デジタルマーケティング支援事業でのInfrastructure Engineer(Senior Level)の求人
求人ID:1242587
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転職求人情報
職種
Infrastructure Engineer
ポジション
Senior Level
おすすめ年齢
20代
30代
40代
50代以上
年収イメージ
応相談(経験・能力を考慮の上当社規定により決定)
仕事内容
<Challenges that we face>
● Large offline data import processes, with latency constraints.
● Near real-time processing of large datasets.
● Data analytics of even greater volumes of data.
● Processing bulk data through Machine Learning algorithms for clustering, and predictions.
● Processing hundreds of millions of user sessions annually, imposes a significant challenge with respect to the design of its data structures, architecture, and domain logic.
● Constantly think, PoC and implement new solutions to onboard new customers in the continuously evolving DX market.
<As a Infrastructure Engineer - Senior Level, your mission is to>
● Lead and improve Kubernetes and cloud resource management.
● Identify a potential problem of infrastructure, propose possible solutions, and resolve the problem with a plan.
● Use your experience to make our infrastructure more reliable and scalable.
● Analyze the industry developments, trends, and formulate more efficient processes.
● Provide advice on projects from the architectural perspective.
● Keep our technology stack up to date.
● Educate, coach and mentor the junior members.
<Technologies that we use (for reference)>
● Cloud: AWS, GCP (Managed by Terraform)
● Platform: Docker, Kubernetes (EKS)
● CI/CD: GitHub Actions, ArgoCD
● Monitoring System: Prometheus, Grafana, CloudWatch, PagerDuty, Kibana, Sentry, FullStory
● DB: Cassandra, MySQL (RDS), Redis (ElastiCache), PrestoDB (Athena), BigQuery
● Middleware: Kafka, RabbitMQ, AWS Glue, AWS Batch, AWS Lambda
● Data collect: Apache httpd, Nginx, Firebase, Treasure Data
● Server Side: Java (Spring Boot), Python (Django, FastAPI)
● Front End: Vue.js, TypeScript
● VCS: GitHub
● Communication: Slack, Zoom
● Project Management / Documentation: JIRA, esa, Confluence, Google Drive
If you want to implement high volume data processing solutions, join us!
We provide competitive salaries and benefits.
● Large offline data import processes, with latency constraints.
● Near real-time processing of large datasets.
● Data analytics of even greater volumes of data.
● Processing bulk data through Machine Learning algorithms for clustering, and predictions.
● Processing hundreds of millions of user sessions annually, imposes a significant challenge with respect to the design of its data structures, architecture, and domain logic.
● Constantly think, PoC and implement new solutions to onboard new customers in the continuously evolving DX market.
<As a Infrastructure Engineer - Senior Level, your mission is to>
● Lead and improve Kubernetes and cloud resource management.
● Identify a potential problem of infrastructure, propose possible solutions, and resolve the problem with a plan.
● Use your experience to make our infrastructure more reliable and scalable.
● Analyze the industry developments, trends, and formulate more efficient processes.
● Provide advice on projects from the architectural perspective.
● Keep our technology stack up to date.
● Educate, coach and mentor the junior members.
<Technologies that we use (for reference)>
● Cloud: AWS, GCP (Managed by Terraform)
● Platform: Docker, Kubernetes (EKS)
● CI/CD: GitHub Actions, ArgoCD
● Monitoring System: Prometheus, Grafana, CloudWatch, PagerDuty, Kibana, Sentry, FullStory
● DB: Cassandra, MySQL (RDS), Redis (ElastiCache), PrestoDB (Athena), BigQuery
● Middleware: Kafka, RabbitMQ, AWS Glue, AWS Batch, AWS Lambda
● Data collect: Apache httpd, Nginx, Firebase, Treasure Data
● Server Side: Java (Spring Boot), Python (Django, FastAPI)
● Front End: Vue.js, TypeScript
● VCS: GitHub
● Communication: Slack, Zoom
● Project Management / Documentation: JIRA, esa, Confluence, Google Drive
If you want to implement high volume data processing solutions, join us!
We provide competitive salaries and benefits.
必要スキル
<Your Skills and experience that we look for>
● Experience leading the design, implementation and maintenance of scalable infrastructure in AWS/GCP with IaC (Terraform/CloudFormation).
● 2+ years of experience in Kubernetes administration on a large scale.
● Expertise in leveraging Automation / DevOps principles and able to apply best practices for infrastructure and software deployment.
● Mentoring junior developers in gaining experience and assuming DevOps responsibilities.
● Intermediate English Level (listening, speaking, reading, and writing).
Value-added skills:
● Profound understanding of Kubernetes (operator development, cluster management, etc.).
● Build and optimize data processing architecture with AWS services (Glue, EMR, Athena, Lambda) or GCP (Firebase, Firestore, BigQuery).
● Experience in establishing a workflow for incident response.
● Experience in administration of Apache Kafka, Apache Cassandra, MySQL on a large scale.
● Experience in setup of monitoring tools with high availability: Prometheus, Grafana, ELK stack.
● Experience in Linux and Unix administration.
● Experience with Python or Java (or any other JVM Languages).
● Experience with Agile Scrum-based development process.
● Japanese language skills (listening, speaking, reading and writing).
● Experience leading the design, implementation and maintenance of scalable infrastructure in AWS/GCP with IaC (Terraform/CloudFormation).
● 2+ years of experience in Kubernetes administration on a large scale.
● Expertise in leveraging Automation / DevOps principles and able to apply best practices for infrastructure and software deployment.
● Mentoring junior developers in gaining experience and assuming DevOps responsibilities.
● Intermediate English Level (listening, speaking, reading, and writing).
Value-added skills:
● Profound understanding of Kubernetes (operator development, cluster management, etc.).
● Build and optimize data processing architecture with AWS services (Glue, EMR, Athena, Lambda) or GCP (Firebase, Firestore, BigQuery).
● Experience in establishing a workflow for incident response.
● Experience in administration of Apache Kafka, Apache Cassandra, MySQL on a large scale.
● Experience in setup of monitoring tools with high availability: Prometheus, Grafana, ELK stack.
● Experience in Linux and Unix administration.
● Experience with Python or Java (or any other JVM Languages).
● Experience with Agile Scrum-based development process.
● Japanese language skills (listening, speaking, reading and writing).
就業場所
就業形態
正社員
企業名
UXデザインコンサルティング企業
企業概要
UXチームクラウドサービスとUXデザインコンサルティングでUXを起点とした企業のデジタルトランスフォーメションを支援する企業です
企業PR
当社は人間の心理・行動を可視化することで、ユーザの体験を高めていくことを追求している会社です。
年間1,000人以上を対象に実施する「ユーザ行動観察調査」などの科学的な手法を用いたコンサルティングサービスと、ユーザエクスペリエンスを可視化するUXチームクラウドサービスの開発・提供により、企業がユーザ体験を向上させるための支援をしています。
デジタル時代だからこそ、企業が日々、データによってお客さまの様子をいきいきと実感し、体験の改善に取り組める世界を目指しています。
年間1,000人以上を対象に実施する「ユーザ行動観察調査」などの科学的な手法を用いたコンサルティングサービスと、ユーザエクスペリエンスを可視化するUXチームクラウドサービスの開発・提供により、企業がユーザ体験を向上させるための支援をしています。
デジタル時代だからこそ、企業が日々、データによってお客さまの様子をいきいきと実感し、体験の改善に取り組める世界を目指しています。
業務カテゴリ
組織カテゴリ
備考
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