Backend Python Engineer: Scalable APIs & Cloud DevOps

Cloud Analytics Technologies, LLC; Plano (TX); Presencial; USD 120 000 - 180 000; Tempo integral

Resumo da oferta

CLOUD ANALYTICS TECHNOLOGIES is seeking a skilled backend engineer to design and implement scalable services in Python using Django/Flask. You will manage data storage across PostgreSQL, MySQL, and Cassandra, and work with Kafka for messaging.

This role emphasizes containerized deployments via Docker and Kubernetes, robust testing, and cloud tooling on AWS/Azure. Collaborate with cross-functional teams to deliver reliable, well-architected systems while adhering to best practices in software

Qualificações

• Proficient in Python with web frameworks (Django/Flask) and REST API design.
• Strong SQL and NoSQL database experience (PostgreSQL, MySQL, Cassandra).
• Experience with Kafka, Linux system operations, and Docker-based environments.
• Solid understanding of data structures/algorithms and OOD principles.
• Familiarity with CI/CD and cloud platforms (AWS/Azure).

Responsabilidades

• Develop scalable backend services using Python and modern web frameworks.
• Design and implement robust RESTful APIs and data models.
• Build and maintain CI/CD pipelines and containerized deployments.
• Collaborate with data engineering and platform teams to ensure reliability and performance.
• Apply testing strategies with Pytest and automated test suites.

Conhecimentos

Python

Web Frameworks

SQL

NoSQL

Apache Kafka

Linux

Docker

Kubernetes

Git

REST API

Pytest

CI/CD

AWS

Azure

Data Structures

Algorithms

Formação académica

Bachelor's degree in Computer Science or related

Ferramentas

PostgreSQL

MySQL

Cassandra

Docker

Kubernetes

Git

AWS

Azure

Descrição da oferta de emprego

CLOUD ANALYTICS TECHNOLOGIES is seeking a skilled backend engineer to design and implement scalable services in Python using Django/Flask. You will manage data storage across PostgreSQL, MySQL, and Cassandra, and work with Kafka for messaging.

This role emphasizes containerized deployments via Docker and Kubernetes, robust testing, and cloud tooling on AWS/Azure. Collaborate with cross-functional teams to deliver reliable, well-architected systems while adhering to best practices in software