Top Tech Jobs & Startup Jobs

Designs, develops, integrates, and maintains scalable Salesforce applications across Sales, Service, Experience, and custom platforms. Builds Apex, LWC, Flow, and API-based solutions; troubleshoots data synchronization and system issues; supports CI/CD, testing, monitoring, code reviews, and release management. Collaborates with Data Engineering, Security, and Finance teams to deliver secure, reliable solutions within Salesforce platform limits.

Advise healthcare, product, engineering, and business teams on privacy, HIPAA, data protection, and emerging AI regulations. Own privacy workstreams, review privacy provisions in agreements, support policies and training, manage incidents and regulatory inquiries, monitor legal developments, and partner with compliance, security, and IT teams on risk-based solutions.

Develops scalable data models, Databricks pipelines, backend applications, ETL processes, and data ingestion systems. Partners with engineering, product, and business stakeholders on technical roadmaps; monitors and optimizes data systems for performance, reliability, and scalability. Provides technical leadership, mentors junior engineers, conducts code reviews, and builds secure solutions for sensitive healthcare data.

Lead the roadmap and delivery of an AI data platform supporting internal teams and external healthcare products. Manage ML and LLM platform workstreams across data ingestion, training, deployment, monitoring, and workflow optimization. Partner with AI engineers, researchers, data scientists, clinical leaders, and business stakeholders to define requirements, develop user stories, validate model performance, and turn proofs of concept into scalable production capabilities.

Develop scalable, secure, performant web applications and data pipelines for healthcare technology. Partner with engineering, product, and business stakeholders on technical roadmaps, use Agile practices, improve observability and reliability, and mentor junior engineers through coaching and code reviews. Responsibilities include database querying, technical decision-making, API development, data ingestion, cloud technologies, containerization, CI/CD, and handling sensitive data.

Build scalable full-stack applications integrating healthcare insights with browser-based and Windows EHR systems. Develop products using FHIR and HL7 interoperability standards, collaborate on technical roadmaps, and implement performant solutions. Mentor junior engineers, conduct code reviews, make technical decisions, and partner with engineering, product, and business stakeholders using Agile processes.

As a Principal Software Engineer, you will architect AI-enabled systems, mentor teams, and guide technical decisions for scalable products.

The Principal Engineer will architect and develop scalable AI-driven data platforms, mentoring engineers and aligning technical strategies with business goals.