As a Lead, Platform Engineering, you will design and build cloud-based distributed systems that solve complex business challenges for some of the world’s largest companies. You will draw on your deep software engineering, cloud engineering, and DevOps expertise to design and build technology stacks and platform components that enable cross-functional AI Engineering teams to create robust, observable, and scalable solutions.

• Participate in code reviews and contribute to the establishment and enforcement of coding standards and best practices to ensure high-quality, maintainable code
• Utilize Kubernetes and containerization technologies to deploy, manage, and scale analytics applications in cloud environments, ensuring optimal performance and availability. 
• Develop and maintain APIs and microservices to expose analytics functionality to internal and external consumers, adhering to best practices for API design and documentation
• Implement robust security measures to protect sensitive data and ensure compliance with data privacy regulations and organizational policies. 
• Continuously monitor and troubleshoot application performance, identifying and resolving issues that impact system reliability, latency, and user experience. 
• Influence, educate and directly support the platform  engineering capabilities of our clients
• Stay current with emerging trends and technologies in cloud computing, data analysis, and software engineering, and proactively identify opportunities to enhance the capabilities of the analytics platform

ABOUT YOU

Required

• 6+ years minimum experience and 3+ years at Senior or Staff level, or equivalent
• Master’s degree in Computer Science, Engineering, or a related technical field
• Proven experience as a cloud engineer and software engineer within either product engineering or professional services organizations