Salary
💰 $180,500 - $241,500 per year
Tech Stack
AngularCloudGoJavaJavaScriptPythonReactTypeScript
About the role
- Build UX experiences and agentic workflows to improve MLE workflows and productivity
- Build backend integrations to provide unified experience across ML lifecycle
- Raise the bar on system observability, debuggability, and operational excellence, and user experience
- Own and drive the design and architecture across the ecosystem that meets security and compliance standards
- Establish consistent metrics to measure platform performance & health and create the roadmap for scale, reliability, low latency and speed of development and deployment
- Partner with cross functional teams to understand requirements to design, architect and build framework of UX and backend integrations
- Partner with engineering teams to ensure seamless end-to-end flow and data quality
- Work across the project lifecycle: requirements, design, prototype, implementation, review, release, monitoring
- Review and approve technical design documents and pull requests
- Improve and enhance engineering systems documentation and development processes
- Identify and pursue new paths of inquiry, innovation and challenge status quo
- Develop and nurture technical talent within the team and recruiting
Requirements
- At least 7+ years of experience building production-level frontend applications using React, Angular, WebGL or similar frameworks
- Strong understanding of JavaScript/TypeScript and dynamic frontend fundamentals
- Experience building, deploying, and operating high-availability services
- Led large technical initiatives from idea to operationalization and continuous evolution of technical solution
- Ability to identify broad challenges (technical, functional, business) and parse them into initiatives
- Experience creating ground up enterprise architecture, systems architecture, integration architecture standards, frameworks, and practices
- Programming experience in Python, Java, Go
- Experience working with cloud infrastructure, automations, configuration management, artifact management and building advanced CI/CD solutions
- Experience collaborating with machine learning engineers and research scientists