AWS Technical Account Manager (TAM) role focused on guiding enterprise customers in adopting and optimizing AWS cloud services. The role involves acting as a trusted advisor, providing strategic technical guidance, ensuring operational health of cloud environments, and building strong customer relationships. It requires experience in cloud operations, technical engineering, and understanding customer business needs to drive value from AWS.

Software Development Engineer role focused on building scalable, distributed real-time systems for product sustainability and customer experience within Amazon's Returns team. Emphasizes core software engineering principles, distributed systems, and object-oriented design.

This role is for a Senior Business Intelligence Engineer focused on providing analytical capabilities and robust reporting frameworks for operations within Amazon's IN-ECCF regions. The engineer will conduct deep-dive analyses, unearth insights from data, and collaborate with stakeholders to drive process excellence. The role requires strong statistical knowledge, analytical abilities, business intelligence solutions experience, and data engineering practices.

Technical Account Manager (TAM) for AWS Enterprise Support, focusing on customer success in building applications and services on the AWS platform. Responsibilities include acting as a single point of contact, providing expert advice on AWS services, making service improvement recommendations, evaluating operational performance, championing customer requirements, and planning business-critical events.

Software Development Engineer II role at Amazon focusing on building and maintaining global payments products and solutions. The role involves designing and developing next-generation payment systems, managing a financial services ad serving platform, and contributing to a merchandising automation platform powered by machine learning for financial products. Responsibilities include backend service development, API design, system optimization, and ensuring production system health.

Software Development Engineer for AWS Marketplace, focusing on building and maintaining user-facing features with React.js and designing/developing server-side applications and APIs. The role involves creating scalable backend architectures, integrating third-party services, and collaborating with cross-functional teams to deliver high-quality technology products in a complex, hyper-growth environment.

This role is for a Senior UCIe PHY Expert to work on the design, integration, validation, and data center operation of AWS's next-generation machine learning silicon and servers. The focus is on hardware/software co-design for ML accelerators, specifically involving UCIe, SERDES, and high-speed analog technologies to create stable ML platforms. Responsibilities include collaborating with architects and software engineers, supporting debug and operations of ML chips, diving deep into IP integration and silicon bring-up, and developing scripts for daily tasks. The role also involves operational excellence, identifying and prototyping solutions, leading data collection, and mentoring team members.

This role is for a Sr. System Development Engineer focused on the Global Engineering team within Amazon's fulfillment centers. The primary responsibility is to vet and test robotics and automated systems before large-scale deployment, using methodologies like test-to-fail, discrete event modeling, and site integration testing. The role involves designing and leading experiments, rapid prototyping, data analysis, and developing lab infrastructure to ensure automated systems meet performance targets. While ML and robotics are mentioned as technologies used in the broader context, the core of this role is in system development, engineering, and validation of these systems, rather than direct AI/ML model development or deployment.

Senior Developer Advocate for AWS, focusing on empowering developers to use AWS services, including generative AI, through content creation, technical presentations, and community engagement.

Technical Program Manager to lead adoption of application security processes and improvements across internal customer teams at Amazon. This role involves planning, organizing, and managing the project lifecycle, collaborating with internal customers and security teams, architecting scope of work documents, and guiding the evolution of internal security support solutions. The TPM will also define and implement best practices, create business proposals and metrics, manage program risk, and foster a positive work environment.

This role focuses on designing and validating signal and power integrity systems for machine learning ASICs and hardware platforms for AWS datacenters. It involves extensive simulation and lab validation of high-speed interfaces and power delivery architectures, with a focus on ensuring system-level integrity and proposing innovative solutions for large-scale compute environments.

This role is for a Sr. Camera Architect at Amazon Lab126, focusing on designing complete camera solutions for next-generation consumer electronics. The architect will own end-to-end camera system design, including sensor selection, optics, illumination, and ISP integration, working at the intersection of hardware, algorithms, and user experience. Collaboration with cross-functional teams like computer vision and machine learning is expected, but the core focus is on hardware architecture and system design rather than AI model development.

