Jobs · Information Technology · Wisconsin

Support Engineer

Snap-on · Kenosha, WI · 3 wk ago
Information TechnologyFull-time

Responsibilities

  • Troubleshoot and resolve issues across web applications, APIs, and backend services
  • Analyze application behavior using logs, SQL queries, and Azure monitoring tools (e.g., Application Insights, Elastic Log Analytics)
  • Manage and prioritize support queues based on severity, impact, and SLAs
  • Investigate data issues using SQL (joins, filtering, aggregations) to identify root causes
  • Collaborate with product managers, business analysts, and developers to clearly define bugs and expected behavior
  • Document issues and translate findings into well-structured bug reports, user stories, or functional specs
  • Assist in validating bug fixes and supporting release testing
  • Contribute knowledge base articles and support playbooks
  • Explore and assist in implementing AI-driven support workflows (e.g., chatbot triage, auto-classification, or response suggestions)

Qualifications

  • Bachelor’s degree in computer science, Information Systems, or related field (or equivalent practical experience)
  • Strong foundational SQL skills (queries, joins, basic performance awareness)
  • Understanding of web application architecture (frontend, backend, APIs)
  • Familiarity with Azure ecosystem (App Services, Azure SQL, monitoring tools)
  • Ability to troubleshoot issues using logs, error messages, and system behavior
  • Strong analytical and problem-solving skills
  • Ability to manage multiple tasks in a queue-driven support environment
  • Clear communication skills for both technical and non-technical audiences

Preferred Qualifications

  • Exposure to JavaScript-based web applications or REST APIs
  • Experience with tools like Azure Application Insights, Log Analytics, or similar observability platforms
  • Familiarity with ticketing systems (Jira)
  • Basic understanding of Agile, product management, or business analysis practices
  • Exposure to AI tools or LLM-based support agents (e.g., chatbot workflows, prompt tuning, or automation tools like n8n)
  • Experience writing bug reports, acceptance criteria, or functional specifications

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