Software Engineer

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🕒 Julho 9

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qode.world

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11 - 50 funcionários

💼 Consultoria

📦 Logística

🤖 Inteligência Artificial

Consulting • Logistics • Artificial Intelligence

qode. world é uma empresa que utiliza inteligência artificial para revolucionar o processo de recrutamento. Sua plataforma permite encontrar candidatos ao fazer sourcing de dados provenientes de bilhões de pontos de dados no mundo todo e oferece insights baseados em dados. Os usuários podem se conectar diretamente com candidatos pela plataforma, conduzir entrevistas personalizadas lideradas por IA e obter avaliações abrangentes. O serviço também se integra facilmente ao LinkedIn, ampliando o banco de talentos e facilitando a comunicação direta com candidatos listados lá. A qode. world oferece serviços adicionais de recrutamento para apoiar contratações em posições de nicho ou sênior. A empresa é elogiada pela eficácia em agilizar o processo de contratação e entregar resultados rápidos.

Descrição

• 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.

🎯 Requisitos

• 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.