GAIDOOR RECRUIT

• Support teams in designing and reviewing AI and cloud-based solution architectures • Design scalable, secure, maintainable, and cost-effective systems aligned with business requirements • Define and review non-functional requirements including performance, reliability, security, observability, and cost optimization • Provide technical guidance on system architecture, integration patterns, cloud services, and deployment strategies • Guide engineering teams in utilizing cloud platforms such as AWS, GCP, and Azure • Support infrastructure design, deployment strategies, and production readiness activities • Promote infrastructure best practices including automation, consistency, maintainability, and operational excellence • Design and improve CI/CD pipelines and deployment processes • Support the design, deployment, and maintenance of AI-powered solutions • Act as a technical advisor across multiple teams and projects.

• Support large-scale data analysis • Evaluate product and program performance • Enable data-driven decision-making across the organization • Work closely with Product, Engineering, and Business teams to deliver actionable insights • Contribute to the development of reliable internal data infrastructure • Analyze user behavior and engagement trends • Design metrics and analytical frameworks to evaluate feature performance • Develop and deploy models for prediction and segmentation • Build feature pipelines and implement model monitoring • Establish consistent metric definitions and reporting standards • Promote best practices in data governance and reproducible analytics

• Design, build, and operate data pipelines that enable reliable ingestion, transformation, and delivery of structured and semi-structured data • Ensure pipeline efficiency, observability, and maintainability, including proper error handling and monitoring • Develop scalable ETL/ELT workflows to support analytics and product use cases • Integrate data from multiple systems to create consistent, well-structured, and well-documented datasets • Collaborate with data scientists and analysts to provide datasets optimized for analysis, modeling, and dashboarding • Contribute to initiatives that improve data consistency, accessibility, and analytical efficiency.

• プロダクトの方向性とビジョンを定義・共有する • プロダクトロードマップを作成し、伝達する • リサーチ・分析を通じて仮説検証を行い、顧客ニーズを特定する • 市場調査・競合分析・使用分析を実施し、改善案を提案する • プロダクトバックログを管理し、ユーザーストーリーを作成・受入基準を定義する • ステークホルダーおよび開発チーム間のコミュニケーションを促進する • スプリント計画に参加し、要件を伝達する • スプリントレビューに参加し、増分を評価・フィードバックする • プロジェクト全体の運営を管理し、リリーススケジュールを計画・実行する