Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
$150к-205к/год
$150к$190кмедиана$230к
По похожим ролям (20) ~ $190к/год
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Хорошая вакансия
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Чётко очерченная роль в облачной инфраструктуре даёт опыт работы с современными Azure и Kubernetes и требованиями healthcare-комплаенса, а зарплата соответствует рынку; главное ограничение - работа доступна только из США.
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Только СШАСовременный стекЧёткие задачиЗарплата по рынкуHealthcare-сфера
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Lead Cloud Engineer (Azure) (Cloud Infrastructure/Healthcare Data): Designing and operating Azure enterprise data platforms, Terraform delivery pipelines, hybrid Azure–Google Cloud networking, and compliant platform services with an accent on infrastructure automation, Kubernetes, identity management, and protected health information controls. Focus on implementing three-plane architectures, configuring private multi-cloud connectivity, provisioning GPU-enabled AKS workloads, and enforcing HIPAA, data residency, encryption, and observability requirements.
Location: Remote; US-based storage and processing are required for healthcare data.
Salary: $150,000–$205,000 per year. Final leveling and salary range depend on experience, skills, interview outcomes, and geographic location.
Company
hirify.global is a fast-growing engineering and technology company with a data-first mindset that helps clients use advanced data and cloud platforms to drive business impact.
What you will do
Design, author, and maintain reusable Terraform modules and deployment pipelines for Azure enterprise data environments, including networking, security controls, resource groups, and service integrations.
Implement and manage three-plane architectures across Azure subscriptions and resource groups for high-assurance stage/production and low-assurance development/test environments.
Configure private hybrid connectivity between Azure and Google Cloud Advanced Data Lake services, including BigQuery, Cloud Storage, FHIR Store, and DICOM Store, without public internet exposure.
Deploy and configure AKS, Azure Database for PostgreSQL flexible server with pgvector, Blob Storage, Key Vault, Azure Container Registry, and Azure Artifacts.
Integrate Entra ID sign-in, RBAC, least-privilege permissions, SailPoint-governed groups, personal service accounts, and just-in-time privileged access.
Configure centralized Azure Monitor logging and monitoring while ensuring telemetry and audit logs exclude PHI.
Requirements
Expert-level experience with Microsoft Azure enterprise data platforms, hybrid multi-cloud architectures, and integrations with Google Cloud and Microsoft Fabric.
Proven experience deploying and operating Apache Airflow, Milvus, Neo4j operators, and custom workloads on AKS, including GPU node pool configuration.
Deep proficiency with Infrastructure-as-Code using Terraform and Spacelift or Terraform Enterprise.
Experience implementing CI/CD pipelines with Azure DevOps and GitHub Enterprise.
Strong working knowledge of HIPAA and PHI compliance controls, including US-based data storage and processing restrictions.
Knowledge of TLS 1.2+ encryption, at-rest key management, and secure SDLC practices.
Culture & Benefits
Remote workplace with a learning-oriented, entrepreneurial, and data-first environment.
Comprehensive health insurance.
Paid vacation/PTO, holidays, sick leave, parental leave, and bereavement leave.
401(k) employer match.
Employee referral bonuses.
Hiring process
Final leveling is determined during the interview process based on experience, skills, and interview outcomes.
Standard hiring verification may include background checks, employment verification, and other relevant checks.
AI tools may support application review and assessment, while final hiring decisions are made by humans.
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