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A remote Data & ML role at DoiT.
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Original listing text, shown exactly as published by the company.
DoiT runs on dozens of SaaS platforms spanning CRM, ERP, support, marketing, and billing - and the list keeps growing. Connecting them one integration at a time doesn't scale: point-to-point links multiply as the square of the systems, business logic gets trapped inside vendor scripts, and critical processes go dark the moment they break. Fusion is building the alternative.
That alternative - internally, Project Babylon - is a composable, event-driven platform: Packaged Business Capabilities that expose each domain (Customer, Billing, Support) as a clean, versioned API; a process orchestrator that runs business workflows as named, observable BPMN flows; and a canonical event log underneath. It turns a sprawl of vendor systems into a coherent foundation the whole company builds on. And because every capability is a stable, semantic API with narrow permissions and a full audit trail, AI agents become first-class consumers of the platform - not bolted-on scripts.
This is a high-ownership engineering role for builders who want real distributed-systems problems - event-driven architecture, reconciliation, idempotency, observability - and want to see their work land across the business within weeks. You'll ship end to end across a modern stack - Python and Go services on GCP Cloud Run, TypeScript/React surfaces, Pub/Sub, and BPMN orchestration - from shaping the brief through production operation. AI is core to how we work in two directions: we use Claude Code across the lifecycle (spec, build, review) so your time goes to design and judgment rather than boilerplate, and we build the platform so that agents can operate it safely. Engineering quality, correctness, and ownership stay firmly with you.
The work is concrete and varied - reconciling marketing leads into the CRM, giving Finance real-time forecasting instead of spreadsheet exports, turning a quarterly access audit into an observable flow that produces its own evidence. You'll have real room to shape how DoiT builds and operates its internal systems as we scale.
Typically 3-9 years of professional software engineering experience. Experience is a signal, not a gate - we care more about what you've shipped and how you think.
Are you a Do'er?
Be your truest self. Work on your terms. Make a difference.
We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally.
What does being a Do'er mean? We're all about being entrepreneurial, pursuing knowledge and having fun! Click here to learn more about our core values.
Sounds too good to be true? Check out our Glassdoor Page.
We thought so too, but we're here and happy we hit that 'apply' button.
Many Do'ers, One Team
DoiT unites as Many Do'ers, One Team, where diversity is more than a goal - it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success.
DoiT
Data & ML
12 open roles on Sydicom
DoiT is a global technology company specializing in cloud cost management and optimization for major cloud platforms. They provide expert consulting and proprietary tools to help businesses maximize their investments in Google Cloud and Amazon Web Services.
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