[Hiring] L3 Software Engineer Platform @I.T. Solutions Provider

Role Description

This position must be remote from Guadalajara.

Qualifications

• 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.
• 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.

Requirements

• 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.
• 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.
• 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.