This role is for a Delivery Specialist within AWS Security Assurance Services, focusing on helping enterprise customers address their security and compliance requirements using cloud-native technology. The role involves leading customer engagements, providing architecture and compliance guidance, and working with industry standards bodies. It requires expertise in security assessments, risk management, and leading teams to achieve continuous compliance in regulated industries. While the team touches on emerging technologies like Generative AI, the core function of this role is security and compliance assurance, not AI/ML development.

Seeking an experienced SAP developer with expertise in SAP Business Technology Platform (BTP), SAP Fiori, SAPUI5, RAP, CAP, AI-related BTP services, and ABAP for an SAP implementation project. The role involves developing custom solutions, enhancements, extensions, and user interfaces, with a focus on BTP-based application development, side-by-side extensibility, clean core principles, and intelligent application scenarios. Responsibilities include analyzing requirements, developing ABAP programs and Fiori applications, integrating various SAP services and external systems, and providing technical guidance on AI-enabled development.

Data Scientist III role focused on owning data science elements for products, including data-based decision making, performance optimization, and tracking. Responsibilities include translating business problems into data requirements, designing and implementing scientific analysis projects, and communicating results. Requires experience in building statistical and machine learning models with large datasets and leveraging scripting languages like Python.

Senior Software Engineer role focused on the design and development of new EC2 services for ML and HPC platforms, leading the SDN dataplane stack. The role involves technical leadership, architecture definition, and mentoring within the AWS Utility Computing organization.

Engineering Manager for SoC Firmware on AWS's custom ML accelerator chips (Trainium/Inferentia). The role focuses on the lowest layer of user-space software (HAL) that boots, configures, and manages hardware blocks on the chip. Responsibilities include managing a team, coordinating deliverables, owning bring-up for new chip tape-outs, prioritizing work, driving architecture, and shipping C++ codebase across multiple environments (simulation, emulation, production). The role requires deep expertise in low-level software, embedded systems, and hardware/software interaction, but not necessarily ML background.

Software Development Engineer role focused on building innovative solutions for Amazon's digital advertising products, working with partners and utilizing AWS, Kotlin, React.js, and Next.js. The role involves handling massive-scale streaming systems, machine learning, and data science to personalize user experiences and enable advertisers.

This role is for a Business Intelligence Engineer on the Deny Party Screening team at Amazon. The team's mission is to prevent denied parties from transacting with Amazon businesses by building automatic mechanisms using algorithms and machine learning techniques. The role involves owning reporting, analytical, and statistical projects, working with multiple data sources and technologies, and investigating new big data technologies. The engineer will design, implement, and support datasets, develop reports and dashboards, and analyze data to find root causes and drive business insights.

This role is for a Systems Engineer/Dev Ops Engineer within AWS Managed Operations, focusing on building, operating, and evolving services for the European Sovereign Cloud (ESC). The position involves ensuring high availability, reliability, and performance of AWS services like EC2, S3, Dynamo, Lambda, and Bedrock for EU customers. Responsibilities include overseeing operations, collaborating with global teams, enhancing day-to-day operations, and participating in on-call rotations. The role emphasizes automation, operational excellence, and customer satisfaction within a mature cloud computing environment.

This role focuses on developing and owning server-related firmware, specifically for Baseboard Management Controllers (BMC), within AWS's hardware engineering services. The goal is to enable high performance and scalability for AI/ML and HPC workloads by improving price-performance in cloud infrastructure. The engineer will work on embedded firmware and Linux driver development, contributing to the backbone of AWS's generative AI cloud offerings.

Software Development Engineer role focused on building sophisticated tools for Amazon's Consumer businesses, supporting deep dive analysis, vendor negotiations, and business planning. The role involves translating requirements into architecture and software solutions, coding, testing, and ensuring system quality, scalability, reliability, and performance. While not core AI development, it involves leveraging and integrating generative AI tools to enhance workflow and products.

This role focuses on the hardware engineering for AWS cloud servers, specifically those designed for AI/ML and HPC workloads. The engineer will be responsible for the design, development, testing, and operation of accelerated server segments, working with interdisciplinary teams and external partners to deliver these products at scale. The role involves understanding customer needs, architecting solutions, and overseeing the fleet's quality and performance post-launch.

