Sr. Devops (Databricks)
Apply NowCompany: RIT Solutions, Inc.
Location: Atlanta, GA 30349
Description:
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We are seeking a Lead DevOps Engineer with 12+ years of experience in platform engineering to drive and manage the design, implementation, and optimization of cloud infrastructure. In this role, you will:
Required Skills -
cloud environments (AWS, Azure, or GCP)., Databricks, Write Python scripts
Job Duties -
Design, implement, and manage Databricks clusters, ensuring high availability and performance.
Automate cloud infrastructure provisioning using Terraform and ensure infrastructure as code (IaC) best practices.
Optimize resource allocation and cost management in cloud environments (AWS, Azure, or GCP).
Build and maintain CI/CD pipelines using tools like Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps.
Automate deployment, scaling, and monitoring of microservices and applications.
Write Python scripts for automating DevOps tasks, including cloud resource provisioning, monitoring, and log analysis.
Develop automation workflows for MuleSoft API deployments and integrations.
Set up monitoring tools like Prometheus, Grafana, Datadog, or Splunk to track system performance and log management.
Conduct incident response and troubleshooting for production environments.
Work closely with development, data engineering, and IT teams to improve DevOps workflows.
Job Requirements -
12 plus years of experience as a platform engineer
Design, implement, and manage Databricks clusters, ensuring high availability and performance.
Automate cloud infrastructure provisioning using Terraform and ensure infrastructure as code (IaC) best practices.
Optimize resource allocation and cost management in cloud environments (AWS, Azure, or GCP).
Build and maintain CI/CD pipelines using tools like Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps.
Automate deployment, scaling, and monitoring of microservices and applications.
Write Python scripts for automating DevOps tasks, including cloud resource provisioning, monitoring, and log analysis.
Develop automation workflows for MuleSoft API deployments and integrations.
Set up monitoring tools like Prometheus, Grafana, Datadog, or Splunk to track system performance and log management.
Conduct incident response and troubleshooting for production environments.
Work closely with development, data engineering, and IT teams to improve DevOps workflows.
Define best practices for infrastructure, deployment, and cloud governance.
Provide mentorship and training to junior DevOps engineers.
Desired Skills & Experience -
Define best practices for infrastructure, deployment, and cloud governance.
Provide mentorship and training to junior DevOps engineers.
We are seeking a Lead DevOps Engineer with 12+ years of experience in platform engineering to drive and manage the design, implementation, and optimization of cloud infrastructure. In this role, you will:
Required Skills -
cloud environments (AWS, Azure, or GCP)., Databricks, Write Python scripts
Job Duties -
Design, implement, and manage Databricks clusters, ensuring high availability and performance.
Automate cloud infrastructure provisioning using Terraform and ensure infrastructure as code (IaC) best practices.
Optimize resource allocation and cost management in cloud environments (AWS, Azure, or GCP).
Build and maintain CI/CD pipelines using tools like Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps.
Automate deployment, scaling, and monitoring of microservices and applications.
Write Python scripts for automating DevOps tasks, including cloud resource provisioning, monitoring, and log analysis.
Develop automation workflows for MuleSoft API deployments and integrations.
Set up monitoring tools like Prometheus, Grafana, Datadog, or Splunk to track system performance and log management.
Conduct incident response and troubleshooting for production environments.
Work closely with development, data engineering, and IT teams to improve DevOps workflows.
Job Requirements -
12 plus years of experience as a platform engineer
Design, implement, and manage Databricks clusters, ensuring high availability and performance.
Automate cloud infrastructure provisioning using Terraform and ensure infrastructure as code (IaC) best practices.
Optimize resource allocation and cost management in cloud environments (AWS, Azure, or GCP).
Build and maintain CI/CD pipelines using tools like Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps.
Automate deployment, scaling, and monitoring of microservices and applications.
Write Python scripts for automating DevOps tasks, including cloud resource provisioning, monitoring, and log analysis.
Develop automation workflows for MuleSoft API deployments and integrations.
Set up monitoring tools like Prometheus, Grafana, Datadog, or Splunk to track system performance and log management.
Conduct incident response and troubleshooting for production environments.
Work closely with development, data engineering, and IT teams to improve DevOps workflows.
Define best practices for infrastructure, deployment, and cloud governance.
Provide mentorship and training to junior DevOps engineers.
Desired Skills & Experience -
Define best practices for infrastructure, deployment, and cloud governance.
Provide mentorship and training to junior DevOps engineers.