Overview
Hybrid
Depends on Experience
Contract - W2
Skills
Azure Devops
Databricks
Docker
Kubernetes
data engineering
Python
Terraform
Job Details
Senior DevOps Engineer
Iselin, NJ (Need Onsite day 1, hybrid 3 days from office).
Contract- w2. H1b transfers are fine
Job Description:
Responsibilities:
- Design and implement scalable and secure cloud infrastructure using Azure services.
- Manage and optimize cloud resources to ensure high availability and performance.
- Monitor and troubleshoot cloud infrastructure and services.
- Develop and manage Databricks environments for data processing and analytics.
- Implement ETL pipelines using Databricks and integrate with other data sources.
- Optimize Databricks performance and cost.
- Write and maintain Terraform scripts to automate infrastructure provisioning.
- Implement infrastructure as code (IaC) practices to ensure reproducibility and consistency.
- Collaborate with development teams to integrate Terraform into CI/CD pipelines.
- Implement and manage CI/CD pipelines for automated deployments and testing.
- Use tools like Jenkins, GitHub Actions, or Azure DevOps for continuous integration and continuous deployment.
- Ensure security and compliance in DevOps workflows.
- Utilize Azure services such as Azure VMs, Azure Kubernetes Service (AKS), Azure SQL Database, Azure Blob Storage, etc.
- Implement and manage Azure Networking, including VNETs, VPNs, and ExpressRoute.
- Manage Azure Active Directory and role-based access control (RBAC).
- Work closely with cross-functional teams including developers, data scientists, and IT operations.
- Document infrastructure designs, configurations, and procedures.
- Provide training and support to team members on cloud technologies and best practices.
Requirements:
- 8+ years of experience in cloud engineering with a focus on Azure.
- Proven experience with Databricks and data engineering.
- Strong knowledge of Terraform and infrastructure as code principles.
- Hands-on experience with DevOps tools and practices.
- Experience in containerization and orchestration tools like Docker and Kubernetes.
- Proficiency in scripting languages such as Python, PowerShell, or Bash.
- Solid understanding of networking concepts and cloud security best practices.
- Excellent problem-solving skills and the ability to work in a fast-paced environment.
Preferred, but not required:
Certifications in Azure (e.g., Azure Solutions Architect, Azure DevOps Engineer).
Familiarity with Big Data technologies and frameworks.
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