Job Opportunities API

The Public Ledger of Openings

← Back to the ledger

Software Engineer

Qode
CompanyQode
CategoryEngineering
LocationUnited States
RemoteRemote
EmploymentFull-time
LevelNot stated
SalaryNot stated by the employer
Posted9 Jul 2026
Last verified30 Jul 2026
SourceEmployer career page (workable)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
Software Engineer – Platform Services Location: Remote, United States Workplace Type: Remote About the Role 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, and 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, and practical knowledge of integrating identity services into real-world applications. We are looking for individuals who embrace AI-assisted workflows as a core part of their development process, using AI tools as a force multiplier rather than an afterthought. Key Responsibilities 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 a
HOUSE AD986,449 openings. Erioun finds yours.Scored against your own profile, every hour.Try the radar →