01Key Responsibilities
Design, develop, and maintain robust Python-based backend applications.
Implement and manage Kubernetes deployments, container orchestration, and microservices architecture.
Automate build, deployment, and scaling processes using CI/CD pipelines.
Collaborate with DevOps teams to optimize application performance and ensure high availability.
Troubleshoot production issues and implement efficient, scalable fixes.
Integrate APIs and work with cloud infrastructure (AWS, GCP, or Azure).
Ensure application security, reliability, and performance across environments.
Technical Skills Required:
Solid proficiency in Python (Flask / FastAPI / Django).
Hands-on experience in Kubernetes (K8s) for container orchestration and deployment.
Expertise with Docker, Helm charts, and containerized application development.
Experience with CI/CD tools such as Jenkins, GitLab CI, or Azure DevOps.
Working knowledge of cloud platforms (AWS / GCP / Azure).
Understanding of RESTful APIs, microservices, and scalable architecture.
Familiarity with Linux / Shell scripting for automation.
Experience with monitoring tools (Prometheus, Grafana, ELK stack) is an added advantage.
Qualifications:
Bachelors or Masters degree in Computer Science, Information Technology, or a related field.
510 years of skilled experience in Python application development and deployment.
Proven experience in end-to-end Kubernetes-based deployments in production environments.
Excellent problem-solving, debugging, and communication skills. .
