Description

You will design end-to-end signal flows from CDN edge detection through ingestion, processing, and downstream routing, while building scalable backend services and APIs.

This role is hybrid.

Responsibilities

• Architect edge-layer solutions using edge workers, CDN functions, Lambda@Edge, or similar technologies.
• Develop signal validation, normalization, persistence, and deterministic ingestion pipelines.
• Integrate with identity, trust, and third-party signal providers using JWT, JWS, PKI, OAuth 2.0, and public-key caching.
• Build data-access layers, feature pipelines, and model-registry integration points for ML inference.
• Make architectural decisions around AWS infrastructure, storage, reliability, observability, networking, IAM, and governance.

Required Skills

• 8+ years of experience building production-grade distributed systems.
• Deep hands-on expertise in Java, Spring Boot, API design, microservices, and event-driven architecture.
• Strong experience with AWS cloud services.
• Experience building systems that support ML inference, feature pipelines, model serving, feature stores, or data normalization.
• Hands-on exposure to edge computing or CDN execution environments.
• Track record of taking platforms or products from 0 to 1.
• Ability to translate undefined product goals into scalable technical designs.

Preferred Skills

• Experience using AI development tools such as GitHub Copilot, LLM-powered workflows, or agentic coding assistants.
• Bachelor's degree in Computer Science or related field.

Key Skills

Education

Bachelor's degree