WHO ARE WE LOOKING FOR
We are looking for candidates who are willing to work with a team and passionate about building efficient tools and frameworks to support workloads of Enterprise AI and enable cutting-edge solutions for machine learning model development lifecycle. This is a hybrid role requiring your presence onsite 3 days per week, where you will report to an Engineering Manager.
RESPONSIBILITIES:
• Define architecture and its plan to build robust, scalable, distributed systems for Enterprise AI
• Lead implementation of critical systems while maintaining reliability
• Work with other teams to maximize infrastructure usage and build efficient solutions for heavy tasks
• Collaborate with other teams in Woven by Toyota to integrate services in machine learning model development lifecycle
• Work closely with teammates to establish and improve development standards
• Implement CI/CD best practices for our services.
• nalyze and monitor our services
• Responding to incidents and taking on-call for systems in production
MINIMUM QUALIFICATIONS:
• Bachelor's degree in computer science or equivalent
• Strong experience with Kubernetes in production and container technologies
• Strong experience with event-driven, distributed, and cloud architectures
• Experience with Python, Golang, or related programing languages
• Knowledge of best practices for scalability, reliability, and security
• Understanding of DevOps best practices
• bility to speak business-level English with a collaborative spirit for effective stakeholder partnerships
NICE TO HAVES:
• Experience with databases and blob storage
• Familiarity with Kubeflow or Flyte
• Production system management, monitoring, and analysis
• Understanding of machine learning development life cycle
• Working knowledge of cloud infrastructure (e.g., AWS, GCP)
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