Support Engineer

Company Overview

CAEVES is a next-generation data platform purpose-built for the AI era. We empower enterprises to unlock the value of legacy, unstructured data sets and archives by transforming them into searchable, secure, and intelligent digital assets. Built natively for the Microsoft Azure ecosystem, CAEVES bridges the gap between traditional deep storage and modern AI-driven data lakes—enabling scalable, future-ready data strategies. 

Key Responsibilities

• Provide timely, professional technical support via email, chat, and video to troubleshoot and resolve customer issues
• Serve as a primary technical point of contact for customers during onboarding, deployment, and ongoing use
• Diagnose, replicate, and resolve product issues across the CAEVES Archive Data Lake platform
• Collaborate with engineering and product teams to escalate and resolve complex technical challenges
• Document known issues, troubleshooting steps, and best practices in the internal knowledge base and customer-facing portals
• Guide enterprise customers through configuration, integration with Azure services, and data onboarding
• Analyze logs, usage patterns, and telemetry data to assist in root cause analysis
• Ensure customers achieve success and satisfaction while using the platform, serving as their technical advocate

Required Qualifications

• 3–5 years of experience in a technical support, solutions engineering, or cloud operations role
• Strong working knowledge of Microsoft Azure, including Azure Blob Storage, networking, and authentication
• Familiarity with Microsoft enterprise environments, including Active Directory, Azure AD, and hybrid deployments
• Experience supporting or working with cloud-native SaaS platforms
• Excellent troubleshooting, communication, and customer service skills
• Ability to read and interpret logs, scripts (PowerShell), and basic diagnostic tools
• Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience

Preferred Experience

• Understanding of data storage semantics, such as file system behaviors, data lifecycle policies, and archival storage strategies
• Experience with logging/monitoring tools like Azure Monitor, Log Analytics, or Splunk
• Familiarity with compliance, eDiscovery, or data governance tools
• Experience working in high-availability, mission-critical support environments
• Microsoft Certifications (e.g., Azure Administrator or Azure Architect, or similar) are a plus

Why Join CAEVES?

• Help define the future of intelligent data transformation 
• Be part of a fast-growing, mission-driven team 
• Work in a flexible, remote-first environment 
• Competitive salary, equity, and benefits package