Cloud Computing Specialist

4 days ago

Rajahmundry, Andhra Pradesh, India beBeeCloud Full time ₹ 15,00,000 - ₹ 17,00,000
Job Title: Cloud Computing Specialist

We are seeking a skilled Python Developer with cloud and ELK stack experience to join our team. You will be responsible for building scalable backend services in Python, deploying applications on cloud platforms, and implementing monitoring and observability using the ELK Stack (Elasticsearch, Logstash, Kibana).

About this role:

This is an exciting opportunity to work with a talented team of professionals who are passionate about clean code, automation, and cloud-native architectures.

You will have the chance to design, develop, and maintain scalable Python-based backend services, deploy and manage applications on cloud platforms (AWS, Azure, or GCP), and implement logging, monitoring, and alerting using the ELK Stack.

The ideal candidate will have 3+ years of professional experience with Python (Flask, Django, FastAPI, etc.), proficiency in at least one cloud platform (AWS, Azure, or GCP), and strong experience with Elasticsearch, Logstash, and Kibana (ELK Stack) for log aggregation and visualization.

In addition, you will need to be familiar with Docker and Kubernetes, have a good understanding of CI/CD and DevOps principles, and experience with RESTful API development and microservices architecture.

A cloud certification (e.g., AWS Developer Associate, Azure Developer) would be a plus, as well as experience with Infrastructure as Code tools (Terraform, CloudFormation) and knowledge of message queues (e.g., Kafka, RabbitMQ).

The selected candidate will receive competitive compensation and benefits, including a generous salary package, excellent leadership, and a supportive environment that encourages individual development and innovation.

Key Responsibilities:

  • Design, develop, and maintain scalable Python-based backend services.
  • Deploy and manage applications on cloud platforms (AWS, Azure, or GCP).
  • Implement and maintain logging, monitoring, and alerting using the ELK Stack.
  • Build RESTful APIs and integrate with internal/external services.
  • Use Docker and Kubernetes for containerization and orchestration.
  • Set up and maintain CI/CD pipelines (e.g., Jenkins, GitHub Actions, GitLab CI).
  • Collaborate with cross-functional teams including DevOps, Data Engineering, and QA.
  • Monitor and troubleshoot cloud-deployed applications and services.

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