業務内容

• Own the build, configuration, and lifecycle management of Linux server fleets supporting colo trading (provisioning, patching, hardening, and performance tuning).
• Engineer and maintain automation for OS deployment, configuration management, and continuous compliance to reduce manual touch.
• Partner with network, trading technology, and data center teams to optimize latency, throughput, and stability; include kernel/IRQ/CPU tuning as needed.
• Leverage AI-enabled reliability workflows for incident analysis and design, ensuring validation and data security.
• Operate and enhance observability across the stack (metrics, logs, alerts) and translate signals into runbooks and service improvements.
• Lead incident response for Linux/compute events; rapid triage, mitigation, root-cause analysis, and preventive actions.
• Manage colo hardware-adjacent duties (remote hands, firmware alignment, rack practices) and enforce secure access controls.
• Contribute to capacity planning, failure-mode thinking, maintenance windows, upgrade strategies, and resiliency testing.
• Produce operational documentation (build standards, runbooks, incident reports, procedures).
• Promote reuse-first AI adoption across SDLC/tooling with traceability, resiliency, and security controls.

技術スタック

必須スキル

• Production Linux administration (RHEL-derived, Debian/Ubuntu)
• SRE fundamentals, incident management, troubleshooting across OS/hardware/network
• Infrastructure automation with Bash and Python or Go
• Configuration management, CI/CD, monitoring/observability
• Security basics (secure access, secrets handling, least-privilege)
• Ability to communicate with both engineering and non-engineering stakeholders

歓迎スキル（該当する場合）

• Experience in electronic trading, latency-sensitive environments
• Colo data center experience (remote hands, maintenance windows, change discipline)
• Low-latency tuning (kernel/CPU pinning, interrupt tuning, time sync)
• Infrastructure-as-code patterns and golden image builds
• Fleet management, automated patching, drift control

キャリア成長観点

• 高信頼・低遅延環境を扱う金融系インフラのSREとしての専門性を深められる機会。
• AIを活用した信頼性設計・運用の実践と、クロスファンクション（ネットワーク／ハードウェア／取引技術）との協働を通じた影響力向上。
• インシデント対応のリーダーシップ、容量計画、アップグレード戦略、 resiliency testing など、運用の全域でリードできるキャリアパス。
• 将来的には Principal/Staff SRE やインフラプラットフォームの責任者としての成長機会。