CloudFactory
Senior Backend Engineer (Go)
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About CloudFactory
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.
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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.
The Engineering Challenge
This platform sits at the intersection of AI infrastructure, data management, and distributed systems.
You will help design backend services that must:
- Scale to support large datasets and distributed ML workflows
- Provide strong observability and reliability in production environments
- Support evolving governance and compliance requirements for AI systems
Engineers on this project will have the opportunity to shape key architectural decisions, balancing performance, developer experience, and platform scalability.
Core Responsibilities
- Design and develop high-performance backend services and APIs in Go
- Build systems to manage datasets, model assets, metadata, and workflow orchestration.
- Develop reliable services that support AI/ML evaluation pipelines and human-in-the-loop workflows.
- Implement high-performance APIs used by frontend applications and internal services.
- Design backend components with scalability, reliability, and observability in mind.
- Contribute to system architecture decisions and technical design discussions.
- Write clean, maintainable, and well-tested code following modern engineering practices.
- Participate in code reviews and continuous improvement of engineering standards.
Additional Responsibilities
- Investigate and resolve production issues and performance bottlenecks.
- Improve system reliability, monitoring, and observability.
- Contribute to CI/CD pipelines and automated testing frameworks.
- Support the evolution of backend architecture as the platform scales.
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Must Have
- Strong experience building backend systems using Golang
- Experience designing and building scalable APIs and backend services
- Strong understanding of distributed systems and backend architecture
- Experience working with SQL databases
- Hands-on experience with CI/CD pipelines, automated testing, and deployment workflows
- Familiarity with cloud infrastructure (AWS)
- Experience implementing observability and monitoring solutions (e.g., Grafana or similar)
- Strong experience with AI driven SDLC
- Ability to work effectively in a distributed engineering team
Nice to Have
- Experience with Python
- Experience building data platforms, analytics systems, or developer infrastructure
- Familiarity with AI/ML platforms or ML operations workflows
- Experience supporting data pipelines or large-scale dataset management
- Familiarity with security best practices and application security concepts (OWASP)
What You’ll Work On
You’ll help build the core backend infrastructure of an AI platform used to:
- Manage AI/ML datasets and training assets
- Track model versions and evaluation pipelines
- Enable human-in-the-loop review workflows
- Support AI governance and compliance
- Provide scalable APIs powering modern AI development
Your work will directly contribute to the reliability, governance, and scalability of AI systems used in production environments.
Contract Details
- Contract: 4 months (potential extension)
- Location: Remote (Romania preferred)
- Engagement: Independent contractor
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