SRE/Infrastructure Engineer, ML Platform, Tokyo

業務内容

• Own the SRE/infrastructure for Money Forward’s Digital Bank and fintech domain; ensure reliability of serving interfaces and production model endpoints under high traffic.
• Build and operate infrastructure as code (Terraform); design AWS-based architecture (ECS Fargate, API Gateway, VPC, IAM) behind serving interfaces and data pipelines.
• Implement financial-grade security and private connectivity (mTLS, AWS PrivateLink, VPC Peering); expand security monitoring and controls.
• Improve observability and on-call readiness: define SLOs/SLAs, establish on-call rotation, implement incident response processes (CloudWatch, etc.).
• Design/support the data platform/MLOps interface (Databricks integration) and provide infra support for ML development/deployment; collaborate with group teams to scale Digital Bank infra.
• Collaborate with the group to align with cross-group ML/Ops standards and platform foundations.

技術スタック

必須スキル

• AWS (ECS Fargate, API Gateway, VPC, PrivateLink, SageMaker, S3, Glue, CloudWatch)
• Terraform; CI/CD with GitHub Actions; Docker
• Networking/Security: mTLS, VPC Peering, TLS/Private connectivity
• Observability: CloudWatch, logs/metrics/traces
• Databricks; Python; Shell; SQL

歓迎スキル（該当する場合）

• MLOps/Data Platform tools (SageMaker, Databricks, Airflow)
• Incident management and governance tools (Datadog, PagerDuty; SLO/SLAs; security/audit in financial services)
• Cross-organization platform design; FISC/financial security/governance experience

キャリア成長観点

• FY2027のデジタルバンク立ち上げを見据えたエンドツーエンドのインフラ所有を通じ、事業への直接的な影響と高い信頼性を経験。
• 金融向けセキュリティ・ガバナンスと高度な observability を習得し、運用成熟度を引き上げる。
• グループ全体のMLOpsプラットフォーム形成を牽引し、ツール選択やSLO/インシデント体制の標準化に関与。 Claude Code等のAI開発ツールの活用機会も。
• 複数組織横断の協働を通じたプラットフォーム設計能力とリーダーシップを育成し、 fintechおよびAI系のPlatform/SRE領域へのキャリア拡張が期待できる。