Senior Python Backend Engineer — Kafka & Cloud Leader

MACHINE LEARNING TECHNOLOGIES LLC; Seattle (WA); On-site; USD 140,000 - 200,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Senior Engineer II, Python, to design, build, and maintain scalable backend services and APIs. You will manage Kafka-based messaging systems, drive performance optimizations, and collaborate with cross-functional teams to translate business needs into robust solutions.

You will develop cloud-native applications on AWS/Azure/GCP, lead architectural discussions, and mentor junior engineers to uphold high code quality, reliability, and security in an

Qualifications

• 8+ years of backend development experience.
• Strong Python production experience.
• Deep Kafka expertise in high-scale environments.
• Cloud-native apps on AWS/Azure/GCP.
• Proficient in Docker and Kubernetes.
• Experience with microservices and RESTful APIs.
• Knowledge of CI/CD pipelines, Git, and automated testing.
• Leadership or mentoring of engineering teams.

Responsibilities

• Design, develop, and maintain scalable backend services and APIs in Python.
• Manage Kafka-based messaging and distributed event-driven systems.
• Collaborate with cross-functional teams to translate requirements into solutions.
• Develop cloud-native apps on AWS/Azure/GCP.
• Optimize Kafka configurations for performance and scalability.
• Mentor engineers and lead technical direction and reviews.
• Oversee CI/CD, code quality, and cloud architecture best practices.
• Troubleshoot production issues in backend services and Kafka.

Skills

Python backend development

Kafka experience

Cloud platforms

Docker & Kubernetes

CI/CD & Git

Mentoring/leadership

RESTful APIs

Security practices

Tools

Kafka

Docker

Kubernetes

Git

CI/CD tools

Job description

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Senior Engineer II, Python, to design, build, and maintain scalable backend services and APIs. You will manage Kafka-based messaging systems, drive performance optimizations, and collaborate with cross-functional teams to translate business needs into robust solutions.

You will develop cloud-native applications on AWS/Azure/GCP, lead architectural discussions, and mentor junior engineers to uphold high code quality, reliability, and security in an