Senior Platform Infrastructure Engineer

掲載中・今日に確認

給与: 記載なし
勤務地: 東京都
休日: 記載なし
雇用形態: 正社員

ハイブリッド勤務
在宅勤務あり
コアタイムなし

どんな仕事かAIによる生成

The Platform Infrastructure team operates Mercari's GKE platform and Terraform Infrastructure-as-Code as a managed service for engineering teams. The role covers cluster lifecycle, Terraform IaC, self-service developer tooling, autoscaling and capacity, and internal platform components in Go. It also participates in the Platform on-call rotation and drives reliability, security, and developer-experience initiatives with partner teams.

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応募資格

必須

Shared belief in Mercari's mission and values.
Senior-level engineering experience operating distributed systems in production at scale.
Deep understanding of Kubernetes internals - scheduler, controllers, kubelet, admission webhooks, autoscaler, network policy, workload identity - and production ownership of a managed Kubernetes environment (GKE, EKS, or AKS): cluster upgrades, incident debugging, add-on management.
Deep Terraform experience at scale - authoring custom modules, running blast-radius-aware migrations, refactoring shared IaC without breaking downstream consumers.
Strong system design and distributed systems fundamentals: consistency, replication, capacity planning, failure modes.
Track record of owning an infrastructure domain end-to-end: design, build, on-call, incident follow-through.
Professional working proficiency in English.
English: Business level (CEFR B2)

歓迎

Go for building k8s controllers, CLIs, and internal APIs.
Networking fundamentals - TCP/IP, Kubernetes networking (CNI, Services, ingress, network policy), DNS, HTTP/2, mTLS - enough to reason about incidents that cross the network boundary.
CI/CD platform experience (GitHub Actions, Jenkins, or similar) - authoring workflows, custom actions, self-hosted runners.
Autoscaling / capacity-planning depth: HPA / VPA / Cluster Autoscaler internals, cost-aware autoscaling, right-sizing.
Experience building internal developer platforms - self-service tooling, golden paths, CLI / API ergonomics.
Multi-region or multi-cluster operational experience.
Exposure to Elasticsearch or other search infrastructure (helpful for cross-team collaboration, not required).
FinOps sensibility - understanding cloud spend drivers and how infra choices show up on the bill.

応募について

Japanese: Not required

募集要項最終確認 11/13

職種: プラットフォームエンジニア
雇用形態: Employment Status: Full-time
給与: 記載なし
勤務地: 東京都
働き方: Office: Roppongi (hybrid)
勤務時間: Work Hours: Full Flextime (no core time)
選考の流れ: Application screeningFor engineering positions, you will be asked to complete a skill assessment on HackerRank or GitHub.The number of interviews may vary depending on the position.We will ask for online references around the timing of the final interview.Offers will be determined carefully in consideration of the final interview and the reference check.
掲載日: 2026/07/19 00:17（117日前）
最終確認: 2026/11/13 01:02（今日）

仕事内容

Organization/Team Mission

The Autonomous Cloud group in the Platform Division builds and operates the foundational infrastructure that lets every engineering team at Mercari ship products safely and quickly - covering the Kubernetes platform, search infrastructure, observability, networking, and FinOps. Our charter is to make complex infrastructure simple to consume, so product teams can spend their time on customer value rather than on running systems.
The Platform Infrastructure team - part of the Autonomous Cloud division - runs Mercari's Kubernetes platform and Infrastructure-as-Code as a managed service for engineering teams across the company. We operate the GKE clusters that host most of Mercari's microservices, own the Terraform code that provisions and evolve them, and build the developer-facing "kits" that let hundreds of engineers spin up new microservices and on-call setup in minutes rather than days. Our job is to abstract away the operational complexity of the platform so product teams can focus on building features. We are a team that combines hands-on operation of the clusters with deep expertise in Kubernetes internals and IaC-at-scale - partnering closely with Search Infra, Network, Observability, FinOps, DBRE, and Enablement teams.

Work Responsibilities

Co-own the GKE cluster lifecycle: upgrades, node-pool strategy, add-on management (Cert Manager, autoscaling, workload identity), capacity planning, and incident response.
Own and evolve the Terraform IaC: custom modules, large-blast-radius migrations, and the Terraform CI/CD that keeps changes safe at scale - drift detection, staged rollout, revert planning, and pipeline reliability.
Build and maintain "kits" - reusable Terraform modules and self-service tooling that let product teams provision repos (with CODEOWNERS), PagerDuty, GitHub Actions workflows, and deployment pipelines without infra hand-holding.
Own autoscaling and capacity at scale: Cluster Autoscaler / HPA / VPA, cost-aware right-sizing, and multi-region and node-pool strategies for large workloads.
Ship internal developer-platform components in Go: k8s controllers, CLIs and internal APIs, and AI agent skills that cut friction on the most-used developer paths.
Join the Platform on-call rotation after ramp-up; lead root-cause analysis and follow-through improvements.
Drive reliability, security, and developer-experience initiatives in partnership with FinOps, Network, Observability, DBRE, and Enablement teams.

Unique Challenges

Kubernetes at multi-tenant scale - We run GKE clusters that host hundreds of microservices deployed by teams across the company. Node-pool strategy (autoscaling, spot, ARM diversification), control-plane and add-on upgrade cadence, and workload isolation are everyday work. Every change to a shared Terraform module, a GKE add-on, or a kit touches all of those services at once, so getting the design and the rollout right up-front is a core part of the job.
Custom controllers, admission policy, and add-on ownership - A meaningful part of the platform is our own Kubernetes controllers, admission webhooks, and policy layer (RBAC, network policies, OPA / Gatekeeper) that keep a multi-tenant cluster safe and predictable. You design and run these, not just consume upstream.
Multi-region and multi-architecture roadmap - We are actively expanding to a multi-region topology and adopting different k8s node-types for cost and capacity headroom. You will help shape this rollout.
Developer-experience as an SLI - The self-service kits are used every day by product engineers. A regression in a kit shows up as friction across the whole engineering org, so we take DX seriously as a reliability signal, not a nice-to-have.
Cross-team ownership - Platform Infra sits between application teams, cloud providers, and peer infra teams (Search, Network, Observability, FinOps, DBRE, Enablement). Success in this role requires investing substantial time in cross-team architecture, shared platform capabilities, and organizational alignment not just work within your own team.

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