Senior DevOps Engineer: Cloud-Native CI/CD & Observability

Shrive Technologies LLC

Alpharetta (GA)

On-site

USD 120,000 - 150,000

Full time

14 days+

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Qualifications

  • Bachelor's 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.

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 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.

Skills

GitHub Actions
GitHub Enterprise Cloud (GHEC)
AKS (Azure Kubernetes Service)
Docker
Podman
Maven-based Java CI/CD
Datadog monitoring
IaC (Terraform, Bicep)
Scripting (Bash/PowerShell/Python)

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Helm
Kustomize
Terraform
Bicep
Azure APIM
Datadog

Job description

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.
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