We are looking for an experienced software engineer to lead the development of our distributed edge compute platform. This role demands a deep understanding of hyperscalers like AWS, Azure, or GCP, and the ability to design and operate large-scale systems. The successful candidate will contribute to the platform's architecture, ensuring fault tolerance, consistency, and efficient traffic routing. • Design and implement a massively distributed edge compute platform, ensuring high availability and fault tolerance. • Develop external-facing APIs, considering design, versioning, and interactions with customers and partners. • Optimize high-throughput L7 traffic routing for efficient data processing. • Utilize Kubernetes internals for resource management and container deployment. • Collaborate with a team of engineers to build and operate the platform, sharing knowledge and best practices. • Translate distributed systems complexity into clear architectural tradeoffs • Communicate infrastructure risks and mitigation strategies to executive stakeholders • Manage technical requirements from customers’ needs. • Collaborate effectively with AI/ML systems engineers, Hardware architects, Network engineering teams, Security and compliance teams • Present scalability models and reliability metrics in measurable, defensible terms • Mentor engineering teams on distributed systems best practices • Anticipate internal and external business challenges and / or regulatory issues and drive process, product or service improvements that create competitive advantage. • Stay updated with the latest trends and technologies in distributed systems and edge computing. • Establish design reviews and architectural governance standards • Ensure the platform's security and data privacy, adhering to industry standards and regulations. • Conduct code reviews and provide constructive feedback to maintain code quality. • Extensive experience (5+ years) with hyperscaler technologies (AWS, Azure, GCP) and managed services. • Have worked at or intimately with AWS, Azure, GCP, or similar-scale platforms - built internal cloud, compute, or infrastructure services • Proven track record in designing and operating large-scale distributed systems. • Strong fundamentals in distributed systems, including consistency models and fault tolerance. • Proficiency in API design and development, with an understanding of versioning and SDK foundations. • Experience with Kubernetes and containerization technologies for resource management. • Solid understanding of high-throughput traffic routing and network protocols. • Ability to work independently and manage complex technical tasks. • Excellent communication and collaboration skills, with a willingness to share knowledge. • Familiarity with security best practices and data privacy regulations. • Master's degree in Computer Science, Engineering, or a related field. PhD preferred.