Chooch AI

DevOps Engineer

• Design, build, and maintain scalable backend services that support CV/LLM workflows, analytics, and customer-facing applications.
• Develop and evolve REST/GraphQL APIs, internal service interfaces, and event-driven integrations.
• Implement authentication/authorization patterns and ensure secure service-to-service communication.
• Build and maintain the data layer (storage, indexing, retrieval) that supports analytics, reporting, and search across CV outputs.
• Implement streaming and batch pipelines for ingesting camera/edge events and transforming model results into customer-ready insights.
• Define data contracts, schemas, and quality checks to keep downstream systems sane (because data loves chaos).
• Partner with ML engineers to productionize model inference: deployment patterns, versioning, monitoring, and rollback strategies.
• Integrate CV and LLM services into backend workflows with an emphasis on latency, throughput, and observability.
• Support experimentation while ensuring production systems remain stable and maintainable.
• Own service health via metrics, logs, tracing, alerting, and incident response practices.
• Optimize system performance across API latency, queue backlogs, database efficiency, and inference throughput.
• Improve platform robustness through testing strategy, CI/CD, and infrastructure-as-code collaboration.
• Work closely with Solutions Engineering to translate customer requirements into scalable backend solutions.
• Troubleshoot complex issues in production deployments (you won’t be alone, but you will be the calm voice in the room).
• Contribute to technical roadmaps and platform standards as we scale across customers and industries.

Backend Software Engineer – Web/ML Dev Ops