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Salesforce Cloud Engineer – Healthcare AI

Job in California, Moniteau County, Missouri, 65018, USA
Listing for: Ellipsis Health
Full Time position
Listed on 2026-10-15
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Data Engineering
Salary/Wage Range or Industry Benchmark: 140000 - 200000 USD Yearly USD 140000.00 200000.00 YEAR
Job Description & How to Apply Below
Salesforce Cloud Engineer – Healthcare AI Salesforce Cloud Engineer – Healthcare AI

Location:

Remote, located in the US;
Partial in-person, San Francisco Bay Area
Type:
Full-time
Department:
Engineering

Reports to:

Head of Engineering

We’re looking for a self-starter with strong experience working in the Salesforce Health Cloud ecosystem, who can maintain and continue to develop our Health Cloud ISV application product.

Responsibilities
  • Work with our Product team to understand the business requirements for our Salesforce
  • Health Cloud ISV application, and how it will interface with our core service infrastructure.
  • Maintain our existing ISV application, as well as design and build future functionality, in collaboration with our core infrastructure teams.
  • Coordinate with Salesforce case support, when support is needed.
  • Design, develop, and maintain scalable and secure Salesforce managed packages using
  • Salesforce Health Cloud, ensuring compliance with packaging best practices and Salesforce App Exchange security requirements.
  • Collaborate with engineering, QA, devops, and cross-functional teams to implement technical solutions within the Health Cloud ecosystem.
  • Develop and optimize Apex classes, Lightning Web Components (LWC), and custom metadata to deliver reusable and upgrade-safe features within the managed package.
  • Configure and enforce name spacing, version control, dependency management, and package deployment processes using tools like Unlocked Packages, SFDX, and CI/CD pipelines.
  • Conduct unit testing, integration testing, and performance tuning to ensure code quality and package reliability across Salesforce orgs.
  • Address App Exchange security review requirements and work closely with the Salesforce security team to ensure ongoing compliance.
  • Maintain clear and thorough technical documentation for packaged components, configuration steps, and deployment guides.
  • Stay current with the latest Salesforce platform releases, Health Cloud enhancements, and App Exchange trends.
Qualifications
  • 2+ years of experience developing, designing and implementing Salesforce Managed
  • Package / native apps inside Salesforce Health and Lifesciences Clouds
  • Strong understanding of the Salesforce data model, Lightning Platform, and App Exchange
  • Experience in packaging (managed/unmanaged), versioning, and namespace management
  • Strong proficiency in Apex (triggers, classes, test methods, batch jobs, etc.), platform events, asynchronous processing, and callouts, and experience in enforcing FLS/CRUD in Apex.
  • Experience with Salesforce DX (SFDX), Scratch Orgs, and source-driven development.
  • Experience building Lightning Web Components (LWC), Declarative Tools (Flows, custom objects and layouts) and Aura Components, and understanding of Lightning Design System (SLDS).
  • Proficiency with Salesforce Query Language (SOQL), Data Weave and Java.
  • Strong knowledge of Salesforce APIs (REST and SOAP), OAuth, and token-based authentication.
  • Salesforce Platform Developer II, Application Architect, System Architect certifications.
  • Preferred:
    • Experience with CumulusCI and Snowfakery
    • Salesforce Certified Technical Architect
Nice to Have
  • Experience with healthcare or medical applications, particularly in ETL workflows.
  • Knowledge of database testing, particularly PostgreSQL, including ETL flows for data extraction, reporting, and validation.
  • Exposure to monitoring and logging tools like Splunk, Datadog, or similar.
  • Knowledge of database testing, particularly PostgreSQL, including ETL flows for data extraction, reporting, and validation.
  • Familiarity with cloud-based data platforms such as Snowflake, Redshift, or Big Query.
  • Exposure to monitoring and logging tools like Splunk, Datadog, or similar for ETL pipeline monitoring.
  • Experience with data visualization tools like Tableau, Power BI, or Looker for validating reporting layers.
  • Knowledge of scripting languages (e.g., Python, Shell) for ETL automation and data validation.
  • Familiarity with Large Language Models (LLMs) and their testing implications.
Why Join Us?
  • Work on technology that improves access, equity, and outcomes in healthcare
  • Collaborate with a mission-driven team that blends AI innovation with clinical integrity
  • Help shape the future of how patients interact with care through ethical, high-impact design
  • As a health technology company, we reserve the right to run a background check on any applicant to which we extend an offer and to re-perform any such check at any time during the course of employment. Please know that there is no set policy on…
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