AlcorDevOps

DevOps / Platform Engineer

UkrainePosted 21 days ago

Seeking a senior DevOps / Platform Engineer to ensure production readiness, reliability, security, multi-tenancy, and cost optimization for an Azure-based healthcare SaaS platform. The role involves working closely with engineering, security, and leadership to operate a secure, compliant, and highly available platform.

Location: Ukraine

Responsibilities

Own production readiness across development, staging, and production environments
Design and implement safe deployment strategies (blue-green, rolling, canary)
Automated rollbacks
Health checks, monitoring, and alerting
Operate and maintain high-availability, fault-tolerant systems
Lead incident response, root-cause analysis (RCA), and preventive remediation
Establish SLOs, SLIs, and operational runbooks
Design and operate secure multi-tenant infrastructure for a healthcare SaaS platform
Implement tenant isolation across compute, network, data, configuration, and secrets
Enable tenant-aware deployments and customer onboarding
Ensure scalability without cross-tenant impact, data leakage, or performance degradation
Build and operate Azure-first infrastructure including AKS, App Services, Azure Functions, Azure SQL, Cosmos DB, Blob Storage, VNETs, private endpoints, NSGs, firewalls, ingress controls
Manage infrastructure using Infrastructure as Code (Terraform preferred; Bicep/ARM acceptable)
Implement and manage Azure security and identity services (Azure Entra ID, RBAC, managed identities, conditional access)
Utilize Microsoft Defender for Cloud, Azure Key Vault, enforce least-privilege access, support SOC 2 and HIPAA security controls
Build and maintain CI/CD pipelines using GitHub Actions and/or Azure DevOps
Enable zero-downtime deployments, versioned APIs, environment-specific configuration and secrets
Monitor and optimize Azure cloud spend across environments and tenants
Implement budgets, alerts, and cost attribution, environment and tenant-level cost visibility, right-size resources
Support AI-native workloads including Azure OpenAI services, document ingestion, event-driven pipelines, secure handling of PHI, scalable background processing
Support production onboarding of new healthcare customers, automate deployment, support integrations with payer platforms, EHRs, external vendors, act as technical escalation during customer launches