[Hiring] Senior Backend Engineer @Creative Chaos

Role Description

The Senior Backend Engineer builds the backbone that connects devices in the field to the data that drives decisions. Every event from every endpoint flows through systems you design.

• Build backend services in Go: Design, build, and maintain production Go services and APIs that are fast, concurrent, well tested, and easy for the next engineer to understand.
• Own device ingestion: Build the path from device to cloud on AWS IoT Core, covering device connectivity over MQTT, authentication, message routing, and the rules that hand data off downstream.
• Run real-time streaming pipelines: Design and operate Kinesis Data Streams and Firehose pipelines, with partitioning strategies, consumers, retries, back-pressure, and dead-letter handling. Ensure high throughput with no data loss.
• Model and load the warehouse: Design Redshift schemas, distribution and sort keys, and loading patterns that keep queries fast as data grows. Ensure the data that lands is correct, complete, and ready for analytics.
• Own reliability and cost: Build monitoring, alerting, and dashboards across the pipeline with CloudWatch or similar tools, tracking latency, data loss, and AWS spend. Understand the cost per million events and how to reduce it.
• Raise the engineering bar: Lead design discussions, review code, write clear technical documents, and mentor other engineers on the team.

Qualifications

• 5+ years of backend engineering experience, with at least 2–3 years writing production Go.
• Experience with AWS Kinesis or a comparable system such as Kafka at meaningful scale.
• Experience with AWS IoT Core or another device-telemetry ingestion platform, including MQTT and device authentication.
• Experience designing and optimizing Amazon Redshift, or a similar warehouse such as Snowflake or BigQuery, for production analytics.
• Strong on AWS (Lambda, S3, IAM, CloudWatch) and comfortable with infrastructure as code such as Terraform or CDK, Docker, and CI/CD.
• Ability to explain architecture trade-offs in plain English and write design documents that are easy to understand.

Requirements

• Understanding of goroutines, channels, and concurrency patterns that hold up under load.
• Knowledge of ordering, partitioning, exactly-once and at-least-once delivery, and replay.
• Strong SQL skills and ability to optimize slow queries.