Negotiable
Undetermined
Remote
Remote
Summary: The role of Cloud Native / DevOps Engineer involves building, deploying, and managing scalable cloud-native applications and data platforms. The position requires strong expertise in Kubernetes, Databricks, containerization, and DevOps practices. The engineer will collaborate with cross-functional teams to ensure system scalability, reliability, and performance. This is a long-term contract position that is fully remote.
Key Responsibilities:
- Design and manage containerized applications using Docker & Kubernetes
- Work with Databricks for data engineering and analytics workloads
- Implement CI/CD pipelines and automate deployments
- Ensure system scalability, reliability, and performance
- Collaborate with cross-functional teams on cloud infrastructure
Key Skills:
- Strong hands-on experience in Kubernetes and containers
- Experience with Databricks (data pipelines, Spark)
- Good knowledge of DevOps tools (CI/CD, Git, Jenkins, etc.)
- Familiarity with cloud platforms (AWS/Azure/Google Cloud Platform)
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Hi ,
Greetings !
We do have opening for our client,
Role : Cloud Native / DevOps Engineer
Location : Remote
Duration : Long-term Contract
Job Description:
We are looking for a Cloud Native Engineer with strong experience in Kubernetes, Databricks, containerization, and DevOps practices. The candidate will be responsible for building, deploying, and managing scalable cloud-native applications and data platforms.
Key Responsibilities:
- Design and manage containerized applications using Docker & Kubernetes
- Work with Databricks for data engineering and analytics workloads
- Implement CI/CD pipelines and automate deployments
- Ensure system scalability, reliability, and performance
- Collaborate with cross-functional teams on cloud infrastructure
Required Skills:
- Strong hands-on experience in Kubernetes and containers
- Experience with Databricks (data pipelines, Spark)
- Good knowledge of DevOps tools (CI/CD, Git, Jenkins, etc.)
- Familiarity with cloud platforms (AWS/Azure/Google Cloud Platform)