Senior Python Developer (Azure)

TL;DR

Senior Python Developer (Azure): Designing and maintaining backend services and RESTful APIs with an accent on microservices and cloud deployment. Focus on optimizing cloud solutions in Azure/GCP and implementing scalable CI/CD pipelines with Docker and Kubernetes.

Location: Remote or Office (Office as an option model)

Company

hirify.global is a global data consultancy with over 1800 talents across 7 global sites.

What you will do

• Design, develop, and maintain backend services and RESTful APIs using Python.
• Build and optimize microservices architecture for production environments.
• Design, deploy, and manage cloud solutions, primarily using Microsoft Azure or GCP.
• Implement CI/CD pipelines and automated testing workflows.
• Utilize Docker and Kubernetes to manage production deployments.
• Collaborate in an Agile/Scrum team, participating in code reviews and architecture discussions.

Requirements

• Strong commercial experience in senior-level Python backend development.
• Hands-on experience designing and maintaining cloud-based solutions in Azure (priority) or GCP.
• Proficiency with backend frameworks such as FastAPI and/or Django.
• Proven experience building RESTful APIs and microservices.
• Practical experience with Docker and Kubernetes in production.
• English: Ability to communicate effectively is required.

Nice to have

• Experience with Infrastructure as Code (Terraform, Bicep, ARM templates).
• Knowledge of event-driven architectures and messaging systems like Kafka or Azure Service Bus.
• Experience with GraphQL.

Culture & Benefits

• Flexible work arrangement with an "Office as an option" model and workation policy.
• Unlimited access to the Udemy learning platform and certificate training programs.
• Strong internal growth culture, with 76% of managers being internal promotions.
• Inclusive, diversity-driven community with a Great Place to Work® certification.
• Comprehensive onboarding with a dedicated Buddy from day one.
• Provision of modern office equipment based on location.