Cloud Platform Engineer (K8S&NW Specialist) | Relocation Offered

Position

We are seeking a highly skilled and experienced Platform Engineer to manage and enhance our entire application delivery platform, from Cloudfront to the underlying EKS clusters and their associated components. The ideal candidate will possess deep expertise across cloud infrastructure, networking, Kubernetes, and service mesh technologies, coupled with strong programming skills. This role involves maintaining the stability, scalability, and performance of our production environment, including day-to-day operations, upgrades, troubleshooting, and developing in-house tools.

Main Responsibilities

• Perform regular upgrades and patching of EKS clusters and associated components & oversee the health, performance, and scalability of the EKS clusters.
• Manage and optimize related components such as Karpenter (cluster autoscaling) and ArgoCD (GitOps continuous delivery).
• Implement and manage service mesh solutions (e.g., Istio, Linkerd) for enhanced traffic management, security, and observability.
• Participate in an on-call rotation to provide 24/7 support for critical platform issues and monitor the platform for potential issues and implement preventative measures.
• Develop, maintain, and automate in-house tools and scripts using programming languages like Python or Go to improve platform operations and efficiency.
• Configure and manage CloudFront distributions, WAF Policies for efficient & secure content delivery & routing.
• Develop and maintain documentation for platform architecture, processes, and troubleshooting guides.

Tech Stack

• AWS: VPC, EC2, ECS, EKS, Lambda, Cloudfront, WAF, MWAA, RDS, ElastiCache, DynamoDB, Opensearch, S3, CloudWatch, Cognito, SQS, KMS, Secret Manager, KMS, MSK
• Terraform, Github Actions, Prometheus, Grafana, Atlantis, ArgoCD, OpenTelemetry

Your qualification

• Proven experience as a Platform Engineer, Site Reliability Engineer (SRE), or similar role with a focus on end-to-end platform ownership.
• In-depth knowledge and hands-on experience of at least 4 years with Amazon EKS and Kubernetes.
• Strong understanding and practical experience with Karpenter, ArgoCD, Terraform.
• Solid grasp of core networking concepts and extensive experience of at least 5 years with AWS networking services (VPC, Security Groups, Network ACLs, CloudFront, WAF, ALB, DNS).
• Demonstrable experience with SSL/TLS certificate management.
• Proficiency in programming languages such as Python or Go for developing and maintaining automation scripts and internal tools.
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).
• Excellent problem-solving and debugging skills across complex distributed systems.
• Strong communication and collaboration abilities.
• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).

Preferred Qualifications

• Prior experience working with service mesh technologies (preferably Istio) in a production environment.
• Experience building or contributing to Kubernetes Controllers.
• Experience with multi-cluster Kubernetes architectures.
• Experience building AZ isolated, DR architectures.

What we offer

• Social Insurance (health insurance, employee pension, employment insurance and compensation insurance)
• 401K
• Translation/Interpretation support
• VISA sponsor + Relocation support

Working Conditions

Employment Status

• Full Time

Office Location

• Hybrid Workstyle (flexible working style including Remote and office)
• There are no fixed rules regarding office attendance in Product group; it depends on each individual's discretion.

Work Hours

• Super Flex Time (No Core Time)
• In principle, 9:00am-5:45pm (actual working hours: 7h45m + 1h break)

Holidays

• Every Sat/Sun/National holidays (In Japan)/New Year's break/Company-designated Special days

Paid leave

• Annual leave (up to 14 days in the first year, granted proportionally according to the month of employment. Can be used from the date of hire)
• Personal leave (5 days each year, granted proportionally according to the month of employment)
• Special paid leave system, which can be used to attend to illnesses, injuries, hospital visits, etc., of the employee, family members, pets, etc.

Salary

• Annual salary paid in 12 installments (monthly)
• Based on skills, experience, and abilities
• Reviewed once a year
• Special Incentive once a year *Based on company performance and individual contribution and evaluation
• Late overtime allowance
• Payroll payment can be changed to digital salary payment for an amount set by you