Senior Python Backend Engineer — Kafka & Cloud-Native Lead

Cloud Analytics Technologies, LLC; Seattle (WA); On-site; USD 160,000 - 230,000; Full time

Job summary

CLOUD ANALYTICS TECHNOLOGIES is seeking an experienced backend engineer to design, develop, and operate scalable services and APIs using Python. You will own Kafka-based messaging systems and drive end-to-end reliability in a cloud-native environment.

You'll collaborate with cross-functional teams, optimize Kafka configurations for performance, mentor junior engineers, and lead CI/CD and cloud-architecture best practices across AWS/Azure/GCP.

Qualifications

• 8+ years of backend development experience.
• Strong Python production experience.
• Kafka in high-scale production environments.
• Experience with AWS, Azure, or GCP.

Responsibilities

• Design, develop, and maintain scalable backend services and APIs using Python.
• Implementation and management of Kafka-based messaging systems.
• Collaborate with cross-functional teams to translate requirements into solutions.
• Develop cloud-native applications on AWS/Azure/GCP.
• Lead Kafka optimization for performance and scalability.
• Mentor engineers and lead technical direction.
• Conduct code reviews and drive CI/CD and cloud architecture best practices.
• Troubleshoot production issues in backend services and Kafka.
• Contribute to architectural decisions ensuring maintainable and secure solutions.
• Implement automated testing frameworks within an agile lifecycle.

Skills

Python

Kafka

AWS

Docker

Kubernetes

Microservices

REST APIs

CI/CD

Git

Security practices

Tools

Kafka

Docker

Kubernetes

Git

Job description

CLOUD ANALYTICS TECHNOLOGIES is seeking an experienced backend engineer to design, develop, and operate scalable services and APIs using Python. You will own Kafka-based messaging systems and drive end-to-end reliability in a cloud-native environment.

You'll collaborate with cross-functional teams, optimize Kafka configurations for performance, mentor junior engineers, and lead CI/CD and cloud-architecture best practices across AWS/Azure/GCP.