Customer Onboarding Engineer

At Cloud Factory, 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.

At Cloud Factory, 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!

As a Customer Onboarding Engineer, you will be the technical accelerator for our newly onboarded customers or existing customers seeking platform transformation. You ensure that new customers can connect their data, configure their workflows, and launch their pilots without friction. You will play the role of a technical troubleshooter, platform enabler and customer success champion.

• Education:
  
  Bachelor's degree in Computer Science, Information Technology, Management Information Systems or equivalent practical experience.
• Work Experience:
  • 2–4 years of experience in Technical Support, Implementation Engineering, or Customer Success Engineering.
  • Proven track record of onboarding customers to SaaS platforms or technical data products.
  • Experience working with cross-functional teams (Product, Delivery, Sales).

• API Proficiency:
  Strong ability to use tools like Postman/cURL to test endpoints; understanding of RESTful architecture, JSON, and authentication methods (Oauth, API Keys).
• Scripting:
  Basic proficiency in Python or Bash for file manipulation and data cleaning.
• Cloud Literacy:
  Familiarity with cloud storage navigation (AWS S3, Google Cloud Storage, Azure Blob) and file transfer protocols.
• Identity Management:
  Experience configuring SSO (Single Sign-On), SAML, and managing user permissions (IAM) is a strong plus.
• Data Formats: expert-level comfort with CSV, JSON, JSONL, and XML.
• Computer Vision & ML Exposure:
  • Practical familiarity with Computer Vision libraries (e.g., OpenCV, Pillow, Scikit-image).
  • Understanding of image/video data structures (pixel arrays, frame extraction) and annotation formats (COCO, YOLO, JSON, DICOM for medical).
  • Ability to troubleshoot ML model inference (understanding confidence scores, IoU, and drift).
• Data Engineering:
  
  Experience with cloud storage (AWS S3, GCS, Azure Blob) and basic database querying (SQL/No
  
  SQL).

• Root Cause Analysis:
  Ability to look at an error log and determine if it’s a user error, a platform bug, or a configuration mismatch.
• Documentation: A compulsion to document "fixes" into reusable Knowledge Base articles or…