・顧客やベンダーとのコミュニケーション、調整・報告業務の経験

求める人材: ・Snowflakeの経験 ・dbt経験 ・データ利活用の案件経験（周辺システムから受領したデータの取り込み、ロード、加工、Board/Tableau向け接続口の実装など） ・基本設計〜テスト・リリースまで経験があること

求める人材: 【必須】 ・CICDパイプライン（GitHub Actions）構築経験（3年以上） ・CloudFormation または Serverless Framework の実務利用経験 ・AWSの実務利用経験（3年以上） 【尚可】 ・Datadogの知見

求める人材: ・AIX の設計、構築、運用実務経験 ・パッチ適用/バージョンアップ対応 の実務経験 ・変更手順書 の作成経験

求める人材: 【スキル】 PowerShellを用いた開発経験

求める人材: ・クラウドインフラエンジニア（OCI/AWS/Azure..etc) ・詳細設計 ・構築手順書作成 ・試験（実施、仕様書作成）

求める人材: 【スキル】 Tableau開発経験

求める人材: 【スキル】 ・SQLを使用したDB操作経験 ・VBAやシェルスクリプト等でのプログラム作成経験 ・Windows系サーバーでの作業経験