CloudFactory

Customer Onboarding Engineer

CloudFactory

full-time

Posted on:

Location Type: Hybrid

Location: Reading • United Kingdom

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Tech Stack

AWSAzureCloudNoSQLPythonSQL

About the role

  • Customer Need Analysis: Run customer workshops to understand their pain points, problems they are trying to solve and how CloudFactory can help them.
  • Rapid Configuration: Execute technical setups for new client accounts, including SSO integration, IAM user management, and workspace configuration.
  • Standard Integrations: Connect client data sources to the CloudFactory Platform using our standard connectors.
  • Client Enablement: Run technical training sessions to teach client teams how to use our "Model Playground," upload datasets, interpret quality reports etc.
  • Troubleshooting: Serve as the first line of defense for technical friction during the first 90 days.
  • Feedback Loop: Document friction points in the onboarding process and work with Internal Product teams for future enhancements.

Requirements

  • **Competencies Requirements**
  • *Education & Experience:*
  • - *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).**
  • **Technical Skills (Hard Skills):**
  • - 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/NoSQL).**
  • **Professional Skills (Soft Skills):**
  • - 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 runbooks.
  • - Client Empathy: The patience to explain technical concepts to non-technical stakeholders.
Benefits
  • - Great Mission and Culture
  • - Meaningful Work
  • - Market competitive salary
  • - Quarterly variable compensation
  • - Comprehensive medical cover
  • - Group life insurance
  • - Personal development and growth opportunities
  • - Periodic team building and social events
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
API ProficiencyRESTful architectureJSONOauthAPI KeysPythonBashAWS S3Google Cloud StorageAzure Blob
Soft Skills
Root Cause AnalysisDocumentationClient Empathy