Senior DevOps Engineer (Azure)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior DevOps Engineer (Azure): Designing and scaling cloud infrastructure for healthcare data processing with an accent on security, automation, and compliance. Focus on building CI/CD pipelines, implementing Infrastructure as Code (Terraform), and managing Kubernetes (AKS) for sensitive medical imaging data.
Location: Remote from LATAM (Argentina, Colombia, Brazil)
Company
designs and delivers scalable digital solutions for global companies with a strong technical foundation and a product-oriented mindset.
What you will do
- Design, implement, and maintain highly available, scalable, and secure Azure cloud architectures.
- Build and manage CI/CD pipelines to ensure reliable and continuous software delivery.
- Implement Infrastructure as Code (IaC) using Terraform for automated and reproducible environments.
- Ensure compliance with security standards and regulations, specifically HIPAA and PHI.
- Define monitoring, logging, alerting, and cost optimization strategies across Azure environments.
- Collaborate with engineering and data teams as a cloud subject matter expert.
Requirements
- 5+ years of hands-on experience with Microsoft Azure in complex enterprise environments.
- 4+ years of experience with DevOps practices and CI/CD pipelines (Azure DevOps, GitHub Actions, or GitLab CI).
- 3+ years of experience with Infrastructure as Code tools, preferably Terraform, ARM, or Bicep.
- 3+ years of experience with Docker and Kubernetes (AKS).
- 3+ years of experience in scripting using Python, Bash, or PowerShell.
- 2+ years of experience working in regulated environments applying standards such as HIPAA.
Nice to have
- Experience with medical imaging and DICOM standards (Orthanc, dcm4che, PACS).
- Experience with large-scale data architectures or Real-World Data (RWD).
- Experience with Azure-native databases (Cosmos DB, Azure SQL) and performance optimization.
- Background collaborating with data engineering or machine learning teams.
Culture & Benefits
- 100% remote work arrangement.
- Long-term commitment with high level of autonomy and impact.
- Strategic, high-visibility role within a modern engineering culture.
- Collaborative international team and strong technical leadership.
- Career development and growth opportunities within the company.
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