Senior Python & DevOps Engineer (API & Cloud)

Accenture; United States; Remote; USD 140,000 - 170,000; Full time

Job summary

Accenture is seeking a seasoned Python developer to lead design, development, and maintenance of scalable APIs and services. You will collaborate with product managers, designers, and engineers to translate requirements into robust features, while guiding a team across multiple projects.

The role emphasizes code quality, performance optimization, and mentorship, requiring extensive Python framework expertise and cloud/containerization proficiency to deliver reliable software at scale.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 9+ years of professional experience in Python development.
• Strong knowledge of Python frameworks such as Django, Flask, or FastAPI.

Responsibilities

• Design, develop, and maintain efficient, reusable, and reliable Python code.
• Collaborate with product managers, cross function, designers, and other developers to understand requirements and deliver features.
• Implement robust, scalable, and secure RESTful APIs and microservices.
• Optimize applications for maximum speed and scalability.
• Conduct code reviews and provide constructive feedback to team members.
• Troubleshoot, debug, and optimize existing code and applications.
• Stay updated with emerging technologies and industry trends.

Skills

Python

Django/Flask/FastAPI

RESTful APIs

SQL/NoSQL DBs

Git

Docker/Kubernetes

AWS/Azure

CI/CD

Microservices

Communication

Education

Bachelor’s degree in Computer Science, Engineering, or a related field

Tools

Git

Docker

Kubernetes

Jenkins

Azure DevOps

Job description

Accenture is seeking a seasoned Python developer to lead design, development, and maintenance of scalable APIs and services. You will collaborate with product managers, designers, and engineers to translate requirements into robust features, while guiding a team across multiple projects.

The role emphasizes code quality, performance optimization, and mentorship, requiring extensive Python framework expertise and cloud/containerization proficiency to deliver reliable software at scale.