Integrations Back-end Engineer

Design, build, and maintain integrations with third-party platforms and APIs (e.g., construction ERPs, Microsoft and Google ecosystems, email and calendar providers, enterprise identity systems)

Implement OAuth 2.0 / OpenID Connect flows, secure token management, webhooks, and bidirectional data sync

Design queue-driven systems handling retries, rate limits, partial failures, backpressure, and eventual consistency

Build scalable backend services (e.g., Node.js, TypeScript)

Build comprehensive unit, integration, and end-to-end tests

Build and review production PRs, identifying architectural, security, performance, and maintainability issues in both human and AI-generated code

Apply modern AI engineering practices (e.g., specs, coding agents, AI editors, structured implementation, and review workflows) to increase development velocity

Own complex and ambiguous engineering problems from requirements through production

Work directly with customers, product managers, engineers, and external partners to translate requirements into technical solutions

6+ years of back-end development experience

Experience with Node.js

Experience with AI-assisted engineering workflows (e.g. spec-driven development, agentic development, Cursor, Claude Code, Codex, Windsurf)

Strong back-end integration experience, especially between business systems, like an ERP and a CRM

Experience reviewing and validating AI-generated code against strong engineering standards

Deep understanding of context engineering and task decomposition for coding agents

Experience with JavaScript/TypeScript

Experience with back-end frameworks (e.g. Express.js, NestJS)

Experience building and maintaining third-party API integrations

Experience with OAuth 2.0 / OpenID Connect, REST APIs, webhooks and token lifecycle management

Experience with event-driven systems and message queues (e.g. AWS SQS), including retries, dead-letter queues and backpressure

Experience with relational databases and ORMs (e.g. PostgreSQL, TypeORM)

Experience with cloud platforms and containers (e.g. AWS, Docker)

Ability to architect resilient distributed systems that depend on unreliable third-party APIs

Ability to explain where AI agents succeed, where they fail, and how their output is kept production-ready

Proficiency with testing, debugging, code review and PR development

Deep knowledge of OOP, SOLID and software design principles

Strong communication skills in both spoken and written English, with confidence in direct customer conversations

Startup experience

Experience with SAML 2.0, Microsoft Entra ID (Azure AD) or SCIM

Experience with Microsoft Graph and/or Google Workspace APIs

Experience integrating complex domain-specific platforms (e.g. construction software, ERPs, CRMs)

Experience developing internal AI engineering standards, tooling or workflows

Bachelor's Degree in Computer Engineering, Computer Science, or equivalent