Senior Engineer – Data Platform Infrastructure
| Company | Live Nation Entertainment |
|---|---|
| Location | Pennsylvania, USA, Houston, TX, USA, Louisville, KY, USA, Chester, PA, USA, Nashville, TN, USA, Austin, TX, USA, Tampa, FL, USA, Miami, FL, USA, Missoula, MT, USA, Dallas, TX, USA, Philadelphia, PA, USA, Milwaukee, WI, USA, Reston, VA, USA, Fort Worth, TX, USA, McKees Rocks, PA, USA, Charleston, SC, USA, Minneapolis, MN, USA, Denver, CO, USA, Kansas City, KS, USA, Columbia, SC, USA, McAllen, TX, USA, Atlanta, GA, USA, Tucson, AZ, USA, St. Petersburg, FL, USA, Baltimore, MD, USA |
| Salary | $136000 – $170000 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior |
Requirements
- Strong hands on experience with either AWS, Azure or GCP
- Solid knowledge of cloud architecture principles specifically for Big Data platforms
- Hands on experience with All phases of the software and system development life cycle and agile methodologies
- Hands on experience writing production software and automations in at least one general-purpose programming language (Python, Go)
- Hands on experience with Kubernetes, Docker or other containerization technologies and infrastructure-as-code (IaC) technologies such as Terraform
- Hands on experience with runtime orchestrations like serverless, container orchestrations, batch and realtime event orchestration, etc.
- Hands on experience building continuous integration(CI) with common tools such as GitHub Actions, Circle CI, Jenkins, and Tekton and experience building continuous deployment(CD) for both software and data architectures and adept with multiple deployment strategies like canary, blue-green deployments, etc.
- Agile development methodologies using the Atlassian suite: Jira, Confluence
- Collaborate with cross-functional teams to deliver data solutions and provide technical support and guidance to team members
- Stay up-to-date with the latest data engineering technologies and trends.
Responsibilities
- Design, develop, deploy, and maintain testable, secure platforms and infrastructure that are easy and efficient to use.
- Provide the foundations of all critical software.
- Implement security products for building the data platform.
- Empower product teams to take ownership of how they deliver software robustly and at scale.
- Participate in on-call rotations/Pagerduty for data platform support.
Preferred Qualifications
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No preferred qualifications provided.