Cloud and Things

Azure DevOps Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure DevOps Engineer with a contract length of over 6 months, offering a pay rate of $120,000 - $135,000 per year. Key skills include Azure expertise, CI/CD pipeline implementation, and experience with large-scale data warehouse deployments.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
613
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πŸ—“οΈ - Date
November 23, 2025
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
New York, NY 10007
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🧠 - Skills detailed
#Bash #Infrastructure as Code (IaC) #Storage #Cloud #Azure Active Directory #GDPR (General Data Protection Regulation) #Network Security #Vault #Automation #Deployment #Security #Azure Security #Data Processing #Monitoring #Azure #CLI (Command-Line Interface) #Synapse #Data Warehouse #Data Lake #Firewalls #Azure cloud #Scripting #Version Control #Terraform #Azure DevOps #Disaster Recovery #Docker #Kubernetes #Azure CLI (Azure Command Line Interface) #REST (Representational State Transfer) #GIT #DevOps #Compliance #AI (Artificial Intelligence) #Python #"ETL (Extract #Transform #Load)" #Logging
Role description
Our goal is to solve problems and deliver results for our clients. At Cloud and Things, you can be a part of transforming the public sector’s IT environment. Our team is on the forefront of helping to solve the government's most complex IT challenges. If you are seeking a role that offers the opportunity to work on rewarding projects, consider a career with Cloud and Things. β€’ This is an exempt position. Salary commensurate with experience β€’ Overview:β€― We are seeking an experienced Azure DevOps Engineer who will Design, implement, and maintain cloud infrastructure and DevOps pipelines for a data warehouse solution in Azure environment. Work as part of a DevOps team to setup and support application deployment in Azure cloud with strict government security and compliance requirements. Duties: Setup and configure Azure cloud infrastructure for data warehouse solution Implement CI/CD pipelines using Azure DevOps Configure Azure data services (Synapse, Data Lake, Storage) Implement Infrastructure as Code (ARM templates, Terraform, Bicep) Setup automated build and deployment processes Configure network security, firewalls, and VPNs per NYC requirements Implement monitoring, logging, and alerting solutions Setup Azure Key Vault for secrets management Configure Azure Active Directory integration and MFA Ensure compliance with NYC security policies and standards Implement backup and disaster recovery solutions Establish Express Route connection if required Mandatory Qualifications: 5+ years of experience in Cloud Infrastructure and DevOps Strong Azure expertise (Azure Administrator or Solutions Architect certification preferred) Experience with large-scale data warehouse cloud deployments Strong automation and scripting skills (PowerShell, Azure CLI, Python, Bash) Infrastructure as Code expertise (ARM Templates, Terraform, Bicep) Azure DevOps proficiency (Repos, Pipelines, Boards) Git and TFS version control Azure data services experience (Synapse, Data Lake, Data Factory) Security implementation (Azure Security Center, Azure Policy) Desirable Qualifications: Government project experience, preferably NYC Experience with NYC security compliance requirements Docker and Kubernetes knowledge Experience with ExpressRoute setup AppScan/Veracode integration experience Disaster recovery planning experience Cloud and Things complies with all applicable federal, state, and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race,β€―color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws.β€― AI-Assisted Resume Evaluation Notice Cloud and Things – Talent Management Notice to Candidates Cloud and Things utilizes artificial intelligence (AI) tools to assist our recruiting team in evaluating candidate applications for streamlining; consistency, efficiency, and thoroughness. All hiring decisions are ultimately made by our human recruiting professionals. How AI Is Used Our AI tools assist by: Analyzing resumes against job requirements Supporting our recruiters in candidate data evaluation Ensuring consistent review standards across all applications Important: AI serves as a support tool only. As noted above, all candidate selection and hiring decisions are made by experienced human recruiters. Your unedited resume will be processed by our AI tools as part of this evaluation. Your Data and Privacy Cloud and Things Data Handling: Your information is processed securely and used exclusively for recruitment purposes Cloud and Things may store your resume in our Applicant Tracking System (ATS) indefinitely for future job matching opportunities You may opt out of long-term ATS storage by emailing your name and your request to opt out of storing your resume in the ATS to: security@cloudandthings.com All personal information is handled confidentially in accordance with our privacy policy AI Tool Data Processing: AI processing data is retained for a maximum of 90 days, after which it is deleted All data sent to AI tools is encrypted in transit and at rest AI tools comply with applicable privacy laws including GDPR and CCPA Personal data is anonymized or minimized wherever possible during AI processing Your Participation By submitting your application, you acknowledge this notice and consent to AI-assisted evaluation as part of our recruitment process. You may opt out only by choosing not to submit your resume for consideration. Pay: $120,000.00 - $135,000.00 per year Experience: Cloud infrastructure and DevOps: 5 years (Required) Azure/DevOps/Data Services: 2 years (Required) Security implementation using Azure: 1 year (Required) large-scale data warehouse cloud deployment: 1 year (Required) Ability to Commute: New York, NY 10007 (Required) Work Location: Hybrid remote in New York, NY 10007