Software Engineer II, AI Apps and Cloud Infrastructure

Position Overview

As a member of the Software Engineering team, the Software Engineer II, Apps and Cloud Infrastructure will play a crucial role on our AI team. As a key driver on the team, you will spearhead feature development aimed at massively scaling our AI infrastructure, fine-tuning cloud efficiency, and delivering services that power our next phase of growth.

Essential Job Functions

• Develop, and maintain scalable and reliable cloud infrastructure on BrainOS Google Cloud Platform (GCP).
• Collaborate with the Applied ML team and R&D team to design and implement efficient cloud services, ensuring high data quality and integrity.
• Develop APIs and services to facilitate seamless integration between the sense cloud platform and various web and robotic applications.
• Work closely with the web and application teams to understand their requirements and provide technical guidance and support.
• Participate in testing activities, including unit testing, integration testing, and system testing, to ensure the reliability, performance, and quality of the cloud platform.
• Monitor and optimize cost, performance and reliability of the sense cloud platform, identifying and resolving any issues or bottlenecks.
• Stay up-to-date with the latest advancements in cloud technologies, sharing knowledge and best practices with the team.
• Assist in other duties and responsibilities as assigned.

Required Education and Work Experience

• Bachelor’s Degree in Computer Science, Software Engineering or a related field.
• 2-4 years of demonstrated experience in software development.
• Experience in cloud engineering, with a focus on Google Cloud Platform (GCP).

Required Knowledge, Skills, Abilities and Other Characteristics

• Familiar with programming languages such as Go, Python, and TypeScript, with a demonstrated ability to write clean, maintainable code and using version control systems like git.
• Familiarity with cloud infrastructure and related technologies (compute, storage, networking, etc.) on GCP.
• Experience with infrastructure-as-code tools like Pulumi or similar technologies.
• Familiar with designing and implementing scalable data engineering workflows and data pipelines.
• Familiar with containerization technologies such as Docker and orchestration frameworks like Kubernetes.
• Understanding of RESTful APIs and the ability to design and develop them.
• Experience leveraging GenAI tools and coding assistants to accelerate development, enhance code quality, and