This role focuses on developing and operating server-related firmware for AWS infrastructure, specifically for AI training and inference workloads. The engineer will work on Baseboard Management Controller (BMC) software, scripting, data center operations support, and Linux driver development, contributing to the backbone of AWS's Generative AI cloud offerings.

This role is for a Delivery Consultant at Amazon Web Services (AWS) Professional Services in the UK. The consultant will work with customers to design, implement, and manage AWS solutions, focusing on cloud migration strategies and providing technical guidance throughout the project lifecycle. The role requires expertise in AWS services, cloud infrastructure assessment, and migration tooling, with a strong emphasis on customer advisory and project delivery.

This role focuses on designing, implementing, and managing AWS solutions for customers, acting as a trusted advisor and guiding them through their cloud adoption journey. It involves technical expertise in AWS services, data lake architecture, ETL/ELT pipelines, and data warehousing.

Software Development Manager for Amazon's Payment Products team, focusing on co-branded and private label credit cards. The role involves leading a team of engineers, strategic planning, project management, and ensuring the delivery of innovative payment solutions. The team works on high-impact projects across the customer lifecycle, including AI-Native development, and collaborates with internal and external partners.

This role focuses on business intelligence and analytics for the EU Prime and Marketing organization at Amazon. The primary responsibilities involve understanding customer behavior, designing and conducting experiments, and providing insights to improve customer engagement, sales, and marketing efficiency. The role requires strong data analysis, SQL, Python scripting, and data visualization skills, with a focus on building scalable and robust analytical solutions.

Software Development Engineer II at Amazon Shipping, focusing on complex problems in worldwide transportation using workflows, optimization algorithms, and machine learning systems. This role involves working on large-scale distributed systems that handle millions of packages, improving existing services, building new ones, and developing deep algorithms to optimize network operations and customer experience.

This role involves deploying and servicing data center building automation systems, such as Building Management Systems (BMS) and Electrical Power Monitoring Systems (EPMS), to ensure the health and efficiency of AWS data centers. Responsibilities include overseeing new deployments, upgrading existing systems, providing local servicing expertise, and collaborating with various internal teams and external vendors.

This role focuses on Business Intelligence within Amazon's Global Supply Chain Optimization Technologies organization. The Business Intelligence Engineer will be responsible for enhancing inbound efficiency and predictions of supply chain sourcing inbound operations through business intelligence. This involves designing and maintaining data models and ETL pipelines, creating SQL queries, building dashboards, and collaborating with stakeholders to drive data-driven insights. The role emphasizes improving visibility into inbound freight, orchestrating inbound freight, and improving lead times. While the team mentions leveraging machine learning and big data technologies, the core responsibilities of this specific role are centered around data analysis, reporting, and business intelligence, not direct AI/ML model development or deployment.

Software Development Manager for Amazon's Devices Content and Advertisement team, focusing on reinventing how users enjoy content on TVs and Tablets. The role involves leading engineering teams, defining feature roadmaps, and delivering new products and features at Amazon scale, leveraging technologies like computer vision and machine learning.

This role focuses on analyzing large datasets to solve business problems, create reporting solutions, and drive operational enhancements within Amazon's Sourcing Performance Operations. It involves retrieving and analyzing data using SQL and other tools, monitoring and creating metrics, and supporting cross-functional teams.

Software Development Engineer role focused on the query processing team for Amazon Redshift, a cloud data warehouse. Responsibilities include designing and implementing new SQL features, distributed data processing algorithms, integration with other AWS services (including ML), performance analysis, and deployment in a cloud environment. The role involves working on a mission-critical, highly available system for enterprise customers.

This role is for a Sr. Lab Engineer at Amazon's Annapurna Labs, focusing on managing lab activities, improving lab automation, and providing technical support for machine learning hardware and software engineering teams. The role involves lab setup, maintenance, vendor management, and supporting product development projects, including AWS server integration. It requires strong problem-solving, organizational, and communication skills, with an emphasis on hands-on work and independent project delivery in a fast-paced environment.

