CloudFactory Jobs Hiring Now
CloudFactory is hiring for 5 open roles on Migrate Mate as of July 16, 2026, concentrated in AI (Artificial Intelligence) and engineering (Non-Software). Migrate Mate updates CloudFactory's live openings daily. CloudFactory is a technology company that provides managed workforce and AI data operations services, helping businesses prepare and process data for machine learning and AI applications.
Find CloudFactory JobsOverview
CloudFactory hiring data on Migrate Mate, as of July 16, 2026.
- Open jobs
- 5
- Top team
- AI (Artificial Intelligence)
- Seniority
- Mid to senior level
- Work type
- 40% remote or hybrid
- Top location
- Hartford
Open Roles at CloudFactory
Showing 5 of 5+ CloudFactory jobs
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:
Cloudfactory is an AI enablement company where our software platform enables trusted AI at scale. Services of the platform include data preprocessing, AI model fine-tuning, inference oversight and MLOps for AI solutions in production. For traditional enterprises that have an aspiration to leverage AI to disrupt their industries but lack the skills or capabilities needed to design, prove, develop and deploy AI solutions we offer Forward deployed Engineering services that can advise, design, prove, develop, scale and operate AI solutions for them.
You will work directly with strategic clients to design and implement scalable technical integrations, define production-ready workflows, and ensure AI systems transition from experimentation to reliable deployment.
This is a hands-on engineering role with strong product and client-facing responsibilities.
Location & Travel:
- Preferred location: Dallas, TX
- Relocation assistance available for qualified candidates
- Frequent travel to client sites may be required (depending on client needs)
Responsibilities:
AI Deployment Architecture:
- Design and implement integrations between client systems and CloudFactory’s platform
- Architect scalable agentic AI & human-in-the-loop workflows
- Define data ingestion, transformation, and feedback loops
- Evaluate system bottlenecks (latency, quality, throughput)
Product Readiness & Scale:
- Translate proof-of-concept AI systems into scalable production workflows
- Identify operational risks before deployment
- Partner with Delivery teams to ensure execution feasibility
- Improve reliability and reduce manual intervention
Hands-on Engineering:
- Build APIs, connectors, automation scripts, and data pipelines
- Debug integration issues in client environments
- Contribute to internal platform enhancements
Field Product Intelligence:
- Surface recurring patterns from client deployments
- Distinguish between custom solutions and reusable features
- Influence roadmap priorities with evidence from the field
Technical Leadership:
- Lead technical discovery sessions
- Support pre-sales validation
- Act as trusted advisor to enterprise engineering teams
Requirements
Engineering depth:
- 2+ years software engineering experience
- Strong proficiency in Python, Go
- Proficiency with Claude and all relevant AI tools
- Experience with cloud infrastructure (AWS/GCP/Azure)
- Experience building APIs and working with distributed systems
Systems thinking:
- Experience designing data pipelines or ML infrastructure
- Ability to evaluate end-to-end workflow performance
- Familiarity with AI/ML lifecycle (training inference evaluation feedback)
Product judgement:
- Ability to differentiate scalable feature opportunities from custom requests
- Strong prioritization instincts
Communication:
- Ability to communicate with C-level and deeply technical stakeholders
- Comfortable running technical workshops
- Able to translate ambiguity into architecture
Benefits
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:
Cloudfactory is an AI enablement company where our software platform enables trusted AI at scale. Services of the platform include data preprocessing, AI model fine-tuning, inference oversight and MLOps for AI solutions in production. For traditional enterprises that have an aspiration to leverage AI to disrupt their industries but lack the skills or capabilities needed to design, prove, develop and deploy AI solutions we offer Forward deployed Engineering services that can advise, design, prove, develop, scale and operate AI solutions for them.
You will work directly with strategic clients to design and implement scalable technical integrations, define production-ready workflows, and ensure AI systems transition from experimentation to reliable deployment.
This is a hands-on engineering role with strong product and client-facing responsibilities.
