This role is for a Senior Business Intelligence Engineer at Amazon Leo, focusing on building analytics and data foundations for the global marketing engine. The engineer will design and build datasets, dashboards, and pipelines, manage backend data architecture in Customer Data Platform (Treasure Data), and ensure data accuracy and actionability across the customer journey. Responsibilities include architecting datasets, developing SQL transformations and data models, managing dashboards, conducting deep-dive analysis, translating business questions into analytical approaches, and driving alignment on KPIs and data governance. The role requires collaboration with various teams and involves strategic and technical decision-making.

This role is for a Technical Account Manager (TAM) within AWS Enterprise Support, focusing on helping enterprise customers design, build, operate, and secure their cloud environments. The TAM acts as a principal technical advisor, driving customer adoption of AWS services and ensuring operational health. While the company works with generative AI, this specific role is customer-facing technical support and strategy, not direct AI/ML model development or research.

This role is for a Cloud Solutions Consultant within Amazon Web Services (AWS) Professional Services (ProServe) team, focusing on National Security (NatSec). The consultant will work with customers to design, implement, and manage AWS solutions, provide technical guidance, gather requirements, propose migration strategies, and act as a trusted advisor on industry trends and emerging technologies. The role requires strong software/systems engineering, coding/automation, and design/architecture skills, with a focus on enterprise cloud adoption and customer success throughout their cloud journey. The position also involves knowledge sharing through mentoring and training.

Senior Software Development Engineer for AWS Marketplace, focusing on building and maintaining scalable backend services, APIs, and user-facing features using React.js. The role involves owning product features, influencing strategy, and collaborating with cross-functional teams to enhance the B2B marketplace platform.

The role focuses on the EMIR (Electromigration and IR Drop) sign-off of SoCs (System on Chips) for AI workloads, involving power grid design, analysis, and modeling. It requires collaboration with various engineering teams and EDA tool vendors to ensure quality and advance EMIR analysis methodologies.

This role is for an Application Engineer within Amazon's Retail Business Services (RBS) team. The team develops automation leveraging Machine/Deep Learning to scale complex tasks. The Application Engineer will work with business teams to solve support needs, translate requirements into deliverables, build scalable systems, maintain services, and contribute to operational efficiency. Responsibilities include on-call support, troubleshooting, and client onboarding.

Senior Manager for Trade Compliance in the APAC region for AWS Security, focusing on import/export regulations, process improvement, and stakeholder management.

This role focuses on data management, building data pipelines, analytical modeling, and data visualization using Python and SQL. It involves executing data management processes, retrieving and analyzing large datasets, taking ownership of reporting processes, building and maintaining KPIs, and identifying process improvements. The role is early-career and aims to develop expertise in data analytics and business intelligence within Amazon's Global Logistics Domestic First Mile operations.

Mechanical Design Engineer for Amazon Fulfillment Technologies (AFT) Quality team, focusing on designing modular data-collection systems with sensors, optics, and computer systems for installation in various Amazon network environments. Requires experience in mechanical design, CAD, and leading cross-functional projects.

Senior Software Development Engineer role within AWS Infrastructure Supply Chain Automation, focusing on designing, developing, testing, and deploying large-scale systems and services for fulfillment operations and inventory management. The role involves guiding teams, building roadmaps, and ensuring secure, scalable, and low-latency services within a hyper-growth cloud environment. While knowledge of ML/LLM fundamentals is preferred, the core responsibilities are in traditional software engineering for supply chain automation.

This role is for an Assurance Solutions Architect within AWS Security Assurance Services. The primary focus is on helping enterprise customers design, build, and operate secure cloud environments, with a specific emphasis on governance, risk, and compliance. The role involves advising customers on architectures that meet various industry standards and regulatory requirements, and demonstrating how to automate compliance in the AWS cloud. While the team works with the Generative AI Innovation Center, the core responsibilities are centered around security and compliance consulting, not direct AI/ML model development or deployment.

