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
* 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
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