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Generalist backend role, mid-senior level, metro location, and broad skillset drive high candidate competition.
Backend development skills are highly transferable across industries despite optional data engineering advantage.
Explicit 6–9 years plus mandatory backend tech, cloud, and container experience increases shortlisting strictness.
Design, develop, and maintain scalable backend services using Java, Python, or Node.js with focus on performance and security.
Build and consume RESTful APIs and integrate with third-party systems, ensuring code quality and maintainability.
Collaborate in cross-functional teams and participate in code reviews and technical documentation maintenance.
6+ years of professional experience in backend or full-stack development involving Java, Python, or Node.js.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Hands-on experience with relational and NoSQL databases like PostgreSQL and MongoDB.
Familiarity with microservices architecture, RESTful APIs, Git, CI/CD pipelines, Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP).
Experienced in building large-scale, production-grade backend applications in Agile/Scrum environments.
Has practical knowledge or exposure to data engineering concepts like ETL pipelines, Kafka, data lakes/warehouses, and real-time data flows, enhancing backend data-centric capabilities.
Operates well in cross-functional teams and can manage complex backend integration challenges involving multiple systems and data sources.