Full Stack Engineer - Cloud & SaaS Integrations

About DoiT

DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state—from planning to production.

Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide.

The Opportunity

Cloud spend is no longer just AWS, Google Cloud, and Azure. Our customers now run a large and growing share of their technology spend through SaaS platforms, data clouds, and AI vendors—and every one of those vendors is an integration that brings another slice of their spend into view.

You'll own DoiT's Integrations Framework and the experience built on top of it. This is a chance to define what a great integration experience looks like: a customer connects a new vendor in minutes, sees at a glance that their data is flowing, and handles credential rotation, reconnects, and backfills themselves without thinking twice. On the framework side, you'll make adding the next vendor a small, well-understood piece of work rather than a project—so coverage grows as fast as the vendor landscape does.

You'll work AI-augmented from day one. Integration development is spec-driven work against constantly changing third-party APIs: one of the highest-leverage places to apply agentic AI tooling. We expect you to use it across your whole workflow and to have real opinions about where it earns its place.

Responsibilities

• Building new integrations: 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.
• Working AI-augmented: Use AI daily across your engineering workflow (exploring unfamiliar codebases and third-party APIs, prototyping, generating and reviewing code, debugging, writing tests, and producing documentation).
• Integration management experience: Build interfaces customers use to connect, configure, and trust their integrations with health/status visibility, actionable error states, and credential rotation.
• Self-service by default: Design self-service capabilities into the framework from the start (backfills, reconnects, and diagnostics).
• API-first: Build capabilities so they are fully accessible via APIs, enabling both human users and AI agents to drive the platform.
• End-to-end ownership: Own features end-to-end from proposal through spec, implementation, and maintenance.

Qualifications

• 3+ years of professional software engineering experience shipping and owning features in production.
• Strong TypeScript, including modern frontend development (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 (handling auth flows, pagination, rate limits, partial failures, breaking changes).
• Comfortable across the full stack from database to user interface.
• Working proficiency in SQL.
• Experience developing solutions in the cloud and using cloud services (GCP, AWS, or Azure).
• A user-facing instinct for operational tooling and actionable error messages.
• An AI-augmented working style with practical experience utilizing modern AI dev tools.
• Strong knowledge of software engineering practices, design patterns, and architectural principles.
• Excellent written and verbal communication skills in English.

Bonus Points

• 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 exports, AI vendor billing, FOCUS specification).
• Experience with Google BigQuery, or data pipeline 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.

Benefits

• Unlimited Vacation
• Flexible Working Options
• Health Insurance
• Parental Leave
• Employee Stock Option Plan (ESOP)
• Home Office Allowance
• Professional Development Stipend
• Peer Recognition Program