Bayone
Sr Software Engineer
Bayone, Palo Alto, California, United States, 94306
WHO ARE WE LOOKING FORWe 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)
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)