Manager, System Reliability Engineering, Enterprise AI

About Woven by Toyota

Woven by Toyota, a part of the Toyota Group, is challenging the current state of mobility through human-centric innovation and empowering mobility transformation. Through our AD/ADAS technology, our automotive software development platform Arene OS, our mobility test course Toyota Woven City, and Toyota’s growth fund, Woven Capital, we are pioneering the movement of people, goods, information, and energy, weaving a future of enhanced safety, connectivity and well-being for all.

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TEAM

The Enterprise AI Team’s mission is to give Toyota a platform for AI growth. The team works to simplify training, inference, MLops and other aspects of AI development. This is used internally to build safety, convenience and autonomy for the Toyota vehicles.

As we scale out to more customers across different regions, the SRE team will provide incident and release processes, monitoring, debugging and alerting tools, and on-call support for Enterprise AI.

WHO ARE WE LOOKING FOR?

As the team lead of the Enterprise AI SRE team, you will expand the team’s capabilities. You will have a solid technical and leadership background to production teams for maintaining a reliable customer experience. You have knowledge of SRE technologies, processes, and best practices, to work closely with other engineering teams.

RESPONSIBILITIES

• Hire and lead engineers, promoting a collaborative and innovative environment
• Collaborate with cross-functional teams to align on project goals and deliverables
• Plan Enterprise AI adoption of site reliability tools and processes and achieve hands-on tasks relating to the platform
• Set up and take part in on-call rotations to ensure platform availability

MINIMUM QUALIFICATIONS

• 8+ years of experience in software engineering, with at least 2 years in a leadership role and site reliability engineering
• Kubernetes cloud infrastructure and services in AWS and/or GCP, Python/Go, and Terraform experience
• On-call support and monitoring/alerting tools (such as Pagerduty, Statuspage, Grafana, etc.), processes (such as on-call, incident management, post-mortems, release/change management, etc.), structure, and best practice experience
• Business level English or higher

NICE TO HAVES

• Experience working with customers and clients in Japan
• Experience working with machine learning and/or AI
• Japanese language skills

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Important Points

・All interviews will be arranged via Google Meet, unless otherwise stated.

・The same job descriptions are available in both English and Japanese; therefore, we kindly ask that you apply to only one version.

・We kindly request that you submit your resume in English, if possible. However, Japanese resumes are also acceptable. Please note that, depending on the English proficiency requirements of the role, we may request an English version of your resume later in the process.

WHAT WE OFFER

・Competitive Salary - Based on experience

・Work Hours - Flexible working time

・Paid Holiday - 20 days per year (prorated)

・Sick Leave - 6 days per year (prorated)

・Holiday - Sat & Sun, Japanese National Holidays, and other days defined by our company

・Japanese Social Insurance - Health Insurance, Pension, Workers’ Comp, and Unemployment Insurance, Long-term care insurance

・Housing Allowance

・Retirement Benefits

・Rental Cars Support

・In-house Training Program (software study/language study)

Our Commitment

・We are an equal opportunity employer and value diversity.

・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.