RIT Solutions, Inc.
Sr. Devops (Databricks)
RIT Solutions, Inc. - Atlanta, Georgia, United States, 30383
Work at RIT Solutions, Inc.
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Overview
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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.