Django Developer - Devops, Gcp, Kubernetes | Remote - (C-912)

Location: Remote

Job Type: Full-time

Job Description:

As a Django Backend Developer, you will be responsible for building, optimizing, and maintaining backend systems with a focus on scalability, performance, and security. You will work closely with cross-functional teams to design and implement cloud-based solutions, ensuring smooth operations through load balancing, auto-scaling, and continuous integration. A $300 bonus will be paid out upon successful completion of a coding assessment. To receive this assessment, please submit your resume to this job application. If your resume is approved, you will receive the assessment afterwards.

Key Responsibilities:

1. Develop, deploy, and maintain backend services using Django.
2. Implement cloud-based architectures including load balancing, auto-scaling, and optimized resource usage.
3. Design and configure systems for high availability and fault tolerance using Kubernetes and Cloud Build.
4. Manage cloud storage using buckets and integrate Pub/Sub for event-driven architecture.
5. Monitor system performance and ensure reliability with logs, metrics, and proactive scaling strategies.
6. Work with App Engine to deploy applications and Cloud Schedulers for task automation.
7. Ensure security and compliance in all backend services and cloud implementations.
8. Collaborate with DevOps teams to streamline CI/CD pipelines and automate infrastructure.

Required Skills & Qualifications:

1. Strong experience with Kubernetes and container orchestration.
2. Expertise in cloud platforms such as Google Cloud Platform (GCP) or AWS.
3. Experience with Cloud Build, Pub/Sub, App Engine, Cloud Schedulers, and auto-scaling.
4. Strong understanding of load balancing, caching, and performance optimization.
5. Experience in monitoring and logging tools, such as Prometheus, Grafana, or similar.
6. Familiarity with CI/CD pipelines and infrastructure as code (IaC).
7. Strong problem-solving skills and ability to troubleshoot distributed systems.