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Common senior backend title with mid-level experience and generalist tech stack yields medium competition.
Backend and data engineering skills are broadly transferable across industries, so low sensitivity.
Explicit 5+ years plus mandatory NodeJS, MongoDB, cloud and CI/CD skills enforce high strictness.
Design, develop, and maintain backend services primarily using NodeJS and MongoDB with focus on scalable APIs and webhook integrations.
Develop and implement data engineering solutions including Python scripts and machine learning model deployment on cloud platforms.
Refactor existing codebases for optimization, mentor junior engineers, and collaborate cross-functionally for requirement analysis and solution design.
Minimum 5 years of hands-on experience in backend development or data engineering roles.
Proficiency in NodeJS, JavaScript, REST APIs, and Python for data processing and scripting.
Bachelor's or Master's degree in Computer Science or related field from a reputable institute.
Experience with database technologies (SQL), cloud services (Azure or AWS), and scripting languages like Shell.
Experienced in both backend and data engineering with capability to handle end-to-end backend architecture and data pipeline challenges.
Comfortable working with cross-functional teams, taking ownership of backend service quality and cloud-based ML model deployment.
Strong programming skills with an emphasis on code optimization, automation (CI/CD), and mentoring team members in engineering best practices.