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Tier-1 brand, generalist fullstack title, and metro Bangalore increase competitor density.
Cloud, microservices, NodeJS/Python, and GenAI skills are broadly transferable across industries.
Explicit 8+ years plus mandatory AWS, NodeJS/Python, Kubernetes, and GenAI skills tighten screening.
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Develop and maintain microservices architecture for data ingestion and backend services using AWS cloud technologies.
Design and deploy scalable backend and real-time data analytics platforms, including implementation of API gateways, service meshes, and container orchestration with Docker/Kubernetes.
Develop and optimize ChatGPT-based generative AI agents for conversational interfaces, data analysis, and automation use cases.
Bachelor's Degree required.
More than 8 years of professional experience as a Full Stack Engineer with backend development expertise.
Mandatory technical skills: AWS core services (EC2, Lambda, S3, CloudFormation, ECS, RDS, DynamoDB), NodeJS, Python, Django, REST and GraphQL API development, SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, DynamoDB).
Experience with microservices architecture, containerization (Docker/Kubernetes), and AI model development/deployment including ChatGPT or similar generative AI technologies.
Experienced in operating in agile environments collaborating across cross-functional teams including frontend developers, data scientists, and DevOps engineers.
Demonstrated capability in architecting complex, fault-tolerant microservices with data streaming and analytics using technologies like Apache Kafka or AWS Kinesis.
Strong background in integrating IoT platforms and advanced data processing pipelines, combined with hands-on experience deploying and scaling AI models in production.