企画, 要件定義, 基本設計, 詳細設計, 実装, テスト
We are looking for an analytical, results-driven Web Engineer (Vue.js or Python) to join our Scrum team to work on a fast-paced SaaS product that analyzes individual user behavior.
Who are we?
◆ beBit, Inc.
We support the digital transformation of client companies with the UX team cloud "USERGRAM" and UX design consulting.
USERGRAM is our fast-paced flagship SaaS product, which analyzes individual user behavior and is used to create business plans and marketing strategies. More than 130 companies are using USERGRAM to analyze the behavior from a user base of over a billion people. At the end of July 2020, we raised capital of 2.5 billion yen and we plan to embark on overseas development of USERGRAM in China and Taiwan.
◆ Challenges that USERGRAM faces:
・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 growing DX market.
◆ As a Web Engineer, your mission is to:
・Analyze the industry developments, trends, and formulate more efficient processes.
・Discover product issues by yourself and propose improvement measures.
・Solve technical problems, and create a more seamless experience for users.
・Actively participate in the tech reviews.
・Educate, Coach and mentor the junior members.
・Keep our technology stack up to date.
・Have an interest in the design of the whole service and its issues.
・Communicate and collaborate with the business side to develop valuable products.
Technologies that we use in beBit:
● Web Frontend
● Backend and Data
Python, Java, Spring Boot, Django REST framework, Django, MySQL (RDS), Cassandra, FastAPI, Gradle, Kafka, Assertj, Pytest, JaCoCo, Checkstyle, Pandas, Google BigQuery, pip, scikit-learn, DVC, pre-commit, Amazon Athena, Redash
● DevOps and AWS
Kubernetes, Docker, Docker Compose, Prometheus, Grafana, Elasticsearch, Logstash, Kibana, Terraform, GitHub Actions, Github, Sentry, DataDog, PagerDuty, Amazon EC2, Amazon S3, Amazon API Gateway, Amazon Route 53, AWS Batch, Amazon SQS, Amazon CloudWatch, AWS Glue, AWS Lambda, Amazon CloudFront, AWS ElastiCache, Amazon ECR, Amazon EKS
● Communication : Slack, Zoom
● Project Management / Documentation : JIRA, esa, Confluence, Google Drive