Azure Systems Administrator- SRE & Data Solutions Architect

Type of Requisition: Regular

Clearance Level Must Currently Possess: Secret

Clearance Level Must Be Able to Obtain:
Secret

Public Trust/Other

Required:

None

Job Family:
Software Engineering

Job Qualifications:

Skills: Azure Data Lake, Azure Dev Ops, Microsoft Azure, Site Reliability Engineering

Certifications: None

Experience: 10+ years of related experience

US Citizenship

Required:

Yes

We are seeking an experienced FSDS Azure Systems Administrator- SRE & Data Solutions Architect to support and maintain Microsoft Azure Government (IL5) cloud environment. As a technical leader, this role ensures seamless integration of Azure services to meet mission objectives and modernize cloud operations while reducing technical debt and fostering system resiliency. The goal is to design, implement, and maintain a highly secure, scalable, and efficient Microsoft Azure Government (IL5) cloud environment while supporting advanced data solutions, Site Reliability Engineering (SRE) practices, and compliance with DoW Cloud Computing SRG, NIST 800-53, and FedRAMP High standards.

The position drives innovation through the adoption of AI/ML, Dev Ops, and Infrastructure as Code (IaC) techniques while ensuring cloud optimization, automation, and data security.

The ideal candidate has deep technical expertise in Azure Government environments, with a strong focus on regulatory compliance, cloud optimization, and advanced data solutions leveraging AI/ML. They excel in implementing SRE practices, Infrastructure as Code (IaC), and automation to drive scalability, resiliency, and operational efficiency while maintaining a robust security posture. As a collaborative leader, they foster innovation, mentor teams, and ensure seamless delivery of mission‑critical cloud and data solutions.

If this sounds like you and you'd love to grow and learn with a team that's dedicated to excellence and a company that's committed to your advancement, then we'd love to hear from you!

• Deliver advanced expertise in Azure cloud technologies, Site Reliability Engineering (SRE) practices, and data solutions. This includes designing, building, and optimizing APIs, implementing robust identity and access management (IAM) systems, and establishing stringent data security protocols to protect sensitive information.
• Translate program and organizational visions into comprehensive technical architectures across Levels 0-3, leveraging tools like Microsoft Visio, Lucidchart, and Azure Architecture Center.
• Architect and manage resilient Azure environments that emphasize high availability, disaster recovery, and performance optimization using tools such as Azure Monitor, Application Insights, and Log Analytics.
• Provide hands‑on leadership and mentorship to teams, enabling seamless adoption and proper utilization of advanced Azure services, such as Azure Kubernetes Service (AKS), Azure Data Factory, Logic Apps, and Cosmos DB.
• Drive adoption of Infrastructure as Code (IaC) tools, such as Terraform, ARM templates, and Bicep, to automate deployment pipelines and enforce configuration consistency across environments.
• Implement and standardize Dev Ops practices utilizing Azure Dev Ops, Git Hub Actions, and CI/CD pipelines to ensure rapid and reliable delivery of applications and updates.
• Lead efforts to optimize database performance in Azure SQL, Postgre
  
  SQL, and Cosmos DB environments, while ensuring efficient data structuring, warehousing, and analytics capabilities.
• Conduct detailed technical training sessions and workshops to upskill team members on Azure services, Dev Ops best practices, and the latest technologies.
• Design and deploy self‑healing workflows for increased system reliability and efficient incident recovery.

• Design and implement data‑centric solutions using Azure services such as Data Factory, Synapse Analytics, and Azure Data Lake.
• Support the integration of AI/ML workloads using Azure Machine Learning services, leveraging cloud optimization for scalable processing and analysis.
• Drive the adoption of serverless computing and event‑driven architectures for advanced data solutions.