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Application Support Engineer with 1+ years in production support & cloud monitoring.
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Assessing your cultural and operational fit
Results-driven Application Support Engineer (L1/L2) with 1+ year of experience in production support, incident management, and root cause analysis (RCA) for web-based enterprise applications. Skilled in end-to-end ticket lifecycle ownership, SQL-based data validation, API testing (Postman), and log monitoring (AWS CloudWatch). Proven ability to classify issues into Product Problems and Professional Services (PS), collaborate with L2/L3 teams, and resolve incidents within SLA timelines.
VTU, Belagavi
MCA · Master of Computer Applications
August 1, 2023 – June 30, 2024
KLE Society, Dharwad
BCA · Bachelor of Computer Applications
August 1, 2019 – June 30, 2022
FirstHive
Application Support Engineer (L1/L2)
February 1, 2025 – Present
Bengaluru, Karnataka, India
College Management System
June 24, 2026 – Present
Built and tested REST APIs for student, faculty, and course management with JWT authentication and RBAC; validated all endpoints via Postman.
Inventory Management System
June 24, 2026 – Present
Developed full-stack inventory and order management app; designed normalized DB schema and optimized SQL queries for reporting workflows.
Full Stack Development
SG Software Institute, Bangalore
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience in an L1/L2 support role, coupled with academic projects involving full-stack development and API management, indicates a practical, problem-solving orientation. The listed skills and responsibilities align well with a support-centric culture that values quick resolution, proactive monitoring, and effective communication. The breadth of tools and technologies used (AWS CloudWatch, Jira, Postman, SQL databases) suggests adaptability and a willingness to learn diverse systems.
Soft Skills & Operational Fit
The candidate's experience highlights strong operational skills in incident management, SLA adherence, and client communication. The ability to conduct RCA and contribute to a knowledge base indicates a proactive approach to problem-solving and continuous improvement. The focus on classifying issues and escalating effectively suggests good organizational and collaboration skills within a support team.