{"id":2640960,"url":"https://alion.io/job/amazon-software-engineer-cross-border-science-and-analytics","title":"Software Engineer, Cross Border Science and Analytics","company":{"id":19,"name":"Amazon","domain":"amazon.com","url":"https://alion.io/company/amazon","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"A","score":100,"open_postings":19,"ghost_share":0,"stale_share":0,"repost_share":0.053,"time_to_fill_p50_days":19,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS Lambda","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Tool Use","optional":false},{"name":"AWS","optional":true}],"status":"live","first_seen_at":"2026-09-02T00:00:00Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-15T22:26:23Z","board_verified":true,"closed_at":null,"days_open":44,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":44},"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.\nKey job responsibilities\nOwn 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\nBuild and maintain automated ML pipelines: data ingestion, feature engineering, model retraining, inference orchestration (Cradle, SageMaker, Glue, S3, Lambda)\nArchitect for zero-code-change market expansion - design systems that scale to new countries, languages, and programs through configuration rather than re-engineering\nOwn production excellence: monitoring, alerting, on-call, runbooks, SLA adherence, latency/IMR optimization, and HOTW compliance\nBuild agentic AI infrastructure - orchestration frameworks, tool-use APIs, and guardrails for AI agents\nBasic qualifications\n- 3+ years of non-internship professional software development experience\n- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience\n- 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience\n- Experience programming with at least one software programming language\nPreferred qualifications\n- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience\n- Bachelor's degree in computer science or equivalent\nOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. 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