Candidate Information
Name
Arjun M
Age
36
Education
B.E
Experience
5
Job Type
Full-time
Contact Details
About candidate
About you
I am Arjun, Senior Software Test Engineer with over 10 years of experience ensuring software quality across web, mobile, and API applications. I specialize in Testing, test planning, and collaboration in Agile teams. I’ve worked on projects with Volvo, Amazon, and other global clients, and I’m passionate about delivering reliable, user-friendly products.I led QA efforts for multiple mobile and web apps, created and executed test cases, validated APIs, and worked closely with cross-functional teams in Agile environments. I also have prior experience at TestYantra, Amazon, and Freecharge, where I built strong skills in defect management, stakeholder collaboration, and improving overall product quality. I’m passionate about ensuring smooth end-to-end user experiences and mentoring teams to deliver high-quality releases.
What are you looking for in a new role?
Senior Software Test Engineer Leading QA team with over a decade of experience in software quality assurance. I’ve led testing efforts for web and Mobile API-based applications, managed cross-functional teams, and ensured quality delivery through structured testing, agile practices, and effective stakeholder collaboration. I’ve worked on policy administration systems, claims processing, underwriting workflows, and regulatory compliance. My strengths lie in test planning, risk-based testing, team mentoring, and ensuring traceability from requirements to test coverage.
What you are interested in working with us?
Manual Testing
What has been most challenging experience in a past role?
One of the most challenging projects I worked on was a Truck Charging Management System, designed to support electric fleet vehicles through real-time scheduling, monitoring, and billing of charging sessions.
The project was complex because it combined IoT integration, real-time data processing, and mobile/web interfaces. My role was to lead manual and API testing across multiple environments — cloud backend, charger hardware interface, and user dashboard.
The biggest challenge was ensuring data synchronization between the chargers, the mobile app, and the cloud platform. For instance, discrepancies in charging status or session data could lead to incorrect billing or downtime for logistics companies. To address this, I designed detailed end-to-end test scenarios covering different charging states (plug-in, session start, mid-session interruption, disconnection, and billing completion).
I also collaborated closely with the firmware and API teams to validate communication protocols (OCPP – Open Charge Point Protocol) and created test data to simulate network latency and hardware failures.
Outcome: Through rigorous manual testing and validation, our team identified several critical defects early — including session timeout mismatches and incorrect tariff calculations — that could have caused major issues in live fleet operations. After resolving these, the system achieved stable performance, and it successfully supported the client’s first large-scale truck charging rollout.
This project significantly strengthened my ability to test complex, integrated systems and troubleshoot issues spanning both hardware and software layers.
The project was complex because it combined IoT integration, real-time data processing, and mobile/web interfaces. My role was to lead manual and API testing across multiple environments — cloud backend, charger hardware interface, and user dashboard.
The biggest challenge was ensuring data synchronization between the chargers, the mobile app, and the cloud platform. For instance, discrepancies in charging status or session data could lead to incorrect billing or downtime for logistics companies. To address this, I designed detailed end-to-end test scenarios covering different charging states (plug-in, session start, mid-session interruption, disconnection, and billing completion).
I also collaborated closely with the firmware and API teams to validate communication protocols (OCPP – Open Charge Point Protocol) and created test data to simulate network latency and hardware failures.
Outcome: Through rigorous manual testing and validation, our team identified several critical defects early — including session timeout mismatches and incorrect tariff calculations — that could have caused major issues in live fleet operations. After resolving these, the system achieved stable performance, and it successfully supported the client’s first large-scale truck charging rollout.
This project significantly strengthened my ability to test complex, integrated systems and troubleshoot issues spanning both hardware and software layers.