Cloud Engineer

ANALYTICA
Bethesda, MD, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Agile Methodology Artificial Intelligence Business Analytics Applications Data Analysis Application Performance Management Microsoft Azure Backup Devices Cloud Computing Cloud Computing Security Cloud Engineering Cloud Storage Code Review
+53 more
Collaborative Software Continuous Integration Information Engineering DevOps Disaster Recovery Domain Name System (DNS) Github Subnetting Python (Programming Language) Key Management Network Security Log Analysis Machine Learning SQL Azure Routing Network Segmentation Windows PowerShell Scrum Methodology Role-Based Access Control Azure Active Directory Azure Machine Learning Azure Data Lake Security Software Software Deployment Systems Integration Data Logging Scripting Load Balancing Azure Data Factory Cloud Monitoring System Availability Azure Powershell Firewalls (Computer Science) Git Microsoft Fabric Containerization Infrastructure Automation Frameworks Information Technology Bicep Enterprise Integration Azure AKS Data Management Machine Learning Operations Terraform Azure Synapse Analytics Software Version Control Data Pipelines Devsecops Azure Resource Manager Docker Key Vault Jenkins Databricks

Job description

The Cloud Engineer will work closely with data engineers, software engineers, architects, cybersecurity professionals, and government stakeholders to provision and operate Azure resources that support data pipelines, analytics platforms, applications, and AI/ML workloads. The ideal candidate is comfortable working in a regulated environment and has strong experience with Azure infrastructure, Infrastructure as Code, CI/CD, networking, security, and cloud operations., * Design, deploy, configure, and maintain Azure cloud infrastructure supporting data engineering, analytics, application, and AI/ML workloads.

  • Provision and manage Azure resources including Azure Virtual Networks, subnets, NSGs, storage accounts, Azure Key Vault, Azure SQL, Azure Kubernetes Service (AKS), Azure Monitor, and Azure Compute services.
  • Build and maintain CI/CD pipelines using Azure DevOps and/or GitHub Actions to automate infrastructure and application deployments.
  • Configure and manage Azure networking, including VNets, private endpoints, DNS, routing, firewalls, load balancing, and connectivity between cloud resources and external environments.
  • Implement cloud security controls including RBAC, managed identities, secrets management, encryption, network segmentation, and least-privilege access.
  • Support the secure integration of Azure infrastructure with data platforms such as Azure Databricks, Azure Data Factory, ADLS Gen2, Synapse Analytics, and Azure SQL.
  • Partner with Data Engineers to ensure the underlying cloud infrastructure supports reliable, scalable, and performant data pipelines and analytics workloads.
  • Support Databricks infrastructure and workspace integrations, including networking, identity, access controls, compute configuration, and connectivity to Azure resources.
  • Configure monitoring, logging, alerting, and operational dashboards using Azure Monitor, Log Analytics, Application Insights, and related Azure services.
  • Troubleshoot infrastructure, networking, deployment, performance, and availability issues across development, test, and production environments.
  • Automate routine infrastructure and operational processes using PowerShell, Azure CLI, Python, or similar scripting tools.
  • Implement cloud cost-management and optimization practices, including resource monitoring, right-sizing, tagging, and appropriate use of compute and storage.
  • Support disaster recovery, backup, high availability, and business continuity requirements for cloud-hosted workloads.
  • Maintain technical documentation for cloud environments, infrastructure configurations, deployment processes, and operational procedures.
  • Contribute to cloud architecture and engineering standards and help identify opportunities to improve scalability, reliability, security, and automation.
  • Work within Agile teams and participate in sprint planning, technical discussions, code reviews, demonstrations, and troubleshooting activities.
  • Support compliance and security requirements associated with federal cloud environments and applicable agency policies and standards., To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.
  • Application Review: AI tools may help identify skills and experiences relevant to the role.
  • Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.

By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.

When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

Requirements

  • U.S. citizenship with the ability to obtain a U.S. Federal security clearance.
  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field, or equivalent professional experience.
  • 3+ years of experience in cloud engineering, DevOps, infrastructure engineering, or a related field.
  • 3+ years of hands-on experience with Microsoft Azure.
  • Experience deploying and managing Azure infrastructure, networking, security, and compute resources.
  • Experience with Infrastructure as Code, using Terraform, Bicep, ARM templates, or similar technologies.
  • Experience developing and maintaining CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, or similar tools.
  • Proficiency with Azure CLI and/or PowerShell for cloud administration and automation.
  • Experience with Azure identity and security concepts including Microsoft Entra ID, RBAC, managed identities, Key Vault, private endpoints, and network security controls.
  • Experience troubleshooting cloud infrastructure, deployments, networking, and application/platform issues.
  • Experience working with Git-based source control and collaborative software development practices.
  • Strong understanding of cloud networking concepts including VNets, subnets, routing, DNS, firewalls, load balancing, and private connectivity.

Preferred Qualifications

  • Experience supporting Azure Databricks, Azure Data Factory, ADLS Gen2, Synapse Analytics, or Azure SQL environments.
  • Experience supporting federal, government, or other highly regulated environments.
  • Experience with Azure Policy, Microsoft Defender for Cloud, Azure Monitor, Log Analytics, and Microsoft Purview.
  • Experience with containerization technologies such as Docker and Kubernetes/AKS.
  • Experience with Python or other scripting languages for automation.
  • Experience implementing cloud security and compliance controls aligned with FedRAMP, NIST, or other federal security frameworks.
  • Experience with CI/CD and DevSecOps practices, including automated security and compliance checks.
  • Experience supporting machine learning or AI workloads in Azure, including Azure Machine Learning or MLflow.
  • Experience with cloud cost management and FinOps practices.
  • Azure certifications such as AZ-104 (Azure Administrator Associate), AZ-305 (Azure Solutions Architect Expert), or AZ-400 (DevOps Engineer Expert).
  • Experience working in Agile/Scrum development environments.

Benefits & conditions

Analytica has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match., Target Salary* What level of government security clearance do you hold? If applicable, please list any Federal agencies you currently hold a clearance for? LinkedIn Profile* Where did you hear about Analytica?* Do you acknowledge and agree that your application may be reviewed by AI-assisted tools, and that interviews may be recorded or summarized using AI notetakers?* Yes, I acknowledge and agreeNo, I do not agree The following questions are entirely optional. To comply with government Equal Employment Opportunity and/or Affirmative Action reporting regulations, we are requesting (but NOT requiring) that you enter this personal data. This information will not be used in connection with any employment decisions, and will be used solely as permitted by state and federal law. Your voluntary cooperation would be appreciated. Learn more. Gender Race/Ethnicity, Invitation for Job Applicants to Self-Identify as a U.S. Veteran

  • A “disabled veteran” is one of the following:
  • a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or
  • a person who was discharged or released from active duty because of a service-connected disability.
  • A “recently separated veteran” means any veteran during the three-year period beginning on the date of such veteran’s discharge or release from active duty in the U.S. military, ground, naval, or air service.
  • An “active duty wartime or campaign badge veteran” means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.
  • An “Armed forces service medal veteran” means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

About the company

About ANALYTICA: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. Founded in 2009 and headquartered in Bethesda, MD, the company is an established SBA small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider.

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