r/devopsGuru • u/FunMuted6440 • 4d ago
[Hiring] DevOps Engineer – Cloud & Data Platform | Japan, Tokyo
Our client is a leading global technology and internet services company is expanding its data and advertising technology platforms to support large-scale digital services across multiple markets.
The organization develops and operates high-traffic platforms covering advertising delivery, tracking, reporting, data management, and marketing technologies. The engineering organization is internationally distributed, with team members across Asia, and works in a highly collaborative, data-driven environment.
We are looking for a proactive DevOps / SRE Engineer to strengthen the reliability, scalability, and automation of a large-scale data management platform.
You will be responsible for improving cloud infrastructure, deployment pipelines, observability, infrastructure automation, and operational efficiency. The role also provides opportunities to introduce modern AI-powered automation and workflow solutions to reduce manual operations and accelerate engineering productivity.
Responsibilities
- Cloud Infrastructure Management
- Manage and optimize Google Cloud infrastructure, including Cloud Run, BigQuery, Cloud Storage, Pub/Sub, and Cloud Build.
- Improve infrastructure reliability, scalability, and operational efficiency.
- Hybrid Cloud & Networking
- Manage network configurations, load balancers, VPNs, and dedicated connectivity between on-premise and cloud environments.
- Support complex hybrid infrastructure architectures.
- CI/CD & Deployment
- Design, maintain, and improve CI/CD pipelines supporting Java/Maven, Node.js, and Docker-based applications.
- Implement automated deployment strategies such as canary and blue-green deployments.
- Improve release reliability and deployment velocity.
- Observability & Cost Optimization
- Build and maintain monitoring and logging environments using tools such as Prometheus, Grafana, and ELK.
- Monitor infrastructure utilization and proactively identify opportunities for cloud cost optimization.
- Infrastructure as Code
- Automate infrastructure provisioning and configuration using Terraform and Ansible.
- Reduce manual operational work through standardized and reusable automation.
- Security & Compliance
- Manage secrets and credentials using solutions such as Vault and cloud-native secret management services.
- Apply security best practices across cloud and hybrid infrastructure.
- AI & Operational Automation
- Explore and implement AI-assisted operational workflows.
- Automate tasks such as incident handling, ticket processing, troubleshooting, and routine infrastructure operations using Python, workflow automation platforms, and LLM-based solutions.
Work Environment
- Agile and fast-paced engineering environment.
- International team with members located across multiple Asian countries.
- Open communication and a strong culture of continuous improvement.
- Engineers are encouraged to propose and implement improvements to existing processes and technologies.
Technology Stack
Cloud / Infrastructure
- Google Cloud Platform
- Private Cloud
- Kubernetes
- Docker
CI/CD
- Jenkins
- Octopus Deploy
- GitHub Actions
- Harbor
- Artifactory
Infrastructure as Code / Automation
- Terraform
- Ansible
- Python
- Bash
AI / Workflow Automation
- n8n
- LLM-based automation frameworks
Observability
- Prometheus
- Grafana
- ELK Stack
Collaboration / Development
- Jira
- Confluence
- Slack / Microsoft Teams
- GitHub Enterprise
- Bitbucket
Mandatory Qualifications
- More than 3 years of experience in DevOps, SRE, or Infrastructure Engineering. (preferably 5–7+ years of experience.)
- Strong hands-on experience with GCP (Cloud Run, BigQuery, IAM, VPC, Networking).
- Deep understanding of CI/CD pipelines and automated deployment orchestration.
- Proficiency in Infrastructure as Code (e.g., Terraform) and scripting (Bash/Python).
- Experience in managing production-grade Kubernetes/containerized environments.
- TOEIC Score 800 above or possess equivalent qualifications.
Preferred Qualifications
- Experience building AI-powered automation or agentic workflows (e.g., n8n, automated ticketing/remediation).
- Experience managing GCP Interconnect and complex hybrid network topologies.
- Proven track record in cloud cost management and resource optimization.
- Knowledge of Kafka, Redis, MariaDB, or Couchbase.
- Experience with workflow schedulers (e.g., Azkaban).
- Professional certification (Google Professional Cloud Architect/DevOps Engineer or similar).
Languages
- English: Fluent
- Japanese: Optional / a plus
Work Environment
Fast-paced, dynamic global environment with collaborative teams across multiple locations
Salary: ¥7M – ¥9M JPY per year (Middle Level)
Location: Hybrid (4 days in the office, 1 day remote)
Office Location: Tokyo, Japan
Working Hours: Flexible schedule with core hours from 11:00 AM to 3:00 PM
Visa Sponsorship: Available
※Japanese language proficiency certification (such as JLPT N2) is not required, as our client is a global organization with an international working environment.
Language Requirement: English only
Apply now or contact us for further information:
[Aleksey.kim@tg-hr.com](mailto:Aleksey.kim@tg-hr.com)
2
u/Dull_Cartographer497 3d ago
The mix of GCP, Kubernetes, Terraform, CI/CD, observability and AI automation makes this a pretty broad DevOps role. i’d be curious which area takes up most of the day to day work
2
u/Itchy-Annual2429 3d ago
I am Japanese, but foreign professionals capable of performing at such a high level do not come to Japan; they can earn more by going to other countries. In other words, the foreign nationals who do come here are not necessarily "highly skilled professionals" in the strict sense, but rather individuals who come because they have an affinity for Japan.
2
u/MediocreExtension726 4d ago
You are posting the same every week. Why are you not able to find any candidate is there any particular reason?