Full Stack Engineer - Cloud & SaaS Integrations

Location
Our Full Stack Software Engineer will be an integral part of our R&D team. This role is based remotely as a full-time employee in the UK, Ireland, Estonia, the Netherlands, Sweden and Israel. We are also open to contractors in Eastern Europe and Portugal.

Who We Are
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. 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.