This role is for a Senior Cloud Technical Account Manager (TAM) within AWS Enterprise Support. The TAM acts as the principal technical advisor and 'voice of the customer' for enterprise clients, helping them design, build, operate, and secure their cloud environments. The role focuses on proactive strategic guidance, driving adoption of AWS services, and ensuring customers gain maximum value from AWS, rather than direct hands-on troubleshooting. While the company (AWS) is heavily involved in AI, this specific role is customer-facing and advisory, focused on general cloud services and adoption strategies, not directly building or shipping AI models or systems.

Software Development Engineer II for Amazon's Grocery In-store Technology team, focusing on building innovative solutions for the physical retail shopping experience. Responsibilities include designing and developing technologies in a large distributed environment, creating prediction solutions, and building scalable storage, index, and query systems. Requires 1+ years of professional software development experience and a Bachelor's degree. Preferred qualifications include knowledge of ML/LLM fundamentals.

Software Development Engineer, Lead Management and Account-Based Marketing Tech role at Amazon AWS. This role focuses on building and innovating a technology platform for ingesting, enriching, scoring, and passing leads to AWS Sales teams. It involves designing and implementing scalable end-to-end technical solutions using AWS tools, APIs, and Redshift, with a strong emphasis on software development lifecycle, technical leadership, and collaboration with stakeholders.

Amazon is seeking an SoC Emulation Engineer to work on the validation and verification of next-generation SoCs for their AI accelerator at edge, powering Echo devices. The role involves developing and executing test plans, designing test environments, and building emulation and prototype models, working closely with architects and design teams. Responsibilities include pre-silicon activities like developing test benches and infrastructure for emulation systems, and post-silicon activities such as bringing up early silicon and writing tests for performance and functional compliance.

Software Development Engineer role focused on building Human Machine Interfacing Platforms for automated material handling systems and warehouse automation. Involves designing and implementing backend services, APIs, and tooling for deployment, management, and monitoring of industrial control systems and robotics.

Security Engineer role focused on responding to security incidents within AWS, identifying threats, and improving security response capabilities through automation and engineering solutions. The role involves threat modeling, secure coding, and working with security controls.

Senior Test Engineer role focused on the development and testing of next-generation System-on-Chips (SOCs) for machine learning-enabled consumer products. Responsibilities include first silicon debug, defining test program flows, yield analysis, and supporting manufacturing test stages.

Software Development Engineer II role focused on solving complex problems in worldwide transportation using workflows, optimization algorithms, and machine learning systems within Amazon's global fulfillment network. This involves working on large-scale distributed systems that handle millions of packages.

Amazon Prime team is building an evergreen platform for real-time insights on traffic, sales, deals, and prime engagement. This role focuses on data engineering, architecture, design, and development of the data, metrics, and reporting platform for Prime, utilizing AWS technologies. The engineer will implement BI solutions, manage data infrastructure, and ensure timely and accurate data delivery.

This role is for a Senior Business Intelligence Engineer responsible for building and owning the operational analytics ecosystem for Amazon Now's Finance, Supply Chain, Delivery, and Under-the-Roof operations. The role involves defining KPIs, building data pipelines, developing dashboards, conducting deep-dive analyses, and creating self-serve analytics capabilities in a greenfield environment.

This role is for an Assurance Solutions Architect within AWS Security Assurance Services. The primary focus is on helping enterprise customers design, build, and operate secure cloud environments, with a strong emphasis on governance, risk, and compliance (GRC) as they migrate workloads and regulated data to the AWS cloud. The role involves understanding and addressing specific risk, regulatory, and compliance requirements, translating them into scalable solutions, and communicating with stakeholders at all levels. While the team works with generative AI innovation centers, this specific role is centered on security and compliance in the cloud, not on building or directly deploying AI/ML models.

This role is for an Assurance Solutions Architect within AWS Security Assurance Services. The primary focus is on helping enterprise customers design, build, and operate secure cloud environments, with a specific emphasis on governance, risk, and compliance. The role involves advising customers on architectures that meet various industry standards and regulatory requirements, and demonstrating how to automate compliance in the AWS cloud. While the team works with the Generative AI Innovation Center, the core responsibilities are centered around security and compliance consulting, not direct AI/ML model development or deployment.

