About the job
At CloudFactory, we are driven by a mission to harness the power of AI to create transformative impacts across the globe. By merging cutting-edge technology with a diverse and talented global workforce, we turn unusable data into actionable insights, fostering significant real-world change.
More than just a workplace, we are a vibrant global community built on strong relationships and the conviction that meaningful work can change lives. Our commitment to personal growth, continuous learning, and impactful service drives our efforts as we aim to connect one million individuals to meaningful employment and cultivate leaders worth following.
Our Culture
At CloudFactory, we strive to create an environment where everyone feels empowered, appreciated, and inspired to be their authentic selves. Our core values include:
- Mission-Driven: We prioritize creating both economic and social value.
- People-Centric: We are deeply invested in our team's development, health, and sense of community.
- Innovative: We welcome change and collaboratively seek better solutions.
- Globally Connected: We encourage collaboration among diverse cultures and viewpoints.
If you are enthusiastic about innovation, teamwork, and making a tangible difference, we would be thrilled to have you join us!
Role Overview
We are forming a select team of outstanding engineers to develop an AI Data Asset Management platform that assists organizations in managing and governing their AI/ML datasets, assets, and workflows within a unified system.
This platform empowers ML teams to efficiently organize training datasets, monitor model assets, orchestrate evaluation workflows, and ensure compliance with AI regulations, providing the necessary infrastructure for scaling reliable AI systems.
As a Senior Backend Engineer, your role will involve designing and constructing essential backend services in Go that drive the platform's data and workflow infrastructure. You will create scalable APIs, data services, and infrastructure components that support complex AI data workflows.
You will work closely with frontend engineers, product teams, and platform engineers to build dependable systems that enable ML teams to work with their data and models effectively.
The Engineering Challenge
This platform operates at the convergence of AI infrastructure, data management, and distributed systems.
You will contribute to the design of backend services that must:
- Scale to accommodate large datasets and distributed ML workflows
- Ensure robust observability and reliability in production environments
- Adapt to evolving governance and compliance requirements for AI systems
Engineers involved in this project will have the chance to influence key architectural decisions, balancing performance, developer experience, and platform scalability.
Core Responsibilities
- Design and implement high-performance backend services and APIs in Go
- Develop systems that support scalable and efficient AI data workflows
