
Member of Technical Staff – Product Platform
Posted 21 hours ago

Posted 21 hours ago
This is a fully remote position, open to applicants in Brazil.
• Enhance the API along with online and batch prediction APIs utilized by enterprise customers.
• Improve the dashboard and workspaces, focusing on file transfers, batching, models, testing predictions, webhooks, and API keys.
• Develop usage, quota, and billing integration to ensure consumption is monitored, attributed to the appropriate workspace, and invoiced accurately.
• Construct foundational components for Avra Core that support data sources, corrections, schemas, targets, and horizons from model training and evaluations to the initial production prediction.
• Present the catalog, versions, and status of models managed by ML Systems without duplicating sources of truth.
• Provide Operations teams with visibility into every customer run through back-office tools, notifications, and a production dashboard.
• Take ownership of systems and outcomes as a Member of the Technical Staff on the Platform team.
• Proven experience in developing and managing B2B products or public APIs in a production environment, relied upon by customers.
• Strong skills in API design, including versioning, idempotency, pagination, rate limiting, authentication, and key management.
• Familiarity with multi-tenant systems, encompassing organizations, workspaces, permissions, and isolation.
• Experience writing production code in Go and TypeScript, spanning from the backend to the user interface.
• A strong product sense: collaborate with Product teams and FDEs to comprehend customer issues prior to coding.
• Commitment to producing high-quality code and conducting thorough reviews, along with a willingness to support what you develop.
• Regularly utilize coding agents, with a clear perspective on their safe application.
• Preferred qualifications: experience with usage-based metering and billing; webhooks and large-scale event delivery; data or machine learning products; enhancing developer experience; familiarity with Kubernetes and GCP; experience in financial services or regulated environments.
• Competitive salary and performance-based bonuses.
• Flexible working hours and remote work options.
• Opportunities for professional development and continuous learning.
• Comprehensive health and wellness benefits.
• Supportive work environment that encourages innovation and collaboration.
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