Full Stack Development Lead

5 days ago


bhavnagar, India beBeeEngineer Full time

Senior Fullstack Engineer - End-to-End FeaturesWe are seeking a seasoned Senior Fullstack Engineer to own features end-to-end, with expertise in both backend and frontend technologies. The ideal candidate will have experience building scalable web applications, APIs, and data pipelines.Key Responsibilities:Design and implement product features across backend and frontend, ensuring seamless integration and user experience.Develop and maintain RESTful APIs, handling authentication, rate limiting, and validation.Build responsive and accessible UIs using React and Next.js, along with TypeScript.Design and maintain a frontend SDK for easy integration with backend APIs and data services.Collaborate with data engineers to design schemas and models that support product workflows and analytics.Work with Terraform or similar IaC tools to provision and manage app infrastructure.Instrument structured logs, metrics, and traces across services and UIs, defining alert policies and on-call runbooks.Apply least-privilege access, secrets management, and encryption in transit/at rest.Write unit, integration, and end-to-end tests for backend and frontend code.Requirements:5+ years of full-stack engineering experience, with expertise in backend and frontend technologies.Strong knowledge of REST best practices, API security, and authentication mechanisms.Proficiency in SQL and database modeling, with experience working with RDBMS.Familiarity with cloud platforms, such as Azure or AWS, and IaC tools like Terraform.Experience with CI/CD pipelines, automated testing, and continuous integration.Clear communication and documentation skills, with the ability to write concise technical documents.Preferred Qualifications:Experience collaborating with data engineering and analytics teams to define data contracts and coordinate schema changes.Knowledge of analytics concepts, event tracking, and BI consumption patterns.Familiarity with event streaming/message queues, such as Kafka or Event Hubs.Experience with data-driven UIs, including dashboards, reports, filters, and exports.Understanding of data platform architecture, storage/layout choices, and catalog/lineage/governance concepts.



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