Support Engineer

July 7, 2026
Application ends: October 5, 2026

Job Description

REQUIREMENTS

  • Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent experience.
  • 3–6+ years of experience in technical customer support or a related technical role.
  • Experience supporting Code-1, VeriMove, Finalist, or similar data processing and coding-centric products.
  • Familiarity with Spectrum UAM or Spectrum-based data integration solutions. Experience supporting batch processing, ETL-style workflows, or data pipelines.
  • Exposure to SaaS platforms and API-based integrations. Experience working in a global or follow-the-sun support model.
  • Leverages AI to enhance customer support operations (case summarization, response drafting, knowledge recommendations, sentiment analysis).
  • Comfortable evaluating and adopting emerging AI tools to improve productivity, decision-making, and cross-team visibility.
  • Ensures responsible AI usage aligned with data privacy, security, and enterprise governance standards.
  • Identifies and automates repetitive support and operational workflows using AI tools (e.g., case triage, routing, summarization, reporting) to improve efficiency and reduce manual effort.

RESPONSIBILITIES

  • Provide world-class technical support via phone, email, case management systems, and remote desktop sessions while meeting SLA requirements and documenting work accurately.
  • Support customers using Code-1, VeriMove, and Finalist, including troubleshooting job logic, configuration issues, file handling, and execution errors.
  • Diagnose and resolve issues related to data transformation, validation, cleansing, and movement across platforms.
  • Support Spectrum UAM and related services, including configuration, data processing flows, and integration scenarios.
  • Assist customers using DIS SaaS / Data Integrity Suite services where coding, automation, or APIs are involved.
  • Analyze logs, job output, error messages, and customer-provided artifacts to identify root cause and recommend corrective actions.
  • Determine whether issues originate from product behavior, customer-developed logic, data quality problems, third-party components, or environmental configuration.
  • Collaborate closely with Engineering and Product Management on escalations, enhancements, and defect investigations.
  • Create and maintain internal and customer-facing knowledge base documentation.
  • Continuously develop product knowledge and shareexpertise with the broader support team.
  • Participate in on-call and after-hourssupport rotations as required.

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