About the Role
We are looking for a senior, AI-native engineer to serve as the technical lead and architect for a production
healthcare data platform used to manage clinical workflows and device data at enterprise scale. The
platform is a modern, API-first Drupal 11 / PHP 8.3 application (LAMP-based: Linux, MySQL, PHP) that
serves as the backend for a decoupled React frontend, processing data for hundreds of thousands of
patients and millions of clinical records in a SOC 2 / HITRUST-certified, PHI-handling environment.
This is a player-coach role. You will own architecture decisions, write code daily, and lead a team of junior
developers responsible for maintaining and extending the platform. The engineering workflow is already
deeply AI-assisted—Claude Code with project-specific agent configurations, AI-powered code review, and
code-intelligence tooling are part of daily development. You will own, govern, and evolve that AI-native
workflow while mentoring junior engineers into it safely and productively.
What You'll Do
Architecture & Technical Leadership
- Own architecture decisions and technical trade-offs for a large Drupal codebase with 20+ custom
modules, breaking ambiguous requirements into clear, deliverable solutions
- Lead, mentor, and grow a team of junior developers through code reviews, pairing, and structured
technical guidance
- Set and enforce engineering standards: strict typing, dependency injection, static analysis (PHPStan,
PHPCS), and meaningful automated test coverage (PHPUnit kernel tests, Cypress e2e)
- Plan and execute Drupal core and contrib upgrades, migrations, and security patching on a
compliance-critical production system
AI-Native Development Leadership
- Own and evolve an established AI-assisted engineering workflow built on Claude Code, including
project agent configurations, prompting standards, and AI-powered code review
- Define review and validation practices for AI-generated code—catching hallucinated APIs, subtle
bugs, security flaws, and over-engineering before they ship
- Enforce safe and compliant AI usage in a PHI environment: no protected health information or
proprietary data exposed to external models without appropriate controls
- Onboard and mentor junior developers in AI-assisted development—scaffolding, refactoring, testing,
debugging, and documentation—and measurably improve team delivery speed and quality
Platform & Integration Engineering
- Design and maintain API-first backend services: JSON:API, REST, JSON-RPC, and GraphQL
endpoints consumed by a decoupled frontend
- Build and maintain integrations with 10+ external vendor systems (EHR/device/CRM-class
integrations) using OAuth2, SAML, and OpenID Connect, with encrypted per-customer credentials
- Develop data pipelines and background processing: Migrate API pipelines, queue workers (Drupal
Queue API / Symfony Messenger), dead-letter queues, and scheduled jobs
- Work with search and analytics infrastructure (OpenSearch) ingesting nightly device telemetry and
serving on-demand clinical summaries
- Manage performance, caching (memcache), and scalability across Linux-based, AWS-backed
environments (S3, SES), collaborating with DevOps on Docker/DDEV-based local dev and Jenkins
CI/CD
What You Bring
Required
- 7+ years of professional software development experience, including leading or mentoring other
engineers
- Deep, current expertise in Drupal (10/11): Entity API, plugin system (attribute-based plugins),
hooks/event subscribers, Views, configuration management (Composer, Drush), and custom module
architecture
- Strong PHP 8.x skills with modern practices: strict types, dependency injection, PSR standards, and
comfort with static analysis tooling
- Experience running applications on the LAMP stack: Linux systems administration and MySQL at
scale
- Experience building and consuming APIs in a headless/decoupled architecture (JSON:API, REST,
GraphQL, or JSON-RPC)
- Demonstrated, hands-on experience using AI coding assistants—especially Claude / Claude
Code—in real-world production development, including agentic workflows
- Ability to critically review and validate AI-generated code, with sound judgment about when not to
rely on AI
- Responsible and secure use of AI tools in environments with sensitive or regulated data
- Experience with automated testing (PHPUnit; Behat or Cypress a plus) and a commitment to
maintainable test coverage
- Fluency with Git and PR-based review workflows
Strongly Preferred
- Experience in healthcare or another regulated domain—handling PHI/PII, audit logging, encryption
at rest, and compliance frameworks such as HIPAA, SOC 2, or HITRUST
- Experience with queue-based background processing and data migration pipelines at scale
(millions of records)
- Experience integrating third-party vendor APIs with OAuth2/SAML/OpenID Connect authentication
Nice to Have
- Experience with OpenSearch or Elasticsearch
- Experience with DevOps tooling: Docker, DDEV, Jenkins, or similar CI/CD
- Familiarity with AWS services (S3, SES) and caching layers (memcache, Redis, Varnish)
- Comfort in an Agile / sprint-based workflow with Jira or Linear
- Experience with the Anthropic Claude API, MCP tooling, or building agentic developer workflows
Benefits:
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
- Vision insurance
Work Location: Remote
