Customer Engineer (Data Unification)

TL;DR

Customer Engineer (Data Unification): Provides expert technical support to high-value customers, resolving complex issues and proactively ensuring system health with an accent on resolving technical configurations, workflow compilation, and integration challenges. Focus on serving as a subject matter expert for product features, contributing to knowledge sharing, and participating in 24/7 on-call rotations.

Location: Must be based in the United States

Salary: $100,000 - $150,000 USD

Company

hirify.global is a product company specializing in AI-powered data unification and management, transforming siloed data from disparate sources into unified, trusted, and interoperable data.

What you will do

• Handle complex technical problems for customers, including technical configuration, workflow compilation, lambda code debug, integration, and JSON knowledge.
• Resolve all categories of customer technical issues through diligent research, reproduction, and troubleshooting.
• Serve as a subject matter expert in multiple product features for supporting, enhancing, and fixing solutions at massive scale.
• Attend meetings with clients to analyze, troubleshoot, and diagnose problems.
• Participate in a 24/7 on-call rotation and support weekend shifts on a rotational/as-needed basis.
• Share and develop best practices with team members to enhance technical support quality and efficiency, and contribute to the knowledge base.

Requirements

• Bachelor's degree in Computer Science or equivalent field of study.
• 3+ years of experience with on-premise or cloud Data Unification solutions.
• 3+ years of experience supporting enterprise SaaS products in a customer-facing role.
• 3+ years of experience with Public Clouds (AWS/GCP/Azure) and their services.
• 3+ years of experience with REST APIs and integration tools.
• Previous experience as a software engineer, support engineer, or solution engineer supporting Enterprise-focused applications.
• Experience in data management, master data management, analytics, and big data platforms and technologies.
• Hands-on programming experience (Python, Java), object-oriented design, data structures, algorithm design, and problem-solving.

Nice to have

• MS in computer science or equivalent experience.
• Experience with NoSQL databases (Cassandra, Elastic Search, DynamoDB preferred).

Culture & Benefits

• Flexible work arrangements and a distributed workforce.
• Values-driven culture focused on "Customer First", "Better Together", "Simplify and Share", "Own It", and "Always Better Than Yesterday".
• Commitment to diversity and inclusion as an equal opportunity workplace.
• Provision of reasonable accommodation to applicants with physical and mental disabilities.