Senior Backend Engineer (Python) - AWS/Azure Cloud

MACHINE LEARNING TECHNOLOGIES LLC; San Diego (CA); On-site; USD 100,000 - 130,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is looking for a Senior Backend Developer in San Diego, CA, focused on AWS/Azure and Python. The role demands strong experience with security, CI/CD pipelines, and data management within regulated environments. Candidates should have at least 7 years of professional experience and a degree in a related field. AWS and Azure certifications are preferred and the position is expected to last 23 months with potential for extension.

Join us to contribute to exciting projects in cloud infrastructure and machine learning while working in a diverse and inclusive environment.

Qualifications

• Minimum 7 years of post-education professional experience (work-study does not apply).
• Strong proficiency in AWS or Azure (experience in both is preferred).
• AWS and/or Azure Professional-level certifications strongly preferred.

Responsibilities

• Ensure application security and performance within regulated environments.
• Write clean, maintainable, and well-documented code.
• Collaborate in an Agile development process.

Skills

Linux environments

Expert-level Python

Django

AWS or Azure

Containerized applications

C++ and Go

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field

Tools

AWS

Azure

Terraform

PostgreSQL

MySQL

DynamoDB

Job description

MACHINE LEARNING TECHNOLOGIES LLC is looking for a Senior Backend Developer in San Diego, CA, focused on AWS/Azure and Python. The role demands strong experience with security, CI/CD pipelines, and data management within regulated environments. Candidates should have at least 7 years of professional experience and a degree in a related field. AWS and Azure certifications are preferred and the position is expected to last 23 months with potential for extension.

Join us to contribute to exciting projects in cloud infrastructure and machine learning while working in a diverse and inclusive environment.