Senior Backend Engineer (AI-assisted) - 1840

Minimum 6 years of professional backend engineering experience with ownership of production services and system design. At least 6 years of hands-on, production-grade Python experience using Python 3.8 or newer. Proven experience designing and implementing microservices architectures using containerized services and service-to-service communication. Hands-on experience with Kafka for streaming and event processing, preferably Kafka 2.x or 3.x. Solid operational experience with Kubernetes, including deployments, observability, and runtime tuning on Kubernetes 1.20 or newer. Strong experience building and consuming REST APIs using HTTP, JSON, and OpenAPI specifications. Proficiency with GitHub-based development workflows, including feature branching, pull requests, and CI/CD pipelines. Experience building telemetry ingestion pipelines, data enrichment processes, and backend systems supporting agentic workflows. Demonstrated ability to debug, test, and maintain high-availability backend services in production environments.

Design, build, and maintain core backend services for telemetry ingestion, data enrichment, event processing, and RESTful APIs. Architect and implement microservices to support agentic and human-in-the-loop workflows, as well as automated operational tasks. Design and operate high-throughput streaming architectures using Kafka for event-driven processing. Deploy, monitor, and optimize backend services running on Kubernetes, ensuring production reliability and runtime stability. Collaborate with backend, platform, DevOps, QA, and frontend teams to define APIs, data contracts, and integration points. Establish and uphold best practices for testing, CI/CD, code reviews, and GitHub-based development workflows. Leverage AI-assisted development techniques to improve developer productivity and enable intelligent automation. Troubleshoot, debug, and support high-availability services in production, participating in incident response.