IT1_Linux & DevOpsインフラエンジニア/Linux & DevOps Infra Engineer

私たちのリアルな様子はこちらから→ 株式会社アストロスケールの会社情報 - Wantedly

Export Control Laws:

Unless explicitly notified otherwise, our vacancies are covered by Export Control Laws which require candidates to be from an "Export Safe" Country as deemed by the Japanese Government.

The countries are as follows:

Japan, Germany, Australia, Argentina, Italy, USA, France, Netherlands, UK, Austria, Ireland, Czech, Spain, Greece Canada, New Zealand, Belgium, Bulgaria, Sweden, Switzerland, Norway, Finland, Luxembourg, Portugal, Denmark Hungary and Poland.

About the Role

Astroscale is seeking a specialist-level Platform Engineer to design, deploy, and maintain our core Linux/Ubuntu infrastructure, containerized workloads, and internal platform services. This role blends hands-on DevOps and SRE responsibilities, with ownership over AWS EC2 containers, on-premises Proxmoxvirtualization, GitLab CI/CD, BookStack, and LiteLLM. You will operate autonomously, drive automation, ensure platform reliability, and grow towarda Lead DevOps Engineerrole as the team and mission scale.

Key Responsibilities

Platform & Virtualization

• Deploy, configure, and maintainUbuntu Linux servers across AWS EC2 and on-premises ProxmoxVE environments.

• Manage containerized workloads using Docker and Docker Compose; maintain GitLab, BookStackdocumentation platform, and development VM fleets.

• Deploy, configure, and troubleshoot LiteLLM, including LLM routing/proxy infrastructure, and support AI/ML inference environments.

DevOps & Automation

• Build and optimizeCI/CD pipelines, infrastructure automation, and GitOpsworkflows using Terraform, Ansible, and Git.

• Implement configuration management, provisioning scripts, and version-controlled infrastructure standards.

SRE & Reliability

• Establish and maintainmonitoring, logging, and alerting forplatform health and performance.

• Lead incident response, root cause analysis, and post-incident reviews; maintainrunbooks and change documentation.

• Perform system patching, security hardening, backup/restore, and performance tuning.
• Participate in planned weekend or after-hoursmaintenance windows as required.

Essential Qualifications & Experience

• 5+ years in IT infrastructure/systems administration, with 3+ years focused on Linux (Ubuntu) production environments.

• Proficient in Linux CLI: system management, process control (systemd, cron, ps, top), package management, and log analysis.

• Hands-on experience with Docker and DockerComposein staging or production environments.

• Practical knowledge of Infrastructure as Code: Terraform for provisioning, Ansible for configuration management, and Git for version control.

• Experience with CI/CD platforms; GitLab CI/CD preferred, with Jenkins, GitHub Actions, or similar platforms also acceptable.

• Solid understanding of AWS core services, including EC2, VPC, IAM, S3, security groups, and basic networking.

• Experience with monitoring/logging tools such as Prometheus, Grafana, ELK, Datadog, or equivalent, and incident response workflows.

• Strong documentation habits, including runbooks, SOPs, change logs, and architecture diagrams.

• Language:Professional proficiencyin either English or Japanese, written and verbal. Must also possessat least basic conversational skills in the other language, with a demonstrated passion and commitment to actively learning it.

• Availability for planned weekend or late-night maintenance windows as needed.

Desirable Qualifications & Experience

• Interest or practical experience in leveragingAI/LLM tools to accelerate and enhance Infrastructure as Code (IaC) workflows, such as AI-assisted Terraform, Ansible, or CI/CD generation.

• Bilingual proficiencyin English and Japanese, written and verbal.

• Experience with Kubernetes, Helm, or container orchestration platforms.

• Practical understanding of SRE practices, including SLIs/SLOs, error budgets, capacity planning, and reliability metrics.

• Advanced ProxmoxVE administration, including ZFS, clustering, HA, and backup/restore strategies.

• Experience supporting AI/LLM infrastructure, model serving, or inference proxies.

• Leadership, mentoring, or team coordination experience.

• AWS Certified Cloud Practitioner or SysOps/DevOps Professional certification.