Software Development Engineer II , Amazon Fulfillment Technologies - Inbound
Amazon
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What technologies roles keep asking for: AWS (17%), Python (17%), Java (15%), Agile (14%) — counted across their open postings here.
Software Development Engineer jobs in the United States · Remote Software Development Engineer jobs · AWS jobs · Airflow jobs · CI/CD jobs · ETL jobs
Amazon has 16,909 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
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Interviews for technologies roles keep coming back to AWS, Python, Java, Agile. Practise those questions before you sit with Amazon.
Questions you are likely to be asked
- Why do you want to join Amazon?
- What is your experience with ETL? Tell me one thing you learned the hard way.
- Walk me through a system you built. How was it designed, and what would you change now?
- Tell me about a hard bug you tracked down. How did you find the cause?
- How do you decide what to test, and what does good code review look like to you?
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Practise the Software Development Engineer II , Amazon Fulfillment Technologies - Inbound at Amazon interview free →Amazon Fulfillment Technologies (AFT) Inbound builds the systems that move inventory into Amazon's fulfillment network at massive scale. We're looking for a Software Development Engineer II with deep data Basic qualifications: - 3+ years of building complex software systems experience - Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field - Strong Python proficiency and experience with SQL at scale - Experience building and owning batch and streaming data pipelines in production environments - Experience with big data technologies (Spark, Hive, Presto, or similar distributed computing frameworks) - Experience building data models and ETL/ELT pipelines that serve both analytics/reporting and ML workloads (feature engineering, preprocessing, training data management) - Experience collaborating with science or ML teams to take models from prototype to production (training data preparation, feature delivery, model-scoring pipelines) - Experience with data quality, validation, or observability practices for production datasets - Experience using AI coding assistants or agentic development tools (e.g., Amazon Q Developer, Copilot, Kiro, or similar) to accelerate software delivery - Solid software engineering fundamentals (testing, CI/CD, code review, production operations) Preferred: - Experience deploying ML models to production environments - Experience designing and optimizing large-scale data architectures (data lakes, data warehouses, lakehouse patterns) - Experience with MLOps tooling (SageMaker Pipelines, Step Functions, MLflow, or similar) for operationalizing model training, scoring, and deployment workflows - Experience partnering cross-team with SDEs to design and ship ML-integrated services or systems - Experience using agentic workflows to generate, test, and iterate on code, infrastructure, or pipeline components at scale - Experience with prompt engineering and LLM APIs - Experience with ML evaluation frameworks (especially for generative AI / LLM outputs) - Experience with data lineage, cataloging, and observability tooling at scale - Experience with streaming data processing (Kafka, Kinesis, Flink) - Experience with data orchestration tools (Airflow, Step Functions, AWS Glue workflows) - Experience with infrastructure-as-code (CDK, CloudFormation, Terraform) - Experience building metrics and reporting infrastructure consumed by business stakeholders - Background in supply-chain, logistics, fulfillment, or operational environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our 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. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Bellevue - 143,700.00 - 194,400.00 USD annually
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Listed on amazon · posted 2026-09-29. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon, not by us.