AI Summary
Powered by ClaudeWe deliver data-driven recall services that help dealers and OEM partners reach customers faster, resolve recalls more effectively, and improve service outcomes. You will work close to core architecture decisions, own meaningful areas end-to-end, and help set the technical bar across backend reliability, data performance, and secure engineering practices.What you will ownThe robustness, scalability, and security of backend services that power mission-critical workflowsSystem performance for dat…
Job description
We deliver data-driven recall services that help dealers and OEM partners reach customers faster, resolve recalls more effectively, and improve service outcomes. You will work close to core architecture decisions, own meaningful areas end-to-end, and help set the technical bar across backend reliability, data performance, and secure engineering practices.What you will ownThe robustness, scalability, and security of backend services that power mission-critical workflowsSystem performance for data-heavy applications, including query efficiency and pipeline throughputClear, durable integration patterns across third-party systems and internal servicesArchitecture evolution across monolith, microservices, and event-driven systemsOperational excellence: observability, monitoring, incident response readiness, and safe deploymentsThe problems you will tackle (the fun part)Designing authorization and security patterns that scale cleanly across servicesReducing latency in data-heavy workflows (PostgreSQL and Redshift) while keeping correctness highBuilding resilient async/event-driven processing for high-volume operational workloadsCreating integration patterns that survive real-world failure modes (retries, idempotency, backoff, dead-lettering)Improving CI/CD and release confidence, including automated testing strategy and deployment safeguardsTurning cloud infrastructure into an advantage (cost, speed, reliability), not an afterthoughtWhat success looks like in your first 90 daysShip a substantial backend improvement that measurably improves speed, reliability, or securityImprove one critical data workflow end-to-end (query performance, throughput, cost efficiency, or stability)Strengthen observability in a key service area (metrics, logging, tracing, and alerting)Deliver a hardened integration or event-driven workflow with strong ...
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