Software Engineer with 4+ years in Cloud-Native Architecture & Backend Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Engineer specializing in cloud-native architecture, and high-performance backend development. Experienced in building scalable microservices that reduce latency and optimize costs. Proficient in TypeScript/Node.js, Go and deploying production systems on AWS. Focused on writing clean, maintainable code and delivering measurable business impact through thoughtful engineering and collaboration. Open to opportunities across Software Engineering, Product Management, Business Development, and Administrative roles, bringing a blend of technical expertise and business-oriented thinking.
Concordia University
Master Of Engineering
September 1, 2021 – April 1, 2023
D.C.R. University
Bachelor of Technology
August 1, 2016 – August 1, 2020
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Cultural Fit Analysis
The candidate's diverse project experience across logistics, content management, and legacy application modernization, coupled with a broad skill set in various languages, frameworks, and cloud platforms, indicates adaptability and a willingness to learn new technologies. Their focus on delivering measurable business impact and collaborating with cross-functional teams suggests a team-oriented and results-driven approach, which generally aligns well with many technical cultures. The blend of technical expertise and business-oriented thinking is a positive indicator for cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through active participation in Agile ceremonies, maintaining technical documentation, and collaborating with cross-functional teams. Their experience in identifying key dependencies and risks, providing development estimates, and focusing on measurable business impact indicates good project management and team collaboration skills. The emphasis on reducing latency, optimizing costs, and ensuring system reliability aligns well with a performance-driven engineering culture.