Senior Cloud Backend Engineer - Python (AWS & Azure)

Cloud Analytics Technologies, LLC

San Diego (CA)

On-site

USD 83,000 - 165,000

Full time

2 days ago
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Job summary

CLOUD ANALYTICS TECHNOLOGIES LLC in San Diego, CA is seeking a Senior Backend Developer with deep AWS and Azure expertise, strong Python skills, and knowledge of Go and C++. You will design scalable cloud-native services, mentor junior engineers, and collaborate in an Agile environment to deliver secure data pipelines and ML workflows.

The role emphasizes DevOps practices, CI/CD with AWS tools, Terraform, and modern databases such as PostgreSQL/MySQL/DynamoDB, within HIPAA/FedRAMP-ready contexts.

Qualifications

  • Strong Linux experience and background in secure, regulated environments.
  • Expert-level Python skills; Go and C++ considered a strong plus.
  • Experience with Django and cloud providers (AWS or Azure).
  • Familiarity with containerization, CI/CD, and modern data stack.

Responsibilities

  • Build secure, scalable backend services on AWS/Azure.
  • Write clean, well-documented code and perform code reviews.
  • Develop and maintain CI/CD pipelines using AWS tools.
  • Design and operate data and ML pipelines with AWS Glue, Step Functions, and SageMaker.
  • Work with relational and NoSQL databases (PostgreSQL, MySQL, DynamoDB).

Skills

Linux
Python
Go
C++
Django
AWS
Azure
PostgreSQL
MySQL
DynamoDB
NoSQL
Terraform
AWS CDK
Kubernetes
ECS
PySpark

Education

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

Tools

Terraform
AWS CDK
AWS CodePipeline
CodeBuild
Git
Docker
Kubernetes
ECS
PySpark

Job description

CLOUD ANALYTICS TECHNOLOGIES LLC in San Diego, CA is seeking a Senior Backend Developer with deep AWS and Azure expertise, strong Python skills, and knowledge of Go and C++. You will design scalable cloud-native services, mentor junior engineers, and collaborate in an Agile environment to deliver secure data pipelines and ML workflows.

The role emphasizes DevOps practices, CI/CD with AWS tools, Terraform, and modern databases such as PostgreSQL/MySQL/DynamoDB, within HIPAA/FedRAMP-ready contexts.

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