We are looking for an Entry-Level Support Engineer with 2-3 years of experience to support and troubleshoot modern web applications built on an Azure and SQL-based stack. This role is ideal for someone who enjoys digging into application issues, working with data, and exploring emerging tools like AI agents to improve support operations.
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)
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
Key Competencies
Structured problem-solving and root cause analysis
Ability to translate issues into actionable technical and functional requirements
Ownership mindset with attention to detail
Curiosity and willingness to experiment with AI-driven support improvements
Strong collaboration across engineering, product, and support teams
Numbers & Facts
Location
Kenosha, Wisconsin
Industry
Manufacturing - Other
Company Size
10,000 employees or more
Website
http://www.snapon.com
About Company
Snap-on Incorporated is a leading global innovator, manufacturer and marketer of tools, equipment, diagnostics, repair information and systems solutions for professional users performing critical tasks. Products and services include hand and power tools, tool storage, diagnostics software, information and management systems, shop equipment and other solutions for vehicle dealerships and repair centers, as well as for customers in industries, including aviation and aerospace, agriculture, construction, government and military, mining, natural resources, power generation and technical education. Snap-on also derives income from various financing programs to facilitate the sales of its products and support its franchise business. Products and services are sold through the company’s franchisee, company-direct, distributor and internet channels. Founded in 1920, Snap-on is a $3.7 billion, S&P 500 company headquartered in Kenosha, Wisconsin.
Skills
Agile Programming Methodologiesunmatched
Analysis Skillsunmatched
Application Programming Interface (API)unmatched
Artificial Intelligence (AI)unmatched
Artificial Intelligence (AI) Agentsunmatched
Atlassian JIRAunmatched
Automationunmatched
Bug Tracking/Defect Managementunmatched
Business Analysisunmatched
Business Practicesunmatched
Communication Skillsunmatched
Computer Scienceunmatched
Conversation Engineunmatched
Debugging Skillsunmatched
Detail Orientedunmatched
Ecosystemsunmatched
Establish Prioritiesunmatched
Identify Issuesunmatched
Information Technology & Information Systemsunmatched
Internet Applicationunmatched
Knowledge Baseunmatched
Microsoft Windows Azureunmatched
Multitaskingunmatched
Operational Improvementunmatched
Operational Supportunmatched
Problem Solving Skillsunmatched
Process Improvementunmatched
Product Managementunmatched
Product Supportunmatched
Root Cause Analysisunmatched
SQL (Structured Query Language)unmatched
Service Level Agreement (SLA)unmatched
Software Administrationunmatched
Technical Supportunmatched
User Interface/Experience (UI/UX)unmatched
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