We are looking for a Senior DevOps Engineer to join our team on a greenfield Cloud Analytics Platform built for the healthcare industry. This is not a typical infrastructure role — you will be architecting a production-ready environment from scratch, implementing Privacy by Design, and building the secure foundation that allows AI to reason over complex medical data. If you enjoy clean tech, meaningful challenges, and want your work to have a real impact on healthcare education quality, this role is for you.
The Project A greenfield Cloud Analytics Platform focused on the healthcare industry, providing deep insights into medical simulation training data. The platform is being built to become the global industry standard for medical simulation reporting. You will be responsible for designing and delivering the entire Azure-based infrastructure — from networking and multi-tenant isolation to AI-native deployment and disaster recovery — supporting a production-ready MVP within 16 weeks.
Tech requirements:
Expert knowledge of Azure services: Azure Container Apps, Azure Database for PostgreSQL, Blob Storage, VNet, and network security.
Proven experience building automated CI/CD pipelines using GitHub Actions and Docker for containerization of .NET and React applications.
Proficiency in Infrastructure as Code (IaC) — Terraform or Bicep.
Deep understanding of Privacy by Design and GDPR implementation: encryption at rest (Azure Storage encryption / customer-managed keys via Key Vault), TLS 1.3 in transit, column-level encryption for PII, PII protection, and audit logging.
Experience setting up monitoring and alerting using Azure Monitor and Application Insights to meet performance SLAs (What you will do:
Design and deploy the Azure environment — including VPCs, managed databases, and container runtimes — to support a production-ready MVP within 16 weeks.
Support multi-tenant isolation at the infrastructure layer: network segmentation, secrets scoping, and encryption boundaries.
Configure and scale infrastructure for daily batch ingestion and historical data loads covering 7 years of simulation data.
Set up automated backup policies, encryption protocols, and finalize the Disaster Recovery (DR) plan to ensure platform resilience.
Support the deployment of the MCP (Model Context Protocol) Tool Server, enabling Claude AI to interact securely with the platform’s metrics.
Why this role stands out:
Build the secure “bridge” that allows AI to reason over complex medical data using the Model Context Protocol (MCP) in a real production environment.
Implement Privacy by Design from Day 1 — GDPR compliance, PII pseudonymization, and column-level encryption built into the core architecture from Phase 1.
Work on a project aimed at creating the gold standard for medical simulation reporting worldwide.
Clean, modern tech stack: .NET 10, React, PostgreSQL — no legacy code, no outdated infrastructure.
Why join Empeek? ✨ Challenging & meaningful products — complex architectures, modern technologies, and solutions that truly make an impact. Professional growth — personal development plan, mentorship, career maps, and opportunities to grow into new roles and responsibilities. Strong team culture — we share the same mission, values, and passion for what we do. Flexibility & ownership — freedom to choose your format and schedule, focus on results, and have a real impact on the company’s success.
What we offer Access to learning opportunities — internal and external training, certification reimbursement. 18 paid vacation days, 10 public holidays compensated, and up to 10 paid sick days. Partial compensation for English classes + free speaking club. Up to $180/year for sports activities. Mentorship and knowledge sharing — people you can really learn from. Career maps and growth plans to support your professional development. New equipment provision, and accounting support if needed. Competitive market-level salary with regular reviews. Ad
