Job details
【About the position】
In this position, you’ll join the team supporting our research engineers. The team is organized as a stream-aligned team that is empowered to work quickly and independently. As part of this team, you’ll be collaborating directly with other members and stakeholders.
【Responsibilities】
Supporting research engineers from engineering to enable them to achieve high productivity.
Contributing to the automation and efficiency of operations.
【Why you join】
Work on best-in-class products in a fast-growing market with over 1000 companies using our products.
Grow as an engineer. Our team includes top engineers from some of the best companies in the industry.
Our product currently handles over 150,000 calls per day. Our customers demand high quality and stability from our products.
We value member ownership and leadership. Members take the initiative to initiate and execute projects that address team goals and challenges, and involve all stakeholders in the process.
【Tech stack】
Programing: Python, Go
Infrastructure: AWS, Kubernetes
API: REST, gRPC, GraphQL, Argo workflows
Development tools: GitHub, GitHub actions, Terraform, ArgoCD, Datadog, OneLogin, Pants
Communication tools: Slack, Google doc, Notion, JIRA, Miro
Eligibility
【Requirements】
5+ years of experience as a software engineer.
Experience in web application backend development and service operation.
Experience developing on public clouds such as AWS.
Experience developing with container technologies such as Docker and Kubernetes.
Experience in design and development considering performance, robustness, and redundancy.
Experience working in a team environment using Git.
Work experience in an English-speaking environment or business-level proficiency in English conversation skills.
【Nice to haves】
Experience developing and operating WebAPI or gRPC services.
Familiarity with Python or Golang.
Experience building and operating CI/CD tools such as GitHub actions.
Experience building and operating a build system such as Pants and Bazel.
Experience in monorepo development.
Experience in implementing and operating MLOps tools such as MLflow and Weights and Biases.
Experience in implementing and operating workflow engines such as Argo Workflows and Kubeflow Pipelines.
Understanding of machine learning and collaborative experience with researchers and ML engineers.
Experience in large-scale data processing, distributed systems, batch processing, streaming processing, etc.
Contributions to open-source projects.
Experience as a tech lead.
Salary
annual income:
700
Ten thousand yen
〜
1500
million yen
年収 7,000,000 円 - 15,000,000円Conditions will be determined by experience and ability.
Overtime pay is included for 45 hours.
Treatment and benefits
・Travel expenses
・Having side jobs is okay
・Stock Options
・15% rule
insurance
Location
Working hours
Full flex time
Holidays/Vacations
・Weekends off / National holidays
・Year end holiday
・Summer vacation
・Paid vacation
(Five days are granted on the date of joining the company and another five days after six months, for a total of 10 days.)
・Family leave
・1 day off for the birthday
・Bereavement leave
・Sick leave
・National holidays
trial period
6 month probationary period. The working conditions are the same as in the offer letter.
Selection Process
1. resume and CV check
2. coding test
2. soft skills interview
3. hard skills interview
4. final interview
Details will be sent from the HR department.
Company name
***********
*You can view all information when you make an introduction.
Industry
情報通信・情報処理
Business details
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*You can view all information when you make an introduction.