Senior Backend Developer (AWS/Azure, Python Expert)

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

Job Overview

• Job ID: J52162
• Job Title: Senior Backend Developer (AWS/Azure, Python Expert)
• Location: San Diego, CA
• Duration: 23 Months + Extension
• Hourly Rate: Depending on Experience (DOE)
• Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
• Employment Type: W-2, 1099, C2C
• Client: To Be Discussed Later

Key Responsibilities

• Ensure application security, performance, and scalability within regulated environments (HIPAA, FedRAMP High).
• Write clean, maintainable, and well-documented code following industry best practices.
• Troubleshoot and resolve issues across the application stack.
• Collaborate within an Agile development process, including sprint planning and code reviews.
• Build and maintain CI/CD pipelines using AWS CodePipeline, CodeBuild, and Git-based workflows.
• Develop and automate cloud infrastructure using Terraform and/or AWS CDK.
• Design, build, and operationalize data and ML pipelines using AWS Glue, Step Functions, Lambda, EMR, and SageMaker.
• Write robust AWS Glue ETL jobs (Python/PySpark) with exception handling, logging, and CloudWatch monitoring.
• Implement monitoring and dashboards in CloudWatch for ETL processes, data pipelines, and ML endpoints.
• Work with PostgreSQL, MySQL, DynamoDB, and data lake technologies.
• Apply security best practices including IAM least privilege, encryption, and secrets management.
• Contribute to architecture documentation, runbooks, and design reviews.

Required Qualifications

• Strong experience with Linux environments.
• Expert-level Python skills; knowledge of C++ and Go preferred.
• Experience with Django.
• Strong proficiency in AWS or Azure (experience in both is preferred; ability to learn the other quickly is required).
• Experience deploying and managing containerized applications (ECS strongly preferred; Kubernetes a plus).
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field.
• Minimum 7 years of post-education professional experience (work-study does not apply).
• AWS and/or Azure Professional-level certifications strongly preferred.

Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.