Negotiable
Outside
Remote
USA
Summary: The Advisor Application Engineer role focuses on maintaining the stability and reliability of enterprise data and analytics platforms through application engineering, cloud operations, and automation. This position is integral to supporting data delivery pipelines and business applications that enhance analytics and reporting capabilities within the organization. The ideal candidate will have extensive experience in cloud environments and automation tools. A strong technical background in application engineering and DevOps is essential for success in this role.
Key Responsibilities:
- Ensure the stability, scalability, and reliability of enterprise data and analytics platforms.
- Support end-to-end data delivery pipelines and business applications.
- Combine application engineering, cloud operations, and automation to enhance analytics and reporting.
Key Skills:
- Bachelor's degree in Computer Science, Engineering, or related discipline.
- 9+ years of experience in application engineering, DevOps, or cloud platform management.
- Hands-on experience with AWS, Azure, or Google Cloud Platform.
- Experience with container orchestration (Docker, Kubernetes) and automation tools (Terraform, Jenkins, GitLab CI/CD).
- Proficiency in SQL, scripting (Python, Bash, PowerShell), and API integration.
- Strong understanding of network, security, and system performance principles.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Job Description
The Advisor Application Engineer is responsible for ensuring the stability, scalability, and reliability of enterprise data and analytics platforms. This role combines application engineering, cloud operations, and automation to support end-to-end data delivery pipelines and business applications that power analytics and reporting across the organization.
Basic Qualifications
Bachelor s degree in Computer Science, Engineering, or related discipline.
9+ years of experience in application engineering, DevOps, or cloud platform management.
Hands-on experience with AWS, Azure, or Google Cloud Platform cloud environments; container orchestration (Docker, Kubernetes); and automation tools (Terraform, Jenkins, GitLab CI/CD).
Proficiency in SQL, scripting (Python, Bash, PowerShell), and API integration.
Strong understanding of network, security, and system performance principles.