Support Engineer

OverviewWe 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.ResponsibilitiesTroubleshoot and resolve issues across web applications, APIs, and backend servicesAnalyze 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 SLAsInvestigate data issues using SQL (joins, filtering, aggregations) to identify root causesCollaborate with product managers, business analysts, and developers to clearly define bugs and expected behaviorDocument issues and translate findings into well-structured bug reports, user stories, or functional specsAssist in validating bug fixes and supporting release testingContribute knowledge base articles and support playbooksExplore and assist in implementing AI-driven support workflows (e.g., chatbot triage, auto-classification, or response suggestions)QualificationsBachelor’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 behaviorStrong analytical and problem-solving skillsAbility to manage multiple tasks in a queue-driven support environmentClear communication skills for both technical and non-technical audiencesPreferred QualificationsExposure to JavaScript-based web applications or REST APIsExperience with tools like Azure Application Insights, Log Analytics, or similar observability platformsFamiliarity with ticketing systems (Jira)Basic understanding of Agile, product management, or business analysis practicesExposure 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 specificationsKey CompetenciesStructured problem-solving and root cause analysisAbility to translate issues into actionable technical and functional requirementsOwnership mindset with attention to detailCuriosity and willingness to experiment with AI-driven support improvementsStrong collaboration across engineering, product, and support teamsJob SummaryJob ID: 2026-20333