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Smvsoft LLC.

Salesforce Cloud Healthcare- AI

Hybrid

San francisco, United states

Junior

Full Time

18-02-2026

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Skills

Python Java Tableau Data Visualization PostgreSQL Splunk Salesforce CI/CD DevOps Monitoring Version Control Test power bi Shell Snowflake Large Language Models CI/CD Pipelines

Job Specifications

Salesforce Cloud Eng Healthcare- AI 

Location: Remote, located in the US; Partial in-person, San Francisco Bay Area

Type: Full-time W2

140k-$200k and benefits

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 AppExchange 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 namespacing, 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 AppExchange 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 AppExchange 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 AppExchange
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), DataWeave 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 BigQuery.
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.

About the Company

Smvsoft LLC is a boutique consulting firm based out in SF Bay Area providing consulting and staffing services in various aspects. Smvsoft LLC has been immensely successful in creating a global network of highly adept intelligent workforce that can help a company achieve their mission-critical projects and goals. Keeping pace with projects and being on the look out for the extremely talented individuals has become ever more challenging. Here is where Smvsoft LLC comes into play to bring the best suited talent for your company... Know more