- Design, build, and operate scalable backend services and APIs for Brand Safety and Safety & Compliance capabilities.
- Build and evolve event-driven and serverless systems using Node.js, TypeScript, AWS Lambda, SQS, EventBridge, S3, and related AWS services.
- Develop asynchronous workflows that handle retries, failures, duplicate processing, concurrency, throughput, and data consistency.
- Design and operate data pipelines that ingest, process, validate, and persist creator and social content.
- Build backend workflows integrating AI/ML and multimodal inference into customer-facing Brand Safety experiences.
- Design agent-ready APIs and tools, and build and operate AI agents as services using A2A, MCP, and similar interoperability patterns.
- Improve data models, queries, transactional workflows, and performance across relational databases including AWS Aurora PostgreSQL and AWS RDS SQL Server.
- Improve observability, monitoring, alerting, performance, scalability, and production reliability across services and data pipelines.
- Collaborate with Product, Data Science, ML, QA, DevOps, and engineering teams to deliver reliable production systems.
- Contribute to technical design and architecture, review code, mentor engineers, and establish engineering best practices.