システム開発（組み込み・ファームウェア・制御系）/東京23区の転職求人一覧

■About our ClientA global leader in technology and cloud computing, pioneering the AI revolution. Our client provides an advanced AI portfolio, including frontier models and robust platforms, to solve complex business challenges worldwide.■Role OverviewAs a Generative AI Forward Deployed Engineer (FDE), you will bridge the gap between frontier AI products and production-grade reality within customer environments. You will architect, code, and debug bespoke agentic solutions, while providing critical feedback to the future product roadmap.■Main tasks include:・Developing production-grade agentic workflows from rapid prototypes.・Architecting connections between AI products and live customer infrastructure.・Building high-performance evaluation and observability frameworks.・Converting field insights into reusable modules or feature requests.・Collaborating with customer engineering teams to instill best practices.・Solving complex integration, data

■ご紹介する企業について世界中のあらゆる組織のデジタルトランスフォーメーションを支援する、グローバルIT企業です。Cloud Platform を通じて、革新的なテクノロジーとエンタープライズクラスのソリューションを提供し、お客様の成長とビジネス課題の解決をサポートしています。■ポジション概要Cloudの生成AI製品と顧客インフラを繋ぐ開発者として、プロトタイプの実装から本番環境への統合、評価パイプラインの構築、製品フィードバックまでを一貫して担当するポジションです。■業務内容・生成AIを用いたワークフローの開発・顧客インフラとAI製品の連携実装・AI精度の評価・監視基盤の構築・現場の課題を製品開発へ還元・顧客への開発手法の共有と支援・データ連携や状態管理の課題解決#LI-Hybrid#LI-KN

■About our ClientA global leader in technology and cloud computing, pioneering the AI revolution. Our client provides an advanced AI portfolio, including frontier models and robust platforms, to solve complex business challenges worldwide.■Role OverviewAs an embedded builder, you will bridge the gap between frontier AI products and production-grade reality for enterprise customers. This role involves architecting, coding, and deploying AI systems while providing direct feedback to the Cloud product roadmap.■Main tasks include:・Developing production-grade agentic workflows and multi-agent systems.・Architecting connections between AI products and live infrastructure.・Building evaluation pipelines and observability frameworks.・Converting field insights into reusable modules or feature requests.・Collaborating with customer engineering teams to share best practices.・Managing technical blockers to bring AI systems to maturity.#LI-Hybrid#LI-KN

■About our ClientA global leader in technology and cloud computing, pioneering the AI revolution. Our client provides an advanced AI portfolio, including frontier models and robust platforms, to solve complex business challenges worldwide.■Role OverviewAs an embedded builder, you will bridge the gap between frontier AI products and production-grade reality for enterprise customers. This role involves architecting, coding, and deploying AI systems while providing direct feedback to the Cloud product roadmap.■Main tasks include:・Developing production-grade agentic workflows and multi-agent systems.・Architecting connections between AI products and live infrastructure.・Building evaluation pipelines and observability frameworks.・Converting field insights into reusable modules or feature requests.・Collaborating with customer engineering teams to share best practices.・Managing technical blockers to bring AI systems to maturity.#LI-Hybrid#LI-KN

・Management and development of the AI division・Implementation of system modernization utilizing AI, and redesign of legacy systems (transition to modular architecture)・Architecture design, prototyping, implementation, and coordination/collaboration with business units, IT departments, and external vendors etc.,

Join a dynamic team of database specialists and software engineers responsible for architecting, automating, managing, and running databases across private and public cloud platforms. This role is crucial for maintaining high availability, ensuring security, and optimizing performance for enterprise-level database systems.Main tasks include:■ Manage production and staging environment databases.■ Identify and implement performance improvements for query operations.■ Collaborate with product teams to enhance the data warehouse.■ Design, implement, and monitor disaster recovery plans with engineering and DBA teams.■ Conduct technical troubleshooting and bug fixing.■ Maintain and operate existing systems for stable performance.■ Operate, monitor, and performance tune NoSQL databases (e.g., MongoDB, Redis, Elasticsearch).

■ Manage a cluster on EKS■ Develop and maintain observability through dashboards, metrics, logs, and alerts.■ Oversee the management of a monorepo and enforce best practices in automated development.■ Proactively enhance the reliability of the CI/CD system through optimizations and configurations.■ Collaborate with the SRE team to establish organizational standards and best practices.■ Handle operational tasks and create comprehensive runbooks.

■ Work with the team to set SLIs and SLOs■ Manage observability in the form of dashboards, metrics, logs, alerts, etc.■ Take part in an on-call rotation to handle incidents■ Work with the development team to proactively increase reliability of the team owned services through best practices, optimizations, and other reliability configurations■ Set standards and best practices across the organization■ Handle operations and create runbooks for operations

Job Description: 【職務概要】Cloud&ITアウトソーシング部において、お客様のオンプレミス環境のネットワーク安定運用を主軸としながら、必要に応じて追加構築や改善も担当していただきます。運用のモダナイズ、自動化、最適化、トラブルシューティング、改善提案を行い、顧客満足度向上に貢献していただきます。【主な業務内容】•オンプレミス環境のネットワーク監視・運用保守•インシデント管理と問題解決（障害対応、原因分析、再発防止策の実施）•キャパシティ管理とパフォーマンス最適化•バックアップ/リストア、セキュリティパッチ適用等の定常運用•構成管理・変更管理の実施•運用手順書の作成・維持管理•運用効率化のための自動化推進•小〜中規模の環境追加構築・改善業務•運用改善提案の立案と実装

◆Role OverviewThis role is focused on building AI-powered tools that support sales enablement. As a Software Engineer, you will work on designing and developing product features that leverage AI technologies to improve how sales teams operate and create value for users. This is a high-impact position for engineers who are excited to work at the intersection of product development and applied AI.◆TechnologiesCore Stack: • AI/LLM: OpenAI SDK, prompt engineering & optimization • Backend: Node.js, TypeScript, Effect (functional TypeScript) • Cloud: AWS (Lambda, DynamoDB, SQS, SNS, SES, CDK) • Integrations: Google APIs (Gmail, Calendar), Microsoft Graph API, Zoom API • Testing: Vitest • CI/CD: GitHub Actions, pnpm*The above technologies reflect our current stack. The team has the autonomy to make technology choices that best serve our AI-native product goals. You will be involved from the architecture and technology selection stage.◆Key Res