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Remote role, mid-level experience range, and broad cloud/backend skillset driving moderate applicant competition.
Strong streaming, time-series, and IoT platform experience reduces cross-industry transferability.
Explicit 5–10 years plus mandatory Kafka, time-series, API, cloud, and IaC skills make filters stringent.
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Own and stabilize the end-to-end data pipeline from AWS IoT Core and Kafka into TimescaleDB, focusing on throughput, latency, correctness, and cost as device fleet scales from 400 to 1000+ units.
Design and evolve secure, low-latency GraphQL and REST APIs serving web and mobile clients; maintain backend-for-frontend (BFF) layer integrity as schema grows.
Drive infrastructure cost reduction, monitoring efficiency, and production health; lead incident response and deliver scalable, reliable telemetry services at high throughput.
5–10 years of experience building and operating production backend systems, including high-throughput streaming or time-series data processing.
Strong expertise in Kafka partitioning, consumer groups, schema evolution, and SQL/time-series databases like TimescaleDB, ClickHouse, or InfluxDB.
Proficiency with TypeScript/Node.js (NestJS preferred) and AWS production environment including ECS, IoT Core, and Terraform/IaC.
Experience migrating live systems without downtime using parallel writes, shadow validation, staged cutovers, and rollback processes.
Experienced operator with hands-on production incident management who architects software informed by live system reliability.
Technically influential engineer who sets rigorous standards, guides peers through reviews, and simplifies complex legacy systems effectively.
Skilled communicator able to clearly explain complex systems across diverse roles, from engineers to non-technical executives.