Software Engineer

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qode.world

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

👥 HR Tech

🎯 Recruiter

Artificial Intelligence • HR Tech • Recruitment

qode. world is a company that leverages artificial intelligence to revolutionize the recruiting process. Their platform allows users to find candidates by sourcing data from billions of data points worldwide and provides data-driven insights. Users can connect with candidates directly through the platform, conduct customized AI-led interviews, and get comprehensive assessments. The service also integrates easily with LinkedIn, enhancing the talent pool and facilitating direct communication with candidates listed there. Qode. world offers additional recruiting services to assist in hiring for niche or senior roles. They are praised for their effectiveness in streamlining the hiring process and delivering quick results.

📋 Description

• 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 including OAuth 2.0, OIDC, SAML 2.0, and JWT. • Understand and reason about authorization frameworks, policy enforcement, and integration into upstream and downstream services. • Reason clearly about token lifecycle, session management, and the security implications of identity design choices. • Understand the mechanics of connecting distributed services in a multi-product platform environment. • Build and maintain integrations that are observable, fault-tolerant, and respectful of downstream consumers. • Write and work with API contracts (REST, event-driven patterns) with attention to versioning and backwards compatibility. • Actively use AI-assisted development tools (e.g., Claude Code, Codex) to accelerate design, implementation, and validation. • Participate in building and improving AI-assisted workflows and evaluation harnesses. • Stay current on evolving AI tooling and introduce new approaches to the team. • Write tests with sufficient coverage to catch regressions without over-engineering. • Contribute to operational health by monitoring shipped features, responding to issues, and following incidents to resolution. • 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, including token handling and session management. • 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 and common patterns. • Build with multi-product and multi-tenant scenarios in mind. • Participate in API design reviews. • Use AI development tools as an active part of the delivery workflow. • 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 (logging, metrics, alerting). • Participate in on-call rotations and incident response. • Participate in design discussions and code reviews, giving and receiving feedback constructively. • Provide mentorship and review support to junior engineers. • Contribute to internal documentation, runbooks, and onboarding materials.

🎯 Requirements

• 3-5 years of professional software engineering experience, with a 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). • 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 (Claude Code, Codex, or equivalent) as part of a daily engineering workflow.