Senior Azure Cloud DevOps Engineer

Datafielder - Atlanta, GA

Full-time - Senior

Atlanta, GA

About the position

DataFielder Inc. is seeking a Senior Azure Cloud DevOps Engineer to enhance scientific cloud computing adoption and best practices within the enterprise. This role focuses on systems reliability, auditing existing systems, and developing configurations in various areas including networking, security, and infrastructure-as-code. The engineer will design and operate enterprise data services, automate data modeling processes, and explore emerging tools to create new public health data products.

Responsibilities

• Focus on systems reliability and best practices, auditing existing systems and developing configurations in networking, RBAC/IAM, security, infrastructure-as-code, CI/CD, and high-performance compute.
• Design, develop, and operate shared enterprise data services to modernize and integrate with existing systems.
• Expand the quantity and quality of services and assist programs in creating new public health data products using the shared platform.
• Explore and evaluate emerging tools and enterprise approaches, such as machine learning operations, dynamic visualizations, and containerization.
• Automate data modeling processes with an emphasis on DevSecOps best practices using secured code and data repositories, CI/CD pipelines, and Infrastructure as Code (IAC).

Requirements

• Bachelor's degree in computer science, Engineering, or a related field; Master's degree is a plus.
• 6+ years of experience in Azure cloud engineering, architecture, and/or DevSecOps.
• 6+ years of git (version control) experience in a fast-paced team-based setting.
• 6+ years' experience with Docker, podman, Kubernetes, and related technology.
• Proficiency in Infrastructure as Code (IaC) practices and experience with PowerShell / CLI.
• Strong knowledge of CI/CD including GitHub Actions and yaml.
• Understanding and experience on how to set up organizational Self-hosted Runners in Github Actions.
• Strong knowledge of Azure Identity and Access Management, Governance, and Security best practices.
• Solid experience with Azure Batch compute and related services.
• Proficiency in Python or R for scripting and automation tasks; familiarity with data manipulation libraries is preferred.
• Experience with data pipeline architecture and management.

Nice-to-haves

• Existing CDC badge and clearance.
• Prior experience working for CDC.
• 6+ years of Bash and Unix-scripting.
• 6+ years' experience working with Linux distributions, including Ubuntu.
• Prior production experience with DAG tools (i.e. Airflow, Nextflow) is highly desirable.
• Knowledge of cloud security best practices and data governance frameworks.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Life insurance
• Paid time off (PTO)
• 401K with company match