Help & Supportcareers@gravityer.com
SDET with 4+ years in Automation & API Testing
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
SDET with 4+ years of experience shipping high-quality enterprise software at Alert Enterprise. Owns the full quality lifecycle from requirement analysis and test architecture to CI/CD pipeline integration and production incident reduction. Replaces manual regression suites with automation frameworks that cut release cycles measurably. Seeking to bring a test-first culture to a fast-moving product startup.
Chandigarh University, Mohali
MCA · Computer Applications
August 1, 2020 – June 30, 2022
CSJMU, Kanpur
BCA · Computer Applications
August 1, 2017 – June 30, 2020
Alert Enterprise
Software Development Engineer in Test (SDET)
June 1, 2022 – Present
Chandigarh, Chandigarh, India
ML Research Project - Histopathological Cancer Detection
January 1, 2021 – December 31, 2022
Built and validated a machine learning pipeline to classify tumour presence from histopathology images, demonstrating applied knowledge of data validation, model accuracy metrics, and test-driven experimentation.
Cultural Fit Analysis
The candidate's experience aligns well with a test-first culture and agile methodologies, as stated in their professional summary and demonstrated by their work experience. Their involvement in cross-functional teams and focus on reducing escaped defects suggests a collaborative and quality-driven approach. The academic project indicates a breadth of interest beyond traditional SDET roles, which could be a positive for diverse teams. The target role of SDET is a direct match for their current and stated career trajectory.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through defect reduction and root-cause analysis. Their experience in leading QA for customer onboardings suggests good communication and stakeholder management. The ability to work in cross-functional teams and reduce escaped defects indicates a collaborative and proactive work attitude. The project on ML research also shows an analytical and research-oriented mindset.