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greenhouse

Member of Technical Staff, Infra

Abaka AI
USA
Full-time
Senior · 3+ years experience
Onsite
USD 140000-200000 yearly / year
Discovered 1 months ago
ReactTypeScriptCursorClaude CodeGitHub Copilot

Full Job Posting

  • Own the architecture of Abaka Expert Platform's shared backend systems—core services, data models, APIs, and cross-product infrastructure.
  • Define and drive the long-term technical strategy for backend architecture across the organization.
  • Design, build, and ship backend services and APIs that power AI-native product features at scale.
  • Design systems for scale, reliability, and evolvability, and lead the highest-stakes technical decisions and design reviews.
  • Establish backend engineering standards, patterns, and best practices adopted across all product teams.
  • Partner closely with Product and AI/ML teams to translate product and model requirements into production-grade systems.
  • Use modern AI development tools.
  • Improve performance, reliability, and observability of existing backend infrastructure
  • Debug and resolve production issues
  • 3+ years of professional backend software engineering experience
  • Strong expertise in backend: API design, data modeling, distributed systems, databases, and API design at scale.
  • A track record of owning architecture across multiple teams or an entire organization—and of decisions that aged well.
  • Capable in a modern frontend framework (React/TypeScript) and able to work the full path from UI to backend when needed
  • Product-minded: you push back on unnecessary complexity and think about the customer outcome the system enables.
  • Excellent communication skills—able to make complex tradeoffs legible to both engineers and leadership.
  • Experience building or integrating AI/LLM-powered features and agent designs
  • Fluent with modern AI development tools (e.g., Cursor, Claude Code, GitHub Copilot, or similar) as part of your daily workflow.
  • Comfortable with ambiguity and evolving priorities
  • High ownership, pragmatism, and a bias toward shipping.
  • Startup or founder experience
  • Experience building consumer-facing products at scale.
  • ML and Deep Learning knowledge and experience

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