Location & Travel:
- Preferred location: Dallas, TX
- Relocation assistance available for qualified candidates
- Frequent travel to client sites may be required (depending on client needs)
Responsibilities:
AI Deployment Architecture:
- Design and implement integrations between client systems and CloudFactory’s platform
- Architect scalable agentic AI & human-in-the-loop workflows
- Define data ingestion, transformation, and feedback loops
- Evaluate system bottlenecks (latency, quality, throughput)
Product Readiness & Scale:
- Translate proof-of-concept AI systems into scalable production workflows
- Identify operational risks before deployment
- Partner with Delivery teams to ensure execution feasibility
- Improve reliability and reduce manual intervention
Hands-on Engineering:
- Build APIs, connectors, automation scripts, and data pipelines
- Debug integration issues in client environments
- Contribute to internal platform enhancements
Field Product Intelligence:
- Surface recurring patterns from client deployments
- Distinguish between custom solutions and reusable features
- Influence roadmap priorities with evidence from the field
Technical Leadership:
- Lead technical discovery sessions
- Support pre-sales validation
- Act as trusted advisor to enterprise engineering teams
Requirements
Engineering depth:
- 2+ years software engineering experience
- Strong proficiency in Python, Go
- Proficiency with Claude and all relevant AI tools
- Experience with cloud infrastructure (AWS/GCP/Azure)
- Experience building APIs and working with distributed systems
Systems thinking:
- Experience designing data pipelines or ML infrastructure
- Ability to evaluate end-to-end workflow performance
- Familiarity with AI/ML lifecycle (training inference evaluation feedback)
Product judgement:
- Ability to differentiate scalable feature opportunities from custom requests
- Strong prioritization instincts
Communication:
- Ability to communicate with C-level and deeply technical stakeholders
- Comfortable running technical workshops
- Able to translate ambiguity into architecture
Benefits
Job Roles at CloudFactory
Working at CloudFactory
CloudFactory's 5 open roles are mid to senior level, and about 40% are remote or hybrid. The most active teams are AI (Artificial Intelligence), engineering (Non-Software), and account management. CloudFactory delivers AI data operations and managed workforce solutions, supporting companies that need structured data pipelines, human-in-the-loop review, and AI deployment services across industries such as technology, insurance, and construction. Most CloudFactory roles are based in Hartford, with some in Boyce and Chicago.
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Browse jobs by roleCloudFactory Jobs: Frequently Asked Questions
How many jobs is CloudFactory hiring for right now?
CloudFactory is hiring for 5 open roles on Migrate Mate as of July 16, 2026, updated daily, concentrated in AI (Artificial Intelligence) and engineering (Non-Software). Openings span AI consulting, technical deployment, and data capture functions, reflecting CloudFactory's focus on delivering AI-ready data solutions to enterprise clients.
What kinds of roles does CloudFactory hire for?
The most active teams are AI (Artificial Intelligence), engineering (Non-Software), and account management. CloudFactory's posted roles include AI consulting positions, forward deployed engineering, and data capture work tied to AI model development across industries like insurance and construction. Most postings are mid to senior level, reflecting a team that works directly with enterprise clients on AI deployment and data operations.
Are CloudFactory jobs remote or in-person?
A mix of remote and on-site. About 40% of CloudFactory's open roles on Migrate Mate are remote or hybrid as of July 16, 2026, with the rest based in Hartford. Each CloudFactory listing shows its work location so you can filter before applying.
How do I apply to a job at CloudFactory?
Find a CloudFactory role on Migrate Mate, then follow the listing through to CloudFactory's own application process on its careers site. CloudFactory manages its own hiring directly, so submitting your application through its official process is the step that puts you in front of the team.
Does CloudFactory hire entry-level?
Most of CloudFactory's open roles on Migrate Mate are mid to senior level as of July 16, 2026. Entry-level openings are limited. Check individual CloudFactory listings for stated experience requirements.
Where is CloudFactory hiring?
Most CloudFactory roles are based in Hartford, with some in Boyce and Chicago, and about 40% offer remote or hybrid work as of July 16, 2026. Migrate Mate shows the location on each listing.