KEY RESPONSIBILITIES
- Shape the Future of Data-Driven Mobility: Architect and implement advanced frameworks for data engineering, databases, stream processing, and cloud infrastructure, enabling cutting-edge autonomous driving capabilities.
- Lead Architectural Excellence: Develop high-level product specifications and design documents in collaboration with tech leads, product managers, and engineers, ensuring alignment with Arene's Chief Engineer Office and adherence to best practices.
- Innovate Through Prototyping: Create Proofs of Concept (POCs) to validate architectural decisions and reduce risks, guiding teams towards successful implementation.
- Support & Guide: Work closely with development teams throughout the Software Development Life Cycle (SDLC), providing technical guidance and ensuring the software product meets both functional and non-functional requirements.
- Champion Best Practices: Define and implement "fitness functions" for your software product to systematically validate its quality, and drive consensus on engineering practices and architecture decisions across teams.
- Hands-On Contribution: Write, test, debug, and optimize software, leveraging your deep technical expertise to support the engineering team in delivering high-quality solutions.
MINIMUM QUALIFICATIONS
- Educational Foundation: Bachelor's degree in Computer Science or a related field (Master's preferred).
- Extensive Experience: Over 10 years of proven experience in designing and implementing data-intensive applications and evolutionary architectures.
- Technical Proficiency: Expertise in Python, Java/Kotlin, JS/TS, Terraform, AWS, Kubernetes, or similar technologies.
- Analytical & Strategic Mindset: Ability to see the big picture while delving into the details, with a deep understanding of data structures, algorithms, and modern software development practices.
- Inclusive & Empathetic Leadership: Skilled at navigating technical, business, and organizational challenges, you bring a collaborative and empathetic approach to leadership.
- Cultural Awareness & Openness: Passionate about working in multicultural teams and valuing diverse perspectives.
NICE TO HAVES
- Experience with Autonomous Driving (AD/ADAS) systems, MLOps, Vector Databases, and related technologies.
- Knowledge of data regulations (e.g., GDPR), data privacy, and data governance.
- Proficiency in describing software architectures using UML and SysML.
- Ability to mentor and grow engineering teams.
- Japanese communication skills are a plus.
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