Cloud/DevOps Engineer
CALIBRE Systems, Inc.
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Job summary
CALIBRE Systems, Inc. seeks a Cloud/DevOps Engineer to provide hands-on Azure cloud engineering and DevOps support for AI-enabled applications and data products in a governed Azure/UDAP environment.
This role is on-site, hybrid, or remote at the discretion of the customer, and will collaborate with government staff to ensure security, audit logging, and compliant deployment across CI/CD, IaC, and analytics hosting such as Apache Superset.
Qualifications
- Bachelor's degree in computer science or related field.
- 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 hosting.
- Experience supporting managed database services, AI services, or data/analytics platforms.
- Experience working in secure, governed, or Federal IT environments.
Responsibilities
- 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.
Skills
Education
Tools
Job description
Category
Information Technology
Job Location
Washington, District of Columbia
Tracking Code
5448
Position Type
Full-Time/Regular
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.
- 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.
- 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.
- 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
- 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.
CALIBRE and its subsidiaries are an Equal Opportunity Employer and supports transitioning service members, veterans and individuals with disabilities.
We offer a competitive salary and full benefits package.
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