Hiring.Camp

Senior Backend Engineer (Go / AWS Streaming)

Creative Chaos

·

Today

Location
Pakistan · India · Germany · Romania · Argentina · Brazil
Workplace
Remote
Department
All Published Jobs
Seniority
Senior
Experience
5+ years
Source
Workable

Description

About us:
Creative Chaos is an AI orchestration company. We help businesses re-engineer how work actually gets done by placing AI orchestrators inside their teams to redesign workflows, deploy agents, and rewire operations end-to-end.

Job Summary:
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.

You will build and own high-throughput backend services in Go that ingest device telemetry through AWS IoT and Kinesis, process it in real time, and land it in Redshift for analytics and reporting. Your systems have to handle spikes without losing a single event, scale without anyone stepping in, and stay cheap enough to run at volume.

This is a senior, hands-on engineering role. We are hiring someone who has run streaming pipelines in production, has been paged when they broke, and has made them better every time.

Job Description:

  • Build backend services in Go: You 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: You 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: You design and operate Kinesis Data Streams and Firehose pipelines, with partitioning strategies, consumers, retries, back-pressure, and dead-letter handling. Throughput is high and no data gets lost.
  • Model and load the warehouse: You design Redshift schemas, distribution and sort keys, and loading patterns that keep queries fast as data grows. You make sure the data that lands is correct, complete, and ready for analytics.
  • Own reliability and cost: You build monitoring, alerting, and dashboards across the pipeline with CloudWatch or similar tools, and you track latency, data loss, and AWS spend. You know the cost per million events and how to bring it down.
  • Raise the engineering bar: You lead design discussions, review code, write clear technical documents, and mentor other engineers on the team.

Skills

AWSDockerTerraformCI/CDSQLSnowflakeBigQueryApache Kafka

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