Azure Ops/AI Engineer

This is a fully remote position, open to applicants in Virginia.

📋 Description

• Deliver operational assistance for enterprise AI capabilities, which includes onboarding initiatives and users, configuring authorized Azure services, and managing access, permissions, and dependencies.

• Convert AI and application requirements into secure, supportable cloud and infrastructure configurations across Azure environments.

• Design, implement, and sustain CI/CD workflows for AI and platform components utilizing GitHub Enterprise, Jenkins, GitLab, or similar technologies.

• Create and manage infrastructure as code using Terraform, Azure Resource Manager templates, AWS CloudFormation, or equivalent tools.

• Establish logging, monitoring, alerting, and operational dashboards using Splunk, Azure Monitor, Databricks logging, AppDynamics, or other comparable platforms.

• Facilitate root cause analysis across application, cloud, data, platform, and security teams; document defects, risks, corrective actions, and operational resolutions.

• Assist with security and compliance tasks, including baseline configuration, vulnerability scanning, ATO documentation, change control, audit coordination, and remediation tracking.

• Assess emerging AI, cloud, and DevSecOps technologies through proof-of-concept environments and provide technically sound recommendations.

• Ensure high availability, disaster recovery, backup, recovery, and continuity practices for AI and supporting infrastructure.

• Engage in Agile planning, stand-ups, reviews, and retrospectives; maintain architecture diagrams, runbooks, technical specifications, and governance documentation.

• Collaborate with cloud, application, security, data, and operations teams to provide dependable services.

⛳️ Requirements

• Over 3 years of professional experience supporting data and AI technologies, including operational support for cloud-based AI or analytics capabilities.

• Familiarity with supporting CI/CD pipelines and Agile work management utilizing GitHub Enterprise, Jenkins, GitLab, Azure DevOps, or similar tools.

• Experience in implementing infrastructure as code using Terraform, Azure Resource Manager templates, AWS CloudFormation, or comparable technologies.

• Practical experience with Azure cloud infrastructure, encompassing resource configuration, identity and access, networking, storage, monitoring, and service integration.

• Knowledge of DevSecOps, cloud security, compliance governance, vulnerability remediation, and production troubleshooting within enterprise or federal environments.

• Bachelor’s or master’s degree in computer science, engineering, information technology, or an equivalent combination of education and experience.

• U.S. Citizenship is required due to federal contract obligations.

• Must meet FDIC personnel eligibility and background investigation requirements.

• Candidates must reside in the U.S., be authorized to work in the U.S., and all work must be conducted in the U.S.

• Preferred experience with Azure AI services, Azure Machine Learning, Azure OpenAI, Databricks, Azure Data Factory, Azure Data Lake Storage, Azure Synapse, or related services.

• Preferred background in AI or machine learning environments involving Python, NLP, model serving, inference, or data preparation.

• Preferred experience with AWS SageMaker, AWS Bedrock, or similar services.

• Preferred experience in managing enterprise DevSecOps shared services and standardizing development or deployment environments across teams.

• Preferred familiarity with Kubernetes, OpenShift, Docker, Ansible, Artifactory, SonarQube, Fortify, OWASP tools, or other comparable technologies.

• Preferred experience in designing high availability and disaster recovery solutions across cloud or hybrid environments.

• Preferred experience with relational and non-relational databases, including Oracle, SQL Server, PostgreSQL, DB2, MySQL, or similar platforms.

• Preferred experience in performance tuning and observability using Splunk, Azure Monitor, Databricks logs, AppDynamics, NeoLoad, or similar tools.

• Microsoft Azure Certifications are considered advantageous.

🏝️ Benefits

• Remote work opportunities.

• Reasonable accommodations for disabilities, disabled veterans, and sincerely held religious beliefs.

• Commitment to equal opportunity employment.

• Confidential accommodation support available.

• Benefits offerings as referenced under the Transparency in Coverage Act.