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Software Engineer

Full-time

Qode

Role Description

We are seeking a mid-level Software Engineer to join our high-output Platform Services team. This role is crucial for building and maintaining the foundational systems that power identity, authentication, and integration capabilities across our multi-product SaaS platform. Our team operates lean, leveraging a combination of deep engineering expertise and AI-assisted tooling to achieve platform-scale impact.

As an engineer on this team, you will be expected to:

  • Deeply understand the systems you own.
  • Proactively identify and address potential issues.
  • Deliver solutions with a high degree of care to ensure downstream product teams remain unblocked.

The immediate focus will be on federated identity and authorization infrastructure, involving the development and extension of platform services essential for authenticating users, enforcing authorization, and managing access at scale.

A strong candidate will possess:

  • Hands-on experience with OAuth 2.0, OIDC, SAML, and JWT.
  • A solid understanding of authorization frameworks.
  • Practical knowledge of integrating identity services into real-world applications.
  • Embrace AI-assisted workflows as a core part of their development process.

Qualifications

  • 3-5 years of professional software engineering experience.
  • 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.
  • Proficiency in .NET or Python for backend service development.
  • Familiarity with modern API frameworks (e.g., .NET 9+, FastAPI).
  • Working knowledge of identity protocol mechanics.
  • Experience with multi-tenant SaaS integration patterns.
  • Familiarity with cloud platforms (AWS preferred).
  • Proficiency with standard development tooling: Git, CI/CD pipelines, containerization (Docker), and automated testing.
  • Active use of AI-assisted development tools as part of a daily engineering workflow.

Requirements

  • Design, implement, test, and release features end-to-end with limited guidance.
  • Independently identify edge cases and potential failure modes within assigned work.
  • Write clean, maintainable code and provide constructive, specific feedback during code reviews.
  • Proactively communicate blockers or ambiguities to the team.
  • Apply practical knowledge of federated identity standards.
  • Understand and reason about authorization frameworks, policy enforcement, and integration.
  • Reason clearly about token lifecycle, session management, and security implications.
  • Understand the mechanics of connecting distributed services.
  • Build and maintain integrations that are observable and fault-tolerant.
  • Write and work with API contracts with attention to versioning and backwards compatibility.
  • Actively use AI-assisted development tools to accelerate design, implementation, and validation.
  • Participate in building and improving AI-assisted workflows.
  • Stay current on evolving AI tooling and introduce new approaches to the team.
  • Write tests with sufficient coverage to catch regressions.
  • Contribute to operational health by monitoring shipped features.
  • Document systems and processes to reduce reliance on tribal knowledge.
  • Build and extend platform services for federated identity, authentication, and authorization.
  • Implement integrations with the centralized identity platform.
  • Support product teams with integration processes, debugging, and navigating edge cases.
  • Develop tooling, documentation, and examples for self-service integrations.
  • Design and implement backend service integrations using Python.
  • Participate in API design reviews.
  • Contribute to AI harness development to improve team velocity.
  • Share effective AI-assisted engineering patterns with the team.
  • Write unit, integration, and acceptance tests.
  • Instrument services for observability.
  • Participate in on-call rotations and incident response.
  • Participate in design discussions and code reviews.
  • Provide mentorship and review support to junior engineers.
  • Contribute to internal documentation, runbooks, and onboarding materials.

Benefits

  • Competitive salary and performance-based bonuses.
  • Flexible work hours and remote work options.
  • Health, dental, and vision insurance.
  • Retirement savings plan with company matching.
  • Professional development opportunities.

Company Description

We are committed to fostering an inclusive and diverse work environment where everyone can thrive. Our mission is to empower teams to deliver significant product value through innovative technology solutions.

Vacancy posted 6 days ago
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