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Strong employer brand, mid-level fullstack title, and metro Hyderabad increase applicant competition.
Core fullstack, cloud, and AI skills transfer across industries, though life-sciences domain knowledge is a plus.
Explicit 5+ years plus mandatory backend, frontend, cloud, and data/AI skills enforce strict filters.
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Own end-to-end design, development, and maintenance of full stack web applications integrating front-end interfaces, backend services, and APIs using Python, Node.js, and modern UI frameworks (React/Angular).
Lead integration and deployment of scalable cloud-native applications leveraging AWS services (Lambda, S3, RDS, DynamoDB, Glue, API Gateway).
Develop AI-augmented features using Generative AI, collaborate with cross-functional teams to translate business requirements into data-driven solutions, and ensure application performance and system reliability.
5+ years experience as full stack software developer with strong backend (Python/Node.js) and frontend (React or Angular) skills.
Proficiency in SQL and NoSQL databases (PostgreSQL, MySQL, DynamoDB, MongoDB) and experience with AWS cloud services for application deployment and scaling.
Familiarity with RESTful API design, microservices architecture, and data processing using Databricks.
Work Experience Required: 5+ years relevant experience. Notice period: Not explicitly mentioned in the JD.
Experienced in building scalable, production-grade APIs and distributed systems within agile development environments.
Comfortable working at the intersection of data engineering, AI-augmented application development, and business analytics in Life Sciences or research & development domains.
Pragmatic developer adept at balancing research-driven problem solving with engineering excellence to deliver measurable business impact.