Azure Ops/AI Engineer

🕒 Ontem

⚔️ Virginia – Remoto

⚔️ Virginia – Remote

💵 $108.476 - $184.409 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🤖 Engenheiro de IA

👻 Score fantasma 0%

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ICF

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em 1969

💼 Consultoria

🏛️ Governo

🏥 Saúde

💰 $29.000.000 Grant em 2023-03

Consulting • Government • Healthcare

A ICF é uma empresa de consultoria global fundada há mais de 55 anos que faz parceria com governos, empresas e comunidades para oferecer soluções baseadas em dados e impulsionadas por tecnologia para desafios complexos do setor público e privado. Suas áreas de atuação incluem modernização digital, análise de dados, resiliência e adaptação, planejamento energético, programas federais de saúde, gestão de desastres e suporte a infraestrutura e transporte. A ICF fornece serviços de consultoria, implementação de programas e assessoria para promover resultados mensuráveis e fortalecer a resiliência comunitária.

Descrição

• Provide operational support for enterprise AI capabilities, including onboarding initiatives and users, configuring approved Azure services, and coordinating access, permissions, and dependencies • Translate AI and application requirements into secure, supportable cloud and infrastructure configurations across Azure environments • Design, implement, and maintain CI/CD workflows for AI and platform components using GitHub Enterprise, Jenkins, GitLab, or comparable technologies • Develop and maintain infrastructure as code using Terraform, Azure Resource Manager templates, AWS CloudFormation, or comparable tools • Implement logging, monitoring, alerting, and operational dashboards using Splunk, Azure Monitor, Databricks logging, AppDynamics, or comparable platforms • Coordinate root cause analysis across application, cloud, data, platform, and security teams; document defects, risks, corrective actions, and operational resolutions • Support security and compliance activities, including baseline configuration, vulnerability scanning, ATO documentation, change control, audit coordination, and remediation tracking • Evaluate emerging AI, cloud, and DevSecOps technologies through proof-of-concept environments and provide technically grounded recommendations • Support high availability, disaster recovery, backup, recovery, and continuity practices for AI and supporting infrastructure • Participate in Agile planning, stand-ups, reviews, and retrospectives; maintain architecture diagrams, runbooks, technical specifications, and governance documentation • Collaborate across cloud, application, security, data, and operations teams to deliver reliable services

🎯 Requisitos

• 3+ years of professional experience supporting data and AI technologies, including operational support for cloud-based AI or analytics capabilities • Experience supporting CI/CD pipelines and Agile work management using GitHub Enterprise, Jenkins, GitLab, Azure DevOps, or comparable tools • Experience implementing infrastructure as code using Terraform, Azure Resource Manager templates, AWS CloudFormation, or comparable technologies • Hands-on experience with Azure cloud infrastructure, including resource configuration, identity and access, networking, storage, monitoring, and service integration • Experience with DevSecOps, cloud security, compliance governance, vulnerability remediation, and production troubleshooting in enterprise or federal environments • Bachelor’s or master’s degree in computer science, engineering, information technology, or equivalent combination of education and experience • U.S. Citizenship required due to federal contract requirements • Must be able to satisfy FDIC personnel eligibility and background-investigation requirements • Candidate must reside in the U.S., be authorized to work in the U.S., and all work must be performed 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 experience with AI or machine learning environments involving Python, NLP, model serving, inference, or data preparation • Preferred experience with AWS SageMaker, AWS Bedrock, or comparable services • Preferred experience operating enterprise DevSecOps shared services and standardizing development or deployment environments across teams • Preferred experience with Kubernetes, OpenShift, Docker, Ansible, Artifactory, SonarQube, Fortify, OWASP tools, or comparable technologies • Preferred experience designing high availability and disaster recovery solutions across cloud or hybrid environments • Preferred experience with relational and nonrelational databases, including Oracle, SQL Server, PostgreSQL, DB2, MySQL, or comparable platforms • Preferred experience with performance tuning and observability using Splunk, Azure Monitor, Databricks logs, AppDynamics, NeoLoad, or similar tools • Microsoft Azure Certifications listed as desirable

🏖️ Benefícios

• Remote work • Reasonable accommodations for disabilities, disabled veterans, and sincerely held religious beliefs • Equal opportunity employment • Confidential accommodation support • Benefits offerings referenced under the Transparency in Coverage Act