Senior Software Development Engineer for Amazon's MLIL FLOW team, focusing on systems software for next-generation ML accelerator servers. Responsibilities include leading the design and implementation of hardware validation, diagnostics, and operational software for these servers, from silicon bring-up to fleet-scale deployment. The role involves working with hardware and other teams, debugging complex issues, building data pipelines, and mentoring engineers.

Mechanical-Thermal Design Engineer for ML training and inference accelerators, focusing on add-in cards, GPU sleds, and racks. Responsibilities include owning mechanical-thermal design, leading ODM/vendor engagements, debugging failures, conducting experiments, and site visits.

This role is for a Systems Engineer focused on Windows infrastructure within the AWS Region Services team in Australia. The primary responsibilities include designing, implementing, and automating complex Windows infrastructure solutions, managing Active Directory, and developing Infrastructure as Code. While the team works with AI and ML services, this specific role is centered on the underlying Windows systems engineering and automation, not direct AI/ML model development or deployment.

Senior engineering leader to build next-generation functionalities and infrastructure in AWS Identity, focusing on security and customer access control. The role involves leading a team, developing strategic roadmaps, and driving transformation across AWS engineering, potentially leveraging AI. Requires experience in building scalable and resilient systems, managing global footprints, and partnering with Product Management.

This role is for a Systems Development Engineer on the AWS Region Services team in Sydney, Australia. The primary focus is on supporting and refining system requirements, developing and delivering operability features like monitoring, diagnostics, and self-healing automation. The role involves managing and improving operations for scalable, high-availability cloud services, including participating in on-call rotations and incident resolution. While the team works with AI/ML, this specific role is centered on the engineering and operational aspects of secure cloud infrastructure, not direct AI/ML model development or research. It requires experience with automation, programming languages, Linux/Unix, and ideally with distributed systems, performance tuning, and infrastructure as code.

This role is for a Physical Design Engineer focused on custom SoCs for AWS Machine Learning servers, including Inferentia and Trainium Systems. The engineer will be responsible for full chip floorplan, placement, integration, signoff, and tapeout, collaborating with FE teams and using industry-standard EDA tools for physical verification. The role requires expertise in physical verification, semiconductor manufacturing processes, and successful tape-outs, with a focus on advanced technology nodes.

This role focuses on creating functional prototypes for Amazon's consumer devices and services, bridging design and engineering to innovate user experiences. It involves building interactive prototypes to validate design concepts, collaborating with cross-functional teams, and potentially integrating emerging technologies.

Software Development Engineer role focused on building and maintaining large-scale data pipelines, signal collection systems, and analytics infrastructure for Amazon Ads Traffic Quality. The role involves designing, implementing, testing, and deploying production-level systems to identify and mitigate invalid traffic (IVT) and fraudulent engagement patterns in programmatic advertising. It emphasizes operational excellence, delivering high-quality code, and collaborating with cross-functional teams.

Senior Solutions Architect for AWS Global Services in Australia, focusing on helping customers design, build, and operate cloud environments. The role involves technical consulting, relationship building, and acting as a trusted advisor to accelerate cloud adoption. It also includes evangelizing AWS services through content creation and community engagement, and providing feedback to product teams.

Software Embedded Development Engineer to design, develop, and optimize mission-critical embedded software for cloud infrastructure, working on custom silicon (e.g., Graviton, ML accelerators) and innovative networking solutions.

Senior Software Development Engineer on the AWS Commerce Platform team, responsible for designing, developing, and operating highly available, secure systems that handle confidential billing data at scale. The role involves contributing to growth by hiring engineers, ensuring architectural sanity, operational excellence, and quality, and working across teams to deliver platform features. Key focuses include protecting customer information, maintaining low latencies, and simplifying commerce complexity.

