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 requires strong hands on experience with Databricks, cloud environments (AWS, Azure, or GCP) and Write Python scripts
location: Alpharetta, Georgia
job type: Contract
salary: $80 - 90 per hour
work hours: 8am to 5pm
education: No Degree Required
responsibilities:
- 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.
#LI-RR3
qualifications:
- 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.
skills: Required Skills:
- Databricks
- cloud environments (AWS, Azure, or GCP)
- Write Python scripts
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).
This posting is open for thirty (30) days.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
