Trading Analytics & AI Platform Engineer

Crypto

Chicago (IL)

Hybrid

USD 140,000 - 230,000

Full time

7 days ago
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Benefits offered by this job

Competitive salary
401(k) plan with employer match
Health, dental and vision insurance
Life/disability insurance
Hybrid work setup

Job summary

Crypto.com is seeking an experienced Trading Analytics Developer to join our Quant Trading team, bridging high-performance trading systems with AI platform engineering. You will design and build data pipelines, analytics engines, and AI tooling to support data analytics and AI workloads.

You will work with Python and Java, AWS, Kubernetes, and modern data platforms to deliver reliable, scalable solutions; focus on data quality, performance, and actionable insights across trading domains.

Qualifications

  • 5+ years production experience with Python and Java in high-performance environments.
  • Strong software engineering fundamentals: system design, data structures, algorithms, data integrity, performance optimization.
  • Expertise in Linux, Github, and modern CI/CD practices.
  • Proven experience with AWS cloud services and Kubernetes orchestration.

Responsibilities

  • Design, build, and operate high throughput batch and streaming data pipelines.
  • Develop and optimize analytical data models for time-series and trading activity.
  • Implement and manage analytical databases with cost-aware architecture.
  • Create comprehensive monitoring for data quality, freshness, and pipeline reliability.

Skills

Python
Java
Linux
AWS
Kubernetes
CI/CD

Tools

Kafka
Flink
Spark
ClickHouse
Airflow
Jenkins

Job description

Crypto.com is seeking an experienced Trading Analytics Developer to join our Quant Trading team, bridging high-performance trading systems with AI platform engineering. You will design and build data pipelines, analytics engines, and AI tooling to support data analytics and AI workloads.

You will work with Python and Java, AWS, Kubernetes, and modern data platforms to deliver reliable, scalable solutions; focus on data quality, performance, and actionable insights across trading domains.

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