Arcadia is dedicated to improving healthcare outcomes through better data and smarter technology. The Principal Software Engineer will take technical ownership of the User Management system, leading the rearchitecture and implementation of a secure access control framework while driving the adoption of AI-augmented engineering practices across the team.
Responsibilities:
- Leading the rearchitecture and modernization of the User Management platform — authentication (Auth0, SAML 2.0, OAuth2, JWT), authorization, access control, and user provisioning across Arcadia products
- Building backend services and APIs across a polyglot stack (TypeScript/NestJS, Go, Python) supporting secure, multi-tenant access models
- Owning Auth0 tenant management, cross-application SSO, and session infrastructure — including SAML integrations, identity provider relationships, and Hydra session management
- Managing cloud infrastructure through Infrastructure-as-Code (Terraform/Terragrunt) and AWS-native services (Lambda, API Gateway, DynamoDB, Cognito, SNS)
- Defining SLOs and designing telemetry for key features, ensuring robust monitoring, canary, and standard rollout strategies — with shared ownership of on-call reliability
- Partnering with cross-functional stakeholders — including Product, Security, and SRE — to ensure alignment between technical execution and organizational priorities
- Providing leadership, mentorship, and clarity in complex, ambiguous problem spaces
Requirements:
- 10+ years of professional full-stack software engineering experience with a focus on backend and distributed systems
- Proven success building and scaling identity and access management systems, including authentication (SAML 2.0, OAuth2, JWT) and fine-grained authorization frameworks
- Expertise in TypeScript, Node.js/NestJS, and modern React/Angular development for full stack delivery
- Hands-on experience with agentic AI-assisted development — actively using agentic coding tools, context-engineered environments, and AI-augmented workflows, with a track record of independently shipping AI-native tooling and defining how teams leverage AI strategically
- Strong command of cloud architecture (AWS preferred) and IaC practices with Terraform
- Deep experience with relational and NoSQL data stores, designing for vertical & horizontal scalability and high availability
- Demonstrated ability to own complex systems from design through rollout and post-release operation, with strong attention to quality and reliability
- Strong communication, collaboration, and architectural reasoning skills — able to work across engineering, product, SRE, and security teams while balancing pragmatism with long-term technical health
- Experience modernizing identity and access systems or other critical, cross-cutting platform services
- Familiarity with API gateway design, centralized JWT validation, and event-driven architectures
- Exposure to data streaming or message-driven systems (Kafka, Kinesis, SNS/SQS)
- Experience in healthcare technology, HIPAA compliance, or other regulated data environments
- Polyglot engineering experience — comfortable working across multiple languages and frameworks (e.g., Python, Java, Go) when solving complex distributed system challenges
- Experience building internal developer tooling, custom agents, or platform-level AI integrations that go beyond individual productivity — shaping how an engineering organization adopts and scales AI-assisted development