Software Engineer, Cross Border Science and Analytics
Amazon · Bengaluru · onsite · Posted 29d ago
Not disclosed3–5 yrsfulltimeSourced from
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About this role
Description
We are looking for a Software Development Engineer to join the XB Science team — a centralized applied science function that builds and deploys ML-powered systems driving cross-border product discovery, selection optimization, compliance automation, and demand forecasting across 20+ international marketplaces. The SDE will partner directly with Applied Scientists to productionize, scale, and operationalize ML models that generate $100M+ in business impact annually.
Key job responsibilities
Own the end-to-end production deployment and scaling of ML models — from SageMaker training pipelines to real-time/batch inference endpoints serving millions of ASINs across 20+ country arcs
Build and maintain automated ML pipelines: data ingestion, feature engineering, model retraining, inference orchestration (Cradle, SageMaker, Glue, S3, Lambda)
Architect for zero-code-change market expansion — design systems that scale to new countries, languages, and programs through configuration rather than re-engineering
Own production excellence: monitoring, alerting, on-call, runbooks, SLA adherence, latency/IMR optimization, and HOTW compliance
Build agentic AI infrastructure — orchestration frameworks, tool-use APIs, and guardrails for AI agents
Basic Qualifications
Company - ADCI - Karnataka
Job ID: A10525236
We are looking for a Software Development Engineer to join the XB Science team — a centralized applied science function that builds and deploys ML-powered systems driving cross-border product discovery, selection optimization, compliance automation, and demand forecasting across 20+ international marketplaces. The SDE will partner directly with Applied Scientists to productionize, scale, and operationalize ML models that generate $100M+ in business impact annually.
Key job responsibilities
Own the end-to-end production deployment and scaling of ML models — from SageMaker training pipelines to real-time/batch inference endpoints serving millions of ASINs across 20+ country arcs
Build and maintain automated ML pipelines: data ingestion, feature engineering, model retraining, inference orchestration (Cradle, SageMaker, Glue, S3, Lambda)
Architect for zero-code-change market expansion — design systems that scale to new countries, languages, and programs through configuration rather than re-engineering
Own production excellence: monitoring, alerting, on-call, runbooks, SLA adherence, latency/IMR optimization, and HOTW compliance
Build agentic AI infrastructure — orchestration frameworks, tool-use APIs, and guardrails for AI agents
Basic Qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience
- Experience programming with at least one software programming language
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Company - ADCI - Karnataka
Job ID: A10525236
Sourced from foundit
Skills
Inference orchestrationAws GlueAws LambdaAutomated ML pipelineson-call runbooksHOTW complianceIMR optimizationAws SagemakerData ingestionapisalertingfeature engineeringMonitoringSLA adherenceML modelsAWS S3orchestration frameworksmodel retraining
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