Overview:
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
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Analyze application behavior using logs, SQL queries, and Azure monitoring tools (e.g., Application Insights, Elastic Log Analytics)
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Manage and prioritize support queues based on severity, impact, and SLAs
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Investigate data issues using SQL (joins, filtering, aggregations) to identify root causes
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Collaborate with product managers, business analysts, and developers to clearly define bugs and expected behavior
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Document issues and translate findings into well-structured bug reports, user stories, or functional specs
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Assist in validating bug fixes and supporting release testing
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Contribute knowledge base articles and support playbooks
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Explore and assist in implementing AI-driven support workflows (e.g., chatbot triage, auto-classification, or response suggestions)
Qualifications:
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Bachelor’s degree in computer science, Information Systems, or related field (or equivalent practical experience)
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Strong foundational SQL skills (queries, joins, basic performance awareness)
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Understanding of web application architecture (frontend, backend, APIs)
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Familiarity with Azure ecosystem (App Services, Azure SQL, monitoring tools)
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Ability to troubleshoot issues using logs, error messages, and system behavior
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Strong analytical and problem-solving skills
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Ability to manage multiple tasks in a queue-driven support environment
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Clear communication skills for both technical and non-technical audiences
Preferred Qualifications
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Exposure to JavaScript-based web applications or REST APIs
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Experience with tools like Azure Application Insights, Log Analytics, or similar observability platforms
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Familiarity with ticketing systems (Jira)
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Basic understanding of Agile, product management, or business analysis practices
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Exposure to AI tools or LLM-based support agents (e.g., chatbot workflows, prompt tuning, or automation tools like n8n)
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Experience writing bug reports, acceptance criteria, or functional specifications
Key Competencies
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Structured problem-solving and root cause analysis
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Ability to translate issues into actionable technical and functional requirements
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Ownership mindset with attention to detail
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Curiosity and willingness to experiment with AI-driven support improvements
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Strong collaboration across engineering, product, and support teams
