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Popular fullstack title, broad AWS/ML skillset, and a recognized employer increase applicant competition.
Core cloud, Java, and microservices skills are broadly transferable across industries.
Multiple mandatory technical skills (Java, microservices, AWS, Big Data, CI/CD) make shortlisting moderately strict.
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Design, develop, test, and deploy scalable microservices, APIs, and data pipelines using Java, Spring Boot, SQL, Python, PySpark, and AWS cloud-native services.
Own end-to-end full-stack development including frontend interfaces, backend systems, and database management with a focus on data quality, security, and regulatory compliance.
Collaborate with architecture teams and stakeholders to ensure best practices, implement DevOps and CI/CD processes, and leverage big data and AI/ML technologies for innovation.
Bachelor's or Master's degree in Computer Science, Software Engineering, or related field.
Proven experience with microservices architecture, Java, Spring Boot, REST APIs, and AWS cloud-native services (Lambda, ECS, EC2, S3, RDS, Glue, Airflow, Quicksight, Sagemaker).
Expertise in full-stack development and cloud application security best practices including DevOps and CI/CD.
Work Experience Required: Not explicitly mentioned in the JD.
Strong expertise in developing scalable microservices and cloud-native applications on AWS platforms.
Experience integrating big data platforms and applying AI/ML capabilities including familiarity with generative AI, LLMs, and AI-assisted development tools.
Ability to collaborate effectively across architecture, product, and engineering teams to drive product excellence and innovation.