Senior Backend Engineer (Go)

At CloudFactory , we are a mission-driven team passionate about unlocking the potential of AI to transform the world.

By combining advanced technology with a global network of talented people, we make unusable data usable, driving real-world impact at scale.

More than just a workplace, we’re a global community founded on strong relationships and the belief that meaningful work transforms lives.

Our commitment to earning, learning, and serving fuels everything we do as we strive to connect one million people to meaningful work and build leaders worth following.

Our Culture At CloudFactory , we believe in building a workplace where everyone feels empowered, valued, and inspired to bring their authentic selves to work.

We are: Mission-Driven : We focus on creating economic and social impact.

People-Centric : We care deeply about our team’s growth, well-being, and sense of belonging.

Innovative: We embrace change and find better ways to do things together.

Globally Connected: We foster collaboration between diverse cultures and perspectives.

If you’re passionate about innovation, collaboration, and making a real impact, we’d love to have you on board! Role Summary We are assembling a small group of exceptional engineers to build an AI Data Asset Management platform that helps organizations manage and govern their AI/ML datasets, assets, and workflows in a single system.

The platform enables ML teams to organize training datasets, track model assets, orchestrate evaluation workflows, and ensure AI compliance, providing the infrastructure needed to scale reliable AI systems.

As a Senior Backend Engineer, you will design and build core backend services in Go that power the platform’s data and workflow infrastructure..

You will develop scalable APIs, data services, and infrastructure components that support complex AI data workflows.

You’ll collaborate closely with frontend engineers, product teams, and platform engineers to build reliable systems that enable ML teams to work efficiently with their data and models.