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.

Own and extend Aledade’s AI enablement platform, including the MCP Gateway, connector integrations, plugin marketplace, model gateway, observability, telemetry, and cost attribution. Build secure authentication and authorization flows, CI/CD and distribution tooling, evaluation harnesses, model routing, and agent collaboration features. Mentor engineers, document platform practices, run enablement sessions, triage requests, and support on-call operations for gateway and marketplace availability.

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.

Design, implement, and support Five9-based telephony and API integrations, lead contact center platform migrations and automation, manage SIP trunking and carrier connectivity, coordinate security and vendor assessments, monitor and troubleshoot telephony systems, and evaluate emerging AI and automation solutions to modernize contact center operations.

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.

The Employee Relations Partner advises leaders on performance management, workplace conflicts, conduct issues, policy violations, and complex investigations. The role partners with People and Legal teams, manages case documentation and metrics, recommends corrective actions, supports employee relations training, identifies process improvements, and stays current on employment law. Strong judgment, confidentiality, communication, conflict management, and knowledge of U.S. employment regulations are required.

Design, implement, and scale web and data pipeline solutions focused on generative AI and LLMs. Improve AI/ML infrastructure for model development, training, deployment, and prompt engineering. Partner with product and stakeholders to prioritize applied AI use cases, ensure PHI security and regulatory compliance, mentor junior engineers, and contribute APIs and integrations to embed generative AI into healthcare applications.