Job Description
CALIBRE Systems, inc., an employee-owned, mission focused solutions and digital transformation company is seeking a highly qualified Cloud/DevOps Engineer to provide hands-on Azure cloud engineering and DevOps support for AI-enabled applications and data products delivered within an existing governed Azure/UDAP environment. This position will be on-site, hybrid, or remote, at the discretion of the customer.
The role will support infrastructure-as-code, CI/CD, monitoring, secure cloud operations, managed database and AI service integration, and hosting of open-source analytics applications such as Apache Superset, while ensuring delivered products comply with role-scoped access, audit logging, security/ATO, documentation, UAT, and transition requirements.
The selected candidate will work closely with government staff, customer program offices, and delivery personnel to ensure delivered applications and data products meet customer specifications, acceptance criteria, role-scoped access requirements, and quality thresholds.
Responsibilities include, but are not limited to:
Support Azure cloud engineering within the existing UDAP Azure environment.
Build, deploy, monitor, and support AI-enabled applications and data products.
Support infrastructure-as-code, CI/CD, and monitoring practices.
Host and maintain open-source applications such as Apache Superset.
Support managed database and AI services used by the platform.
Support secure access controls, audit logging, and role-based/role-scoped access.
Support Security/ATO documentation inputs for delivered applications and products.
Provide documentation, configuration details, source code, and knowledge transfer for transition.
Required Skills
Azure Cloud Engineering
Azure cloud services
Managed database services
Managed AI services
Azure monitoring and operational support
DevOps
Infrastructure-as-code
CI/CD pipelines
Release/deployment support
Monitoring and troubleshooting
Application Hosting
Apache Superset or similar open-source platforms
Python-based application environments
Containerized application support
Security and Compliance
Role-based access control
Audit logging
Secrets/access management
Security documentation support
Data/AI Platform Support
PostgreSQL or other relational databases
Data pipelines and integration support
AI-enabled application support.
Desired Skills: (optional)
Experience with Model Context Protocol (MCP) or similar agentic tool-integration patterns.
Experience with MLOps/LLMOps tracking tools such as MLflow.
Experience with Terraform, Bicep, ARM templates, or similar IaC tools.
Experience with Azure DevOps or GitHub Actions.
Experience with Docker, Kubernetes/AKS, or Azure Container Registry.
Experience with Apache Superset administration.
Experience with PostgreSQL, pgvector, dbt, Azure SQL, Event Hubs, or Python ETL.
Experience supporting Azure OpenAI, Microsoft Foundry, RAG, embeddings, vector stores, or LLM-enabled applications.
Federal ATO/RMF/NIST experience.
Relevant certifications such as:
Microsoft Certified: DevOps Engineer Expert / AZ-400
Microsoft Certified: Azure Administrator Associate / AZ-104
Microsoft Certified: Azure AI Cloud Developer Associate / AI-200
Microsoft Certified: Azure AI Apps and Agents Developer Associate / AI-103
Cloud security certifications
Required Experience
Bachelor's degree in Computer Science or a related field, or equivalent work experience.
5+ years of cloud engineering experience.
Hands-on Azure cloud engineering experience, preferably in Azure Government.
Experience supporting infrastructure-as-code, CI/CD, monitoring, and application hosting.
Experience supporting managed database services, AI services, or data/analytics platforms.
Experience working in secure, governed, or Federal IT environments.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: RTX144a4c
- Position Id: d208cf4b0a2a2583ae1e760741c0b5b9
- Posted 3 days ago
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