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.

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.

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

Originally posted on Himalayas