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Engineering Manager, Document Platform Department, Email Aggregation Group, PPD, Tokyo

マネーフォワードJapanエンジニアリングマネージャー
AWSConsulDatadogDockerDynamoDBEKSGCPGitHubGitHub ActionsGoJavaJenkinsKafkaKubernetesMySQLRDSRedisRubyS3SQSTerraform

業務内容

  • Build and develop a high-performing engineering team; improve delivery quality and productivity through clear goals, processes, and collaboration.
  • Own people management: coaching, career development, performance reviews, and hiring within a global, diverse organization.
  • Take accountability for delivery across projects in collaboration with Product Managers, Tech Leads, and stakeholders; ensure predictable, sustainable delivery.
  • Guide Agile execution at the team level: planning, prioritization, and progress tracking to support steady delivery.
  • Act as a key communication bridge between engineering, product, and business to align priorities, manage expectations, and maintain transparency.
  • Drive engineering excellence by partnering with Tech Leads and senior engineers on technical direction, design reviews, and engineering practices; support implementation where valuable.
  • Monitor team health, delivery metrics, and risks using tools like Jira; drive continuous improvement.

技術スタック

必須スキル

  • 5+ years of professional software engineering experience with depth to guide design discussions
  • Experience managing engineers (3+), including coaching, performance evaluation, and hiring
  • Agile leadership with accountability for delivery outcomes and team health
  • Cross-functional collaboration with Product, Design, and business teams
  • Experience with globally distributed teams and English communication
  • Strong backend systems understanding; hands-on coding in past roles
  • Ownership mindset; ability to prioritize and drive progress

歓迎スキル(該当する場合)

  • Tech Lead/Engineering Manager in an organization of 10+ engineers; scaling teams and processes
  • Cloud-based microservices design, development, or operations in production
  • Modern platform/backend architectures (distributed or event-driven)
  • Long lifecycle improvements: modernization, refactoring, or stability initiatives
  • Leadership in code reviews and engineering quality without micromanagement
  • Talent development and tackling organizational challenges
  • Exposure to AI-assisted development tools and interest in applying them
  • Experience in multi-national, cross-timezone teams
  • Speaking at tech talks or contributing to engineering communities

キャリア成長観点

  • Leadership and people development at scale: coaching, hiring, performance management in a global context.
  • Technical leadership on shared platform services; influence architecture, reliability, and engineering practices.
  • Delivery leadership with cross-functional alignment and metrics-driven improvement; broader impact beyond a single product.
  • Global exposure and AI tooling adoption to boost productivity; opportunities to engage with internal/external tech communities.

データ取得日: 2026/9/10

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