Top reasons to work for our client:
- Our client provides full-service health care and personalized support to help you age well at home and in your community.
- Stable company with tremendous opportunity for career advancement
- Have your contributions recognized
- Work with an experienced and energetic team
- Comprehensive lucrative salary and benefits
Lets talk and discuss!
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Job Type : Full Time
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Location : Menlo Park California
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Pay : Great Pay Benefits Bonus
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Job Description
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What you will be doing:
- Lead end-to-end architecture development and delivery of APIs microservices and integration pipelines for internal and external healthcare systems.
- Act as the senior-most engineer for the team: designing components writing high-quality code troubleshooting complex issues and performing rigorous code reviews.
- Build scalable cloud-native solutions using Azure containerized workloads (Docker/Kubernetes) and modern integration frameworks.
- Implement repeatable MLOps patterns for model deployment monitoring and lifecycle management.
- Build prototype PoCs that validate new technologies workflows or AI-enabled automations before scaling to production.
- Lead and mentor a team of engineers.
- Ensure all development aligns with HIPAA PHI/PII-safe engineering and healthcare interoperability requirements as well as apply FHIR HL7 EDI and related healthcare interoperability patterns where applicable.
Experience you will need:
- Bachelors degree.
- Minimum of eight (8) years in software engineering with at least three (3) years in a team leader or senior engineering capacity.
- Minimum of two (2) years of hands-on experience with AI/ML Azure AI Foundry AI Foundry agents or related AI integration frameworks.
- Strong hands-on experience with Python and/or for API engineering and data integrations; known knowledge on Microsoft Azure tools stack is a must.
- Prior experience in healthcare interoperability or API-heavy environments is a must.
- Proficiency in REST/GraphQL API design microservices patterns authentication/authorization (OAuth2 JWT Entra ID) and event-driven architectures.
- Familiarity with MLOps tools (Azure ML MLflow Databricks) and container ecosystems.
- Experience with interoperability standards such as FHIR HL7 EDI or clinical integration workflows is highly preferred.
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Our client asked me to submit 3 great people within the next few days. We work directly with the hiring manager and can arrange interviews within a few days
|
#INDEH123Top reasons to work for our client:Our client provides full-service health care and personalized support to help you age well at home and in your community.Stable company with tremendous opportunity for career advancementHave your contributions recognizedWork with an experienced and energetic teamCo...
Top reasons to work for our client:
- Our client provides full-service health care and personalized support to help you age well at home and in your community.
- Stable company with tremendous opportunity for career advancement
- Have your contributions recognized
- Work with an experienced and energetic team
- Comprehensive lucrative salary and benefits
Lets talk and discuss!
|
Job Type : Full Time
|
Location : Menlo Park California
|
Pay : Great Pay Benefits Bonus
|
Job Description
|
What you will be doing:
- Lead end-to-end architecture development and delivery of APIs microservices and integration pipelines for internal and external healthcare systems.
- Act as the senior-most engineer for the team: designing components writing high-quality code troubleshooting complex issues and performing rigorous code reviews.
- Build scalable cloud-native solutions using Azure containerized workloads (Docker/Kubernetes) and modern integration frameworks.
- Implement repeatable MLOps patterns for model deployment monitoring and lifecycle management.
- Build prototype PoCs that validate new technologies workflows or AI-enabled automations before scaling to production.
- Lead and mentor a team of engineers.
- Ensure all development aligns with HIPAA PHI/PII-safe engineering and healthcare interoperability requirements as well as apply FHIR HL7 EDI and related healthcare interoperability patterns where applicable.
Experience you will need:
- Bachelors degree.
- Minimum of eight (8) years in software engineering with at least three (3) years in a team leader or senior engineering capacity.
- Minimum of two (2) years of hands-on experience with AI/ML Azure AI Foundry AI Foundry agents or related AI integration frameworks.
- Strong hands-on experience with Python and/or for API engineering and data integrations; known knowledge on Microsoft Azure tools stack is a must.
- Prior experience in healthcare interoperability or API-heavy environments is a must.
- Proficiency in REST/GraphQL API design microservices patterns authentication/authorization (OAuth2 JWT Entra ID) and event-driven architectures.
- Familiarity with MLOps tools (Azure ML MLflow Databricks) and container ecosystems.
- Experience with interoperability standards such as FHIR HL7 EDI or clinical integration workflows is highly preferred.
|
Our client asked me to submit 3 great people within the next few days. We work directly with the hiring manager and can arrange interviews within a few days
|
#INDEH123
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Job Location:
Yearly Salary:
$ 132181 - 174478
Posted on:
Yesterday
Vacancies:
1 Vacancy
