日本タタ・コンサルタンシー・サービシズ株式会社のAWS Cloud Architect - Automotive Domain【IoTDE - No.269】求人

日本タタ・コンサルタンシー・サービシズ株式会社

職種
年収
エリア
東京

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仕事内容

We are seeking a highly skilled Cloud Architect/Cloud Engineer to drive the design and management of cutting-edge cloud solutions within the automotive industry. This role involves collaborating closely with cross-functional teams to build and operate cloud-native environments that are integral to the digital transformation of software development for connected and autonomous vehicles. The primary responsibilities include designing cloud architectures for automotive data-driven solutions with a focus on public clouds (AWS, Azure, GCP), and ensuring these designs support robust application development through comprehensive feasibility checks, impact analysis, and risk assessments.

We will integrate cloud services with DevOps, MLOps, GenAI, and data platforms while implementing and migrating solutions using cloud service provider (CSP) services, particularly on AWS. The role also involves setting up, deploying, and managing cloud infrastructure, applications, and databases, identifying performance bottlenecks, and employing CSP services alongside open-source tools for optimization.

Additionally, this position entails designing and managing CI/CD pipelines using tools like Jenkins, GitLab, and CodeDeploy, as well as ensuring seamless communication with legacy applications hosted on varied platforms. Managing containerization and orchestration through Docker and Kubernetes, securing infrastructure access, and mentoring team members are also key duties. Documentation of procedures and effective incident management within a hybrid cloud setup will be continuously required.

This opportunity allows for innovation in the automotive field by advancing software deployment and testing virtualization, thereby enhancing developers' efficiency and speeding up time-to-market for new features.

募集要項

勤務地-
給与1. Annual salary: To be decided in consideration of candidates’ experiences and abilities.
Discretionary labor allowance: 60,000 JPY - 80,000 JPY
Overtime work allowance: Paid according to overtime working hours
Salary raise: Yes
Premium: Yes
勤務時間1. フレックスタイム制(コアタイム10:00〜16:00)
休暇制度- Annual paid leave (10 days provided in the first year * Variable depending on joining date)
- Two days off every week (Sat, Sun)
- Public holidays
- Yearend and new year holidays
- Congratulation or condolence leave
- Nursing leave
待遇・福利厚生- Employment status: Regular Employee
- Working hours classification: Deemed working hours system
- Deemed working hours per day: 8 hours
- Salary: Annual salary based on experience and abilities; Discretionary labor allowance: 60,000 JPY - 80,000 JPY; Overtime work allowance
- Salary raise: Yes
- Premium: Yes
- Working hours: 9:00 - 18:00 (Actual working hours: 8 hours / Flex time system / Core time: 10:00 - 16:00)
- Holiday/Leave: Annual paid leave, Two days off every week (Sat, Sun), Public holidays, Yearend and new year holidays, Congratulation or condolence leave, and nursing leave
- Welfare program:
- Insurance: Medical insurance, Welfare pension, Employment insurance, and Industrial injury insurance
- System: Asset-building savings, Company pension, Cafeteria plan (selection-based corporate member welfare service)
- Facility: Corporate membership facility (Athletic club, Onsen resort house, hotel accommodations, etc.)
リモートワーク-
その他- **応募要件**:
- At least 5yrs of experience in architecting cloud infrastructure (AWS, Azure, GCP) with a focus on quality, security, cost-control, and optimization.
- Strong knowledge of CI/CD setup and management using GitLab, GitHub, CodeCommit, Azure DevOps.
- Automation experience with scripting languages (Python, Bash, PowerShell).

- **望ましい経験**:
- Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation.
- Advanced knowledge of Windows and Linux OS fundamentals.
- Expertise in designing and deploying microservices with Docker and Kubernetes.
- Kubernetes administration experience, including installation, configuration, and troubleshooting.
- Familiarity with ML environments and tools like AWS Bedrock, SageMaker, and Glue.
- System administration and cloud infrastructure monitoring experience.
- Familiarity with SDV software development in the automotive domain.
- AWS Certified Solutions Architect - Professional, Azure Solutions Architect Expert, or Certified Kubernetes Administrator (CKA) certification.
- Understanding of SDLC, Agile development, and testing procedures in the automotive domain.
- Experience with connected cars and IoT in the automotive industry.

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