Senior Full-Stack UI Developer (Angular / Django / SQL); Inperson Interview
Detroit, Michigan, United States of America
Contract
6 days ago
Key skills
JavaScriptTypeScriptPythonSQLAIMLDatabricksSparkAngularStorybookDjangoAWSTerraformKubernetesDockerEKSDynamoDBRDSPostgreSQLSwaggerOpenAPIRESTfulGitCI/CDCommunication
About this role
Role: Senior Full-Stack UI Developer (Angular / Django / SQL)
Location: Detroit, MI
Job Description:
- Experience 7 10 years of professional full-stack software engineering experience, with at least 4+ years building production Angular applications.
- Front-End Deep, demonstrable expertise in Angular (v12+), TypeScript, RxJS, component architecture, state management, and modern build tooling.
- JavaScript Core Strong working knowledge of JavaScript fundamentals closures, async/await, the event loop, performance profiling beyond framework-level familiarity.
- Backend Hands-on Django (Python) experience: Django REST Framework, ORM, migrations, authentication, and API versioning patterns.
- SQL Advanced SQL skills with PostgreSQL or Aurora; comfort with query optimization, indexing strategy, and joins across normalized schemas.
- AWS Practical experience integrating with AWS data services RDS / Aurora PostgreSQL and DynamoDB at minimum.
- API Design RESTful API design, OpenAPI/Swagger documentation, and secure service-to-service communication patterns.
- Engineering Hygiene Proficiency with Git, code review workflows, CI/CD pipelines, and modern testing practices (unit, integration, end-to-end).
- Communication Excellent written and verbal communication skills; able to operate independently in a distributed team and represent design decisions to senior stakeholders.Preferred Qualifications
- Prior experience in a healthcare payer, provider, or HealthTech environment exposure to prior authorization, claims, payment integrity, EDI, HL7/FHIR, or medical coding (ICD/CPT) is a strong plus.
- Working familiarity with Databricks, Spark, or modern lakehouse architectures.
- Experience surfacing AI/ML model outputs (prediction APIs, explainability data) inside production user interfaces.
- Knowledge of HIPAA, HITRUST, or SOC 2 control requirements as they apply to engineering practice.
- Exposure to containerization (Docker), Kubernetes/EKS, and infrastructure-as-code (Terraform) on AWS.
- Front-end design system experience (Angular Material, Storybook) and accessibility (WCAG 2.1) awareness.