Description

What's the Job?

• Design and execute comprehensive test plans to ensure seamless migration of infrastructure and data pipelines across cloud providers.
• Develop and perform validation tests for distributed streaming platforms such as Kafka and Spark Streaming, ensuring data accuracy and integrity.
• Conduct performance, load, stress, and failover testing to simulate high-volume data conditions in cloud and containerized environments.
• Implement and maintain automated end-to-end and integration tests using Python and Go, leveraging Docker, Kubernetes, and Terraform for infrastructure validation.
• Collaborate with DevOps teams to integrate monitoring tools, troubleshoot issues, and ensure system reliability during migration processes.

What's Needed?

• At least 3 years of experience working with cloud platforms such as GCP, Azure, or AWS, and modern pipelining technologies.
• Hands-on expertise with streaming technologies like Kafka, Spark Streaming, and understanding of data streaming concepts.
• Proficiency with Infrastructure as Code (IaC) tools such as Terraform, Open Tofu, or Liquibase.
• Experience with containerization and orchestration tools including Docker and Kubernetes.
• Strong programming and scripting skills in Python and Go, with experience working in Linux environments

Key Skills

Education

Any Graduate