Azure Devops Engineer Must be Local

Job Title- Sr. DevOps Engineer

Job Location- Alpharetta, GA/ Oakland, CA (Resources must be local to Alpharetta, GA or Oakland, CA. Position is hybrid, 2-3-days onsite).

Mandatory skills- This role is for resources with expertise in Azure Cloud. Azure cloud, GitHub Actions, GitHub Enterprise Cloud (GHEC), Azure Kubernetes Service (AKS), Azure API Management (APIM), YAML scripting, Datadog instrumentation, and containerization technologies including Docker and Podman.

Job Description-

We are seeking a skilled and proactive Senior DevOps Engineer to lead automation, observability, and cloud-native deployment initiatives. The ideal candidate will have hands-on experience with GitHub Actions, GitHub Enterprise Cloud (GHEC), Azure Kubernetes Service (AKS), Azure API Management (APIM), YAML scripting, Datadog instrumentation, and containerization technologies including Docker and Podman. You will play a key role in building scalable CI/CD pipelines, managing containerized workloads, integrating Java build processes, and implementing robust monitoring and alerting systems.

Key Responsibilities:

• Design and maintain CI/CD pipelines using GitHub Actions, leveraging YAML scripting for workflow automation.

• Integrate Maven-based Java build processes into CI/CD workflows, ensuring artifact versioning, quality checks, and deployment automation.

• Administer and optimize GitHub Enterprise Cloud (GHEC) environments, including repository governance, access controls, and integrations.

• Deploy and manage containerized applications on Azure Kubernetes Service (AKS) using Helm charts and Kubernetes manifests.

• Build, manage, and troubleshoot container images using Docker and Podman for consistent and secure deployments.

• Configure and manage Azure API Management (APIM) for secure, scalable API delivery and lifecycle management.

• Implement Datadog instrumentation across services for real-time monitoring, distributed tracing, and log aggregation.

• Create custom Datadog dashboards, alerts, and monitors to ensure system health and performance.

• Integrate Datadog with CI/CD pipelines and Kubernetes clusters for full-stack observability.

• Collaborate with development and security teams to enforce DevSecOps best practices and compliance standards.

• Automate operational tasks and improve system reliability through scripting and tooling.

Required Qualifications:

• Bachelors degree in Computer Science, Engineering, or related field.

• 5+ years of experience in DevOps or Cloud Engineering roles.

• Strong proficiency in YAML scripting for GitHub Actions, Kubernetes, and cloud configurations.

• Hands-on experience with GitHub Actions and GitHub Enterprise Cloud (GHEC).

• Deep understanding of Azure Kubernetes Service (AKS) and container orchestration.

• Experience with Docker and/or Podman for container image creation, management, and deployment.

• Experience integrating Maven-based Java build processes into CI/CD pipelines.

• Experience with Azure API Management (APIM) for API lifecycle management.

• Proven experience with Datadog for monitoring, logging, and observability.

• Familiarity with IaC tools like Terraform, Bicep, and YAML-based templates.

• Strong scripting skills in Bash, PowerShell, or Python.

Desired skills:

• Azure certifications (e.g., AZ-400, AZ-104).

• Experience with Helm, Kustomize, or other Kubernetes deployment tools.

• Experience with Agile and DevOps methodologies.