ADCI HYD 13 SEZ
Software Development, customer service
SoftwareDevelopmentEngineer,CSDataIntelligence
Neural analysis suggests this role is
optimal for Mid candidates.
“Software Development Engineer, CS Data Intelligence at ADCI HYD 13 SEZ. Skills: Data infrastructure, AI models, ML platform. Design data infrastructure systems. Build data infrastructure systems”
Industry & Context.
Complex technical challenges
What They're Looking For.
Must Have
3+ years software development experience, 2+ years system design/architecture, 3+ years Video Games Industry experience, Experience programming one language
Nice to Have
3+ years full SDLC experience, Bachelor's degree in computer science
What You'll Do.
Design data infrastructure systems
Build data infrastructure systems
Architect for real-time processing
Implement secure storage
Develop privacy-compliant access layers
Build AI model lifecycle infrastructure
Support AI model development
Support AI model deployment
Create enterprise-scale data systems
Handle high-volume transactions
Implement data governance frameworks
Build scalable data products
Drive technical architecture decisions
Own end-to-end delivery
Design technical solutions
Implement technical solutions
Collaborate with cross-functional teams
Understand requirements
Conduct design reviews
Ensure successful delivery
Maintain development standards
Enhance system stability
Build new capabilities
Improve monitoring systems
Maintain data compliance
Consult with scientists
Optimize model deployment
Mentor junior engineers
Share system design expertise
How You'll Work.
Team & Collaboration
Cross-functional teams; Product Managers; Applied Scientists; Data Engineers; Security teams
Full Job Description
As a Software Engineer on the CS Data Intelligence team, you will design and build robust, secure data infrastructure systems. You'll architect for real-time data processing needs, implement secure storage solutions, and develop privacy-compliant data access layers. Additionally, you'll build infrastructure that supports the complete lifecycle of Artificial Intelligence (AI) models - from development to production deployment. You’ll work with cross-functional teams (e.g., scientists, product managers, data engineers) to create enterprise-scale data processing systems that handle high-volume transactions, implement comprehensive data governance frameworks, and build scalable data products that power critical business capabilities. If you enjoy solving complex technical challenges in high-scale environments, working in a collaborative and dynamic team, and want to make a lasting impact on Amazon Customer Service worldwide, this is your opportunity. Come join us on this exciting journey! Key job responsibilities - Design and implement enterprise-scale data infrastructure and storage solutions that ensure optimal performance and reliability. - Architect and build Machine Learning (ML) platform infrastructure that supports the complete model lifecycle, from training environments and validation frameworks to production deployment and monitoring systems. - Develop and maintain robust data governance frameworks, implementing security controls, authentication mechanisms, and compliant data access patterns that protect sensitive information. - Drive technical architecture decisions and system design, focusing on scalability, reliability, and performance of distributed services while ensuring alignment with business requirements. - Own end-to-end delivery of technical solutions, including design, implementation, and verification of components, using standard software engineering methodologies and best practices. - Collaborate with cross-functional teams, including Product Mana
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