Full Stack Engineer - Cloud & SaaS Integrations - Doit International

3+ years of professional software engineering experience, shipping and owning features in production Strong TypeScript , including modern frontend work - React preferred Hands-on experience with Go , or strong backend experience in another language (Python, Java, Node.js, C#) with genuine enthusiasm for ramping up in Go quickly Real experience designing and consuming REST APIs , and integrating third-party APIs with all the mess that entails: auth flows, pagination, rate limits, partial failures, breaking changes Comfortable across the stack. You may lean backend or lean frontend, but you can own a feature from the database through to the interface Working proficiency in SQL Experience developing solutions in the cloud and/or using cloud services (GCP, AWS or Azure) A user-facing instinct for operational tooling - you care whether the error message actually tells someone what to do next AI-augmented working style - you already use AI tools across your engineering workflow and can talk concretely about what you've got out of them Strong knowledge of software engineering practices, design patterns and architectural principles Demonstrated passion for creating high-quality web/SaaS apps Excellent communication skills in English, both written and verbal Self-organized, goal-oriented and self-motivated; confident, thorough and tenacious Experience building integration platforms or extensibility frameworks as a core part of a product Experience with cloud or SaaS billing data - AWS/GCP/Azure cost and usage exports, AI vendor billing data, marketplace billing, or the FOCUS specification Experience with Google BigQuery, or with data pipelines and orchestration tooling (Dagster, Airflow) Experience building AI-powered product features (LLM integration, intelligent automation) Exposure to FinOps practices or cloud financial management products BA/BS degree or equivalent practical experience

Building new integrations. This is the core of the role. Design and ship integrations against third-party billing and usage APIs - authentication, incremental sync, rate limits, error handling, schema drift - and invest in the Integrations Framework itself, along with testing harnesses and scaffolding, so the tenth integration takes a fraction of the effort of the first. Working AI-augmented. Use AI daily across the full span of your work - exploring unfamiliar codebases and third-party APIs, prototyping approaches, generating and reviewing code, debugging, writing tests, and producing documentation. Push on what agentic tooling can do for this codebase, and bring judgement about where AI raises velocity and where a human still has to hold the quality bar. Integration management experience. Build the interfaces customers use to connect, configure and trust their integrations: health and status visibility, actionable error states, credential and key rotation, and clear feedback when something needs attention. Self-service by default. Design self-service into the framework from the start - backfills, reconnects and diagnostics that customers and internal teams run themselves. API-first. Build capabilities so they're fully available through APIs, not just the UI. Both humans and agents should be able to drive the platform. Implementing features end-to-end. From proposal, through spec and implementation, to maintenance. You're expected to propose things you think would be a good addition, not wait for a spec.

3+ years of professional software engineering experience, shipping and owning features in production Strong TypeScript , including modern frontend work - React preferred Hands-on experience with Go , or strong backend experience in another language (Python, Java, Node.js, C#) with genuine enthusiasm for ramping up in Go quickly Real experience designing and consuming REST APIs , and integrating third-party APIs with all the mess that entails: auth flows, pagination, rate limits, partial failures, breaking changes Comfortable across the stack. You may lean backend or lean frontend, but you can own a feature from the database through to the interface Working proficiency in SQL Experience developing solutions in the cloud and/or using cloud services (GCP, AWS or Azure) A user-facing instinct for operational tooling - you care whether the error message actually tells someone what to do next AI-augmented working style - you already use AI tools across your engineering workflow and can talk concretely about what you've got out of them Strong knowledge of software engineering practices, design patterns and architectural principles Demonstrated passion for creating high-quality web/SaaS apps Excellent communication skills in English, both written and verbal Self-organized, goal-oriented and self-motivated; confident, thorough and tenacious Experience building integration platforms or extensibility frameworks as a core part of a product Experience with cloud or SaaS billing data - AWS/GCP/Azure cost and usage exports, AI vendor billing data, marketplace billing, or the FOCUS specification Experience with Google BigQuery, or with data pipelines and orchestration tooling (Dagster, Airflow) Experience building AI-powered product features (LLM integration, intelligent automation) Exposure to FinOps practices or cloud financial management products BA/BS degree or equivalent practical experience