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Build and scale AWS database services like Aurora and DynamoDB; design distributed systems, troubleshoot at scale, and improve customer experience for large-scale cloud infrastructure.
Build and automate resilient cloud infrastructure for AWS’s dedicated regions, using AI tools like Amazon Bedrock to reduce manual work and proactively solve reliability issues.
Lead large-scale capital projects for Amazon Air’s cargo network, coordinating cross-functional teams to expand and optimize global logistics infrastructure.
Build cloud-based detection systems for wireless threats at Amazon facilities, analyzing RF telemetry and security data to surface anomalies and validate security posture using Python, AWS, and AI-assisted workflows.
Lead cross-functional programs to deliver secure identity-verification and account-management solutions for Amazon’s global marketplaces, ensuring safe customer experiences and scalable compliance initiatives.
- Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 4+ years of PLC programming or automation engineering experience - Work a flexible schedule/shift/work…
QA engineer testing audio features on Linux/Android devices, writing test plans, and managing acoustic lab setups for Amazon’s consumer electronics like Echo and Fire TV.
Owns operational excellence and AI-powered program management for Amazon’s wireless connectivity hardware org, driving planning cadence, headcount/budget decisions, and executive communications across Echo, Fire TV, Ring, and next-gen devices.
Build, deploy, and maintain internal security services for Amazon’s cloud infrastructure, focusing on authentication, authorization, and enforcement at scale.
Lead a team to optimize CPU and memory performance for AWS cloud servers, collaborating with suppliers and internal teams to deliver high-performing hardware designs.
Build AI-powered tools that simplify and optimize Amazon’s data integration workflows using C++, Java, or similar languages.
Design and lead server hardware for AWS, collaborating with ODMs and cross-functional teams to deliver scalable, cost-efficient compute solutions for cloud infrastructure.
- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with one or more industry analytics…
Build real-time data services that power AI-driven ads at Amazon Advertising, including streaming pipelines, LLM profile generation, and multi-tenant authorization for millions of advertisers.
Design and build scalable authorization services (Maple, MySupport) that secure 24M employee records and 8.8B annual requests for Amazon’s People data platform.
Design and implement generative AI and business intelligence solutions using Amazon Quick, guiding customers to build scalable, secure cloud architectures and data-driven decision systems.
Build and maintain resilient AWS cloud infrastructure for government customers, automate operations with IaC/Terraform, and troubleshoot complex multi-service issues at scale.
Build and secure AWS Identity and Access Management services that authenticate and authorize millions of cloud workloads per second.
Build and maintain AWS’s internal data platform, designing ingestion pipelines, distributed compute workflows, and storage systems to process trillions of events monthly using Kinesis, EMR/Spark, and Redshift.
Lead content security for Amazon’s EMEA media productions, setting policies, auditing vendors, and running secure screenings to protect film/TV IP and prevent leaks.
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