Devops Engineer

Care Access•Williamsburg, VA

19h•$100,000 - $140,000•Remote

About The Position

We are seeking a talented and experienced DevOps Engineer to join our growing team. The ideal candidate will have a strong background in cloud technologies, particularly Azure, as well as hands-on experience with Databricks, Microsoft Fabric, container management (Docker), Terraform, and GitHub CI/CD pipelines. You will be responsible for designing, implementing, and maintaining a robust, scalable, and efficient DevOps infrastructure, ensuring the smooth operation of our development and deployment processes. How You'll Make An Impact Design and implement secure, scalable cloud infrastructure solutions for data engineer team Design and implement secure, scalable cloud infrastructure solutions for application development team Implement continuous monitoring solutions and logging solutions to improve observability of the tech stack

Requirements

Cloud Infrastructure Management: Design, deploy, and manage cloud-based infrastructure on Microsoft Azure to support scalable and high-performance applications.
Azure Services: Leverage Azure cloud services such as Azure data stores, Azure containers, Azure log management solutions, Azure Entra, and Azure App Services to optimize application delivery.
Scalability and Performance: Architect infrastructure solutions to ensure scalability, ensuring systems can handle increasing load while maintaining performance. Implement auto-scaling policies and optimize cloud resource usage for cost and performance efficiency.
Data Engineering: Support and manage Databricks environments for big data processing, including the configuration of clusters, security, and integration with other cloud services.
Container Management: Utilize Docker for containerization, and deploy/manage containers through Azure containers, Azure Kubernetes Service (AKS) or other orchestration tools.
Infrastructure as Code (IaC): Implement and manage infrastructure using Terraform, ensuring a scalable, repeatable, and version-controlled setup.
CI/CD Pipelines: Design, implement, and optimize CI/CD pipelines using GitHub Actions to automate build, test, and deployment processes.
Monitoring & Logging: Set up and manage comprehensive monitoring and logging solutions to ensure system performance, security, and availability.
Security: Design and enforce security practices for cloud infrastructure, containerized environments, and CI/CD pipelines. Implement Identity and Access Management (IAM) policies, network security controls, encryption, and vulnerability assessments to protect sensitive data and prevent unauthorized access.
Collaboration: Work closely with software developers, system engineers, and other cross-functional teams to ensure DevOps practices are followed throughout the development lifecycle.
Continuous Improvement: Proactively suggest improvements to infrastructure, processes, and automation to improve system efficiency, reduce costs, and enhance performance.
Strong problem-solving abilities and critical thinking.
Excellent communication and collaboration skills.
Ability to work independently and as part of a team in a fast-paced environment.
Proficient in using Terraform to provision and manage infrastructure as code.
Strong experience in designing and maintaining CI/CD pipelines using GitHub Actions or similar tools.
Expertise in monitoring and logging tools, such as Azure Monitor, Datadog, or ELK stack.
In-depth knowledge of cloud security best practices, including identity and access management, networking, and encryption.
Minimum of 3 years of experience in DevOps or Cloud Engineering roles.
At least 3 years of hands-on experience working with Azure cloud infrastructure and services.
Strong experience with Databricks and/or Microsoft Fabric in a production environment.
Expertise in containerization technologies, specifically Docker, and orchestration platforms such as Kubernetes.

Nice To Haves

Microsoft Certified: Azure Solutions Architect Expert or similar certifications
Terraform Associate certification
Docker and Kubernetes certifications (e.g., CKA, CKAD)

Responsibilities

Design and implement secure, scalable cloud infrastructure solutions for data engineer team
Design and implement secure, scalable cloud infrastructure solutions for application development team
Implement continuous monitoring solutions and logging solutions to improve observability of the tech stack
Design, deploy, and manage cloud-based infrastructure on Microsoft Azure to support scalable and high-performance applications.
Leverage Azure cloud services such as Azure data stores, Azure containers, Azure log management solutions, Azure Entra, and Azure App Services to optimize application delivery.
Architect infrastructure solutions to ensure scalability, ensuring systems can handle increasing load while maintaining performance. Implement auto-scaling policies and optimize cloud resource usage for cost and performance efficiency.
Support and manage Databricks environments for big data processing, including the configuration of clusters, security, and integration with other cloud services.
Utilize Docker for containerization, and deploy/manage containers through Azure containers, Azure Kubernetes Service (AKS) or other orchestration tools.
Implement and manage infrastructure using Terraform, ensuring a scalable, repeatable, and version-controlled setup.
Design, implement, and optimize CI/CD pipelines using GitHub Actions to automate build, test, and deployment processes.
Set up and manage comprehensive monitoring and logging solutions to ensure system performance, security, and availability.
Design and enforce security practices for cloud infrastructure, containerized environments, and CI/CD pipelines. Implement Identity and Access Management (IAM) policies, network security controls, encryption, and vulnerability assessments to protect sensitive data and prevent unauthorized access.
Work closely with software developers, system engineers, and other cross-functional teams to ensure DevOps practices are followed throughout the development lifecycle.
Proactively suggest improvements to infrastructure, processes, and automation to improve system efficiency, reduce costs, and enhance performance.