Job description

Required Qualifications
Experience:

3-5 years of professional software engineering experience, with demonstrated ability to own and deliver features independently in a production environment
Hands-on experience building backend services in .NET or Python, including RESTful API development
Demonstrated experience implementing or integrating with federated identity systems using OAuth 2.0, OIDC, SAML 2.0, and/or JWT in production applications
Practical understanding of authorization frameworks: how policies are modeled, enforced, and integrated into application and platform services

Technical Skills:

Proficiency in .NET or Python for backend service development; familiarity with modern API frameworks (e.g., .NET 9+, FastAPI, etc.)
Working knowledge of identity protocol mechanics: authorization code flow, token introspection, claims-based access, assertion handling, and SSO logout behavior
Experience with multi-tenant SaaS integration patterns, including tenant-scoped configuration and user identity across application boundaries
Familiarity with cloud platforms (AWS preferred), including relevant managed services for networking, compute, and secrets management
Proficiency with standard development tooling: Git, CI/CD pipelines, containerization (Docker), and automated testing
Active use of AI-assisted development tools (GitHub Copilot, Claude, or equivalent) as part of a daily engineering workflow

Preferred Qualifications
Identity & Authorization Depth:

Prior experience working with a commercial or open-source identity platform (e.g., an OIDC provider, IAM system, or enterprise SSO solution) in an engineering capacity, not just as a consumer
Experience modeling and implementing fine-grained authorization: RBAC, ABAC, or policy-based access control systems
Familiarity with token security considerations including signing, expiration, revocation, and safe storage patterns

Regulated or Platform Environments:

Prior experience building software in a financial services, fintech, or otherwise regulated technology environment
Experience building internal platform capabilities used by other engineering teams, not just end-user-facing features
Exposure to SOC 2 or similar compliance frameworks from an engineering perspective

AI-Assisted Engineering:

Experience contributing to AI harnesses, evaluation pipelines, or tooling that improves engineering workflow throughput
Comfort using AI tools not just for code completion but for design exploration, test generation, and investigation

Education:

Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline, or equivalent demonstrated experience
Fluent in English and Spanish
This position must be remote from Guadalajara

L3 SW Engineer Platform

Role overview