This role focuses on designing and developing SOCs for AI workloads, specifically by automating design flows and building large-scale solutions to accelerate silicon development. The engineer will enhance and build design flows, collaborate with architects and designers, and evaluate/qualify new design tools.

Software Development Engineer II role at Amazon focusing on building and maintaining global payments products and solutions. The role involves designing and developing next-generation payment systems, managing a financial services ad serving platform, and contributing to a merchandising automation platform powered by machine learning for financial products. Responsibilities include backend service development, API design, system optimization, and ensuring production system health.

Software Development Engineer role focused on building systems for vendor funding within Amazon Retail, aiming to reduce costs and drive profitability. The role involves applying cutting-edge technology and potentially machine learning to complex business problems, with significant visibility and impact on Amazon's growth.

This role focuses on managing risk and compliance within Amazon's global transportation business. The Senior Risk Manager will develop and implement risk mitigation strategies, assess existing controls, and partner with cross-functional teams to ensure compliance with legal and contractual obligations. A key responsibility includes developing strategies for integrating AI and machine learning to enhance risk detection and mitigation capabilities, though the core function is risk management, not AI development.

Software Development Engineer II role in Amazon FinTech Treasury, focused on building a next-generation, horizontally scalable platform for managing financial transactions and identifying anomalies using machine learning. The role involves architecture, design, implementation, and deployment of large-scale big data applications, with an emphasis on building from scratch.

This role leads a team of Business Intelligence Engineers to define, track, and maintain key business metrics, develop scalable BI solutions, and oversee automated dashboards and reporting for operational performance and strategic decisions. It involves collaboration with Data Engineering, Hardware, and Software Development teams to optimize data solutions.

This role focuses on developing the low-level software stack (drivers, runtime libraries, communication software) for custom ML accelerators (SoCs). The engineer will work on SoC models, debug hardware/software interactions, and build tooling to support chip development and validation. While the chips are for ML, the role itself is systems software engineering, not ML model development.

This role focuses on building and owning C++ models of custom System-on-Chips (SoCs) for AWS's machine learning accelerators (Trainium and Inferentia). The models are used by RTL designers, verification engineers, and software teams throughout the silicon development lifecycle, impacting chip design, verification, and production. The role involves translating architecture specs into C++ models, validating against RTL, developing test infrastructure, and contributing to performance modeling. While the chips are for ML accelerators, the core craft of this role is hardware modeling and verification, not direct AI/ML model development or research.

Software Engineer to build and own virtual platforms (full-system C++ and SystemC models) for custom ML accelerator chips (Trainium and Inferentia), enabling software development before silicon availability. Role involves modeling subsystems, improving infrastructure, and supporting software teams.

Software Development Engineer (SDE-I) role focused on optimizing delivery options for millions of Japanese customers on Amazon.co.jp. The role involves designing, developing, and maintaining distributed systems that handle high-throughput, low-latency decision-making in a complex logistics domain, with a focus on consolidation and shipment optimization to reduce costs while maintaining customer experience.

Senior Solutions Architect for AWS ISV Canada, focusing on driving cloud adoption by architecting and advising customers on complex technical and business challenges. This role involves strategic customer engagement, technical leadership, and creating reusable assets.

This role focuses on Business Intelligence and Data Analytics within AWS Private Pricing. The engineer will be responsible for performance reporting, providing actionable insights, building analytical and forecasting models, creating dashboards, and driving automation to support business goals. The role involves collaborating with sales, finance, and other teams to identify reporting gaps and implement solutions, as well as executing complex ad-hoc analyses and architecting new processes. While the role mentions experience with data science and machine learning, its primary focus is on BI and analytics to support business operations, not on building or shipping AI/ML models as the core deliverable.

This role focuses on the physical design and layout of advanced IC packages for machine learning and data center ASICs. The engineer will execute package layout tasks from floor planning to tape out, working with various teams to meet performance and reliability targets. This involves implementing designs for advanced packaging architectures like 2.5D interposer and 3D-IC, performing routing for high-density interconnects, and collaborating on die-level optimization. The role requires experience with package layout tools and understanding of advanced packaging technologies and design rules.