Cloud Engineer

Cloud Engineer -

Frederick, MD

Location

Frederick, MD. 100% onsite.

Duration

6 months

Role Descriptions

Azure Cloud & DevOps Engineers/ SRE Engineer 1 Position10+ years of experience in Cloud Engineering| DevOps Engineering| and Site Reliability Engineering (SRE).Extensive experience supporting large-scale enterprise web applications and API platforms.Strong expertise in production operations| incident management| reliability engineering| automation| and platform governance.Deep hands-on experience with Azure cloud services| CI/CD tooling| infrastructure automation| and operational excellence practices.Experience with CI/CD pipelines| source control systems| containerization| Kubernetes| and automation frameworks.Given the nature of the engagement| we would prefer candidates who can work onsite from the office| be flexible for shifts also Remote support is not being considered at this time. Required skills summary Skill CategoryRequired Skills / TechnologiesCloud PlatformsMicrosoft Azure| Azure Networking| Azure Security ServicesDevOps & AutomationAzure DevOps| GitHub Actions| Bitbucket Pipelines| CI/CD Design & ImplementationContainer TechnologiesDocker| Kubernetes| Azure Kubernetes Service (AKS)Source ControlGitHub| Bitbucket| Git| FrogInfrastructure as CodeTerraformScriptingPowerShell| Bash| PythonMonitoring & LoggingAzure Monitor| Log Analytics| Application Insights| Datadog preferredWeb TechnologiesIIS| Nginx| Load Balancers| Reverse Proxies| REST APIs| Web Application ArchitectureStatic Code Analysis Sonar Qube

Essential Skills

Azure Cloud & DevOps Engineers/ SRE Engineer 1 Position10+ years of experience in Cloud Engineering| DevOps Engineering| and Site Reliability Engineering (SRE).Extensive experience supporting large-scale enterprise web applications and API platforms.Strong expertise in production operations| incident management| reliability engineering| automation| and platform governance.Deep hands-on experience with Azure cloud services| CI/CD tooling| infrastructure automation| and operational excellence practices.Experience with CI/CD pipelines| source control systems| containerization| Kubernetes| and automation frameworks.Given the nature of the engagement| we would prefer candidates who can work onsite from the office| be flexible for shifts also Remote support is not being considered at this time. Required skills summary Skill CategoryRequired Skills / TechnologiesCloud PlatformsMicrosoft Azure| Azure Networking| Azure Security ServicesDevOps & AutomationAzure DevOps| GitHub Actions| Bitbucket Pipelines| CI/CD Design & ImplementationContainer TechnologiesDocker| Kubernetes| Azure Kubernetes Service (AKS)Source ControlGitHub| Bitbucket| Git| FrogInfrastructure as CodeTerraformScriptingPowerShell| Bash| PythonMonitoring & LoggingAzure Monitor| Log Analytics| Application Insights| Datadog preferredWeb TechnologiesIIS| Nginx| Load Balancers| Reverse Proxies| REST APIs| Web Application ArchitectureStatic Code Analysis Sonar Qube

Skills

Digital

Microsoft Azure

Experience Required

8-10

Job Description

We are seeking an experienced Azure Cloud & DevOps / Site Reliability Engineer (SRE) with 10+ years of experience across Cloud Engineering, DevOps Engineering, Site Reliability Engineering, and enterprise production operations. The ideal candidate will have strong hands-on expertise with Microsoft Azure, Azure DevOps, CI/CD, Kubernetes/AKS, Terraform, automation, monitoring, and enterprise web/API platforms.

This role will focus on supporting large-scale enterprise applications and platforms while driving reliability, operational excellence, automation, incident management, and platform governance.

Key Responsibilities

• Support and maintain large-scale enterprise web applications and API platforms in Microsoft Azure environments.
• Manage and support cloud infrastructure with a focus on availability, reliability, security, and operational stability.
• Design, implement, maintain, and enhance CI/CD pipelines using Azure DevOps, GitHub Actions, and Bitbucket Pipelines.
• Support containerized workloads using Docker, Kubernetes, and Azure Kubernetes Service (AKS).
• Implement and maintain Infrastructure as Code (IaC) using Terraform.
• Automate operational and deployment activities using PowerShell, Bash, and Python.
• Support production operations, including incident management, troubleshooting, reliability engineering, automation, and platform governance.
• Monitor applications and infrastructure using Azure Monitor, Log Analytics, Application Insights, and preferably Datadog.
• Support web infrastructure technologies including IIS, Nginx, load balancers, reverse proxies, REST APIs, and web application architectures.
• Work with development and engineering teams to improve deployment processes and operational reliability.
• Integrate and support static code analysis using SonarQube.
• Participate in production support and be flexible to work in shifts based on business and operational requirements.

Required Skills

• 10+ years of experience in Cloud Engineering, DevOps Engineering, and/or Site Reliability Engineering (SRE).
• Strong hands-on experience with Microsoft Azure, including Azure Networking and Azure Security Services.
• Strong experience with Azure DevOps and designing and implementing CI/CD pipelines.
• Hands-on experience with GitHub Actions and Bitbucket Pipelines.
• Strong knowledge of Docker, Kubernetes, and Azure Kubernetes Service (AKS).
• Hands-on experience with Infrastructure as Code (IaC) using Terraform.
• Strong experience with Git, GitHub, and Bitbucket source-control environments.
• Scripting and automation experience using PowerShell, Bash, and Python.
• Experience with Azure Monitor, Log Analytics, and Application Insights.
• Experience supporting IIS, Nginx, Load Balancers, Reverse Proxies, REST APIs, and enterprise web application architectures.
• Strong experience with production support, incident management, reliability engineering, automation, and platform governance.
• Experience supporting large-scale enterprise web applications and API platforms.
• Experience with SonarQube for static code analysis.
• Datadog experience preferred.
• Must be willing to work onsite and support flexible shifts based on operational requirements.