Description

 

Mandatory skills:

•             Certified Azure architect

•             Extensive Cloverleaf and other relevant middleware experience

•             Extensive TCL scripting experience

•             Extensive HL7 v2 experience - certification preferred

•             Extensive HL7 FHIR experience – certification preferred

•             Experience integrating with various EHR FHIR servers

•             Experience implementing PACS integration

•             Experience implementing DICOM (single image, multi-part images, bulk, Zip, fileformats) Ingress, Ingestion of Metadata, Patient mapping, egress

•             Experience in working with API testing tools such as Postman, Bruno

•             7+ years’ experience in Microservices solution on Azure cloud and has led the definition, and implementation of an architecture road map

•             Must have at least 7+ years of experience understand various components and migrating applications to Azure Cloud

•             Should have led atleast one or two digital transformation projects end to end- preferably in medical domain

•             Prior experience in modernizing legacy applications, migrating monolithic code to microservices, performance tuning and application monitoring

•             Bachelor’s degree, or advance degree in Computer Science, or MS

•             Ability to work within a team and as an individual contributor in a fast-paced, changing Environment

•             Ability to work in a highly matrixed and geographically diverse business environment

•             Meticulous and methodical with high attention to detail

•             Out of box thinker and go getter attitude to solve problems and innovate rapidly

•             Solid communication and interpersonal skills

•             Ability to maintain regular and predictable attendance

•             Experience in Health Care industry and medical domain experience

•             Deep understanding of healthcare IT regulations (e.g., HIPAA, HITRUST, GDPR) and familiarity with common healthcare applications, medical devices, EMR and interoperability standards (HL7, USCDI, FHIR, DICOM) and OMOP CMD.

•             Expert understanding of Azure/AWS services and their application in Life sciences environments.

•             Experience with designing and deploying secure, scalable, and cost-effective cloud solutions for healthcare workloads.

•             Strong understanding of networking (OKTA, OAuth2.0, TLS1.2, Entra ID), security (APIM, SPN, RBAC), and experience with Jenkins CI/CD pipelines, Terraform scripts and automation tools.

•             Expert level understanding of data strategies & data architectures (e.g., Data Mesh and Data Fabric), modern software engineering best practices and the capabilities of cloud-based platforms.

•             Expert hands-on experience with Kubernetes, Apache Spark, Python, SQL, Data Warehouses (Redshift, etc.), data modeling, and data engineering practices.

Education

Bachelor’s degree