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Broad, mid-senior generalist role with common skills increases applicant competition.
Backend and cloud leadership skills transfer broadly, though AI/telecom specifics modestly increase domain bias.
Explicit 6–10 years, leadership requirement, and many mandatory technical skills create strict shortlisting.
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Own the end-to-end technical execution and delivery of complex AI-enabled software solutions, ensuring alignment with architecture and business requirements.
Lead and mentor a team of junior to senior engineers, enforce engineering standards, conduct code reviews, and resolve technical challenges.
Collaborate closely with Forward Deployed Engineers and Technical Program Managers for delivery planning, risk mitigation, and customer-driven AI application integrations.
6 to 10 years of software engineering experience with at least 2 to 4 years in technical leadership roles.
Strong expertise in system design, microservices architecture, and backend development using Python and/or JavaScript/TypeScript with FastAPI or equivalent frameworks.
Experience with cloud-native deployments (Docker, Kubernetes), CI/CD pipelines, and infrastructure automation (Terraform).
English proficiency required; Japanese language proficiency desirable.
Experienced technical leader capable of managing diverse engineering teams across frontend, backend, AI integration, and cloud environments.
Strong domain expertise in AI application engineering including LLM workflows and RAG pipelines integrated into production-grade software systems.
Comfortable working in structured Agile environments coordinating with TPMs and customer-facing engineers, handling delivery pressures and rapid reprioritization.