AI&

AI&

Compute - Forward Deployment Engineer

Japan (Hybrid)RemotePosted 27 days ago
Full TimeSeniorRemoteJP

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Job Description

As a Field Development Engineer for our Compute Platform, you are the technical partner that helps customers get the most out of ai&’s PaaS infrastructure. Our compute platform is built for simplicity

Key Highlights

  • Solution Architecture & Deployment Design Design deployment architectures on ai&’s compute platform that fit the customer’s application, team, and scale requirements. Own the solution from initial scoping through production deployment.
  • Technical Customer Engagement Lead technical onboarding, architecture reviews, and deep-dive sessions with customer engineering teams. Operate as a technical peer to developers, platform engineers, and CTOs at both startups and enterprises.
  • Platform Onboarding Get customers live on ai& compute quickly and correctly. Manage the technical onboarding process, resolve blockers, and ensure the first deployment experience sets the right foundation.
  • Proof of Concept & Migration Support Lead technical POCs for enterprise prospects. Help customers migrate existing workloads from other platforms onto ai& infrastructure, identifying risks early and managing the transition cleanly.
  • Performance & Scalability Guidance Advise customers on how to configure and optimize their deployments for performance, cost, and reliability. Help them understand how to scale on the platform as their usage grows.

Qualifications

Required Qualifications

  • PaaS & Cloud Platform Experience You have worked with PaaS or cloud infrastructure platforms — Heroku, Render, Railway, AWS Elastic Beanstalk, Google App Engine, or similar. You understand how developers deploy applications on managed platforms and where they run into trouble.
  • Application Deployment Depth Strong understanding of how web applications, APIs, and backend services are deployed and operated in production. You know about containerization, runtime environments, networking, databases, and the full stack that surrounds an application.
  • Solutions Architecture Track Record You have designed and delivered end-to-end technical solutions for customers in a customer-facing technical role. You think in systems, you own the architecture, and you see deployments through to production.
  • Enterprise & Startup Customer Fluency Comfortable working across both enterprise and startup environments. You adjust your approach depending on who you are talking to — a solo founder moving fast or a platform team at a large enterprise moving carefully.
  • Troubleshooting Across the Stack You can diagnose problems at any layer — application code, runtime configuration, networking, infrastructure. You do not need to hand off to understand what is happening.
  • AI & ML Familiarity Working familiarity with AI and ML workloads is a plus. You do not need to be an ML engineer but you should be comfortable having a technical conversation about model deployment and inference when the customer needs it.
  • Relevant Tooling Strong command of at least one backend language. Familiarity with containers, CI/CD pipelines, cloud networking, and deployment tooling. Python proficiency is a plus.
  • Great Team Spirit A mission-driven approach to engineering, valuing clear communication, hands-on execution, and collective success over individual silos.

Skills & Technologies

GoAWSCI/CDPython

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Job Details

Employment Type

Full Time

Experience Level

Senior

Location

Japan (Hybrid)

Work Mode

Remote

Posted

27 days ago

Country

JP