Software Development Engineer II for AWS Invoicing, focusing on designing, developing, and operating key system products and services in a large-scale, distributed environment. The role requires strong software development experience, system design and architecture skills, and the ability to work in an Agile/Scrum environment. While the company operates in the cloud space which includes AI/ML services, this specific role is focused on core invoicing systems and not directly on building or researching AI/ML models.

Software Development Engineer role within the AWS Commerce Platform team, focusing on building and managing the back and front-end services for AWS customers to purchase, understand, and manage their infrastructure costs. The role involves tackling scalability, performance, and distributed computing challenges, processing large volumes of data using stream processing and map-reduce techniques, and managing data with advanced database technologies. The team emphasizes work-life balance, mentorship, and an inclusive culture.

Embedded Software Engineer role focused on developing and maintaining firmware for Machine Learning Accelerator (MLA) servers, including BMC and SMC software, device drivers, and control systems. The role involves hardware/software co-design and supporting the physical systems that execute ML workloads, rather than developing ML algorithms themselves.

Senior Delivery Consultant for AWS Professional Services, focusing on cloud migrations and modernization. The role involves designing, implementing, and managing AWS solutions, providing technical guidance, and advising customers on cloud strategies and emerging technologies. Requires extensive experience in distributed systems, software development, cloud solutions, project management, and databases.

Lead a DevOps team responsible for Data Analytics and Machine Learning services within AWS, focusing on building and operating massively scalable distributed systems and cloud computing offerings. Requires strong leadership, technical ability, and experience in developing and operating platforms and services.

Reliability Engineer focused on Root Cause Analysis (RCA) and Failure Modes and Effects Analysis (FMEA) to identify and eliminate causes of failures, improve system reliability, and drive measurable improvements in uptime and performance. The role involves analyzing data, building dashboards, and collaborating with cross-functional teams to implement reliability improvements and enhance RCA/FMEA tools.

Reliability Engineer focused on RCA and FMEA to identify and eliminate failure causes, improve uptime and performance, and proactively identify risks through FMEA. Analyzes data to identify trends and systemic issues, builds BI dashboards, and drives cross-functional execution of reliability improvements. Collaborates with DevOps teams to enhance RCA/FMEA tools.

Senior Principal Software Engineer role focused on developing and optimizing Amazon's externalized shipping business. The role involves deep understanding of end-to-end fulfillment and transportation operations, strategic planning for system convergence, and leading complex, cross-cutting technical challenges. It requires influencing multiple teams, acting as a technical authority, and mentoring other engineers. While the role involves partnering with ML experts for optimizations, its core focus is on software engineering and operational systems within the shipping domain.

This role is for a Delivery Consultant on the Amazon Web Services (AWS) Professional Services team. The consultant will work with customers to design, implement, and manage AWS solutions, providing technical expertise and guidance throughout the project lifecycle. Responsibilities include architecting complex solutions, gathering requirements, proposing migration strategies, advising on industry trends, and leading implementation processes. The role requires a US Citizen with an active TS/SCI security clearance with polygraph.

Software Development Engineer II role at Amazon India Emerging Payments team to design and build a new Fintech Payments product from the ground up. The product will serve as a new payment gateway for millions of Amazon India customers, handling sensitive data at high traffic and low latency. The role involves learning and using AWS technologies, with opportunities to work on Machine Learning and interact with partners like Banks and NBFCs. The platform will be designed for other emerging economies, with potential for patent creation. Requires strong computer fundamentals and experience in large-scale distributed systems and web applications.

Technical Program Manager for AWS's AI Data Center Network Build team, responsible for end-to-end network delivery across US data center builds for ML workloads. This role involves coordinating construction, deployment, and validation of network infrastructure, working with network engineers, data center construction teams, and supply chain to ensure timely and accurate delivery of production fabric readiness for AI services.

Amazon Robotics is seeking an experienced Robotics Control Engineer to join their Motion Planning and Control team. The role involves designing, developing, and implementing real-time robotic systems for fulfillment centers, focusing on motion planning, control theory, and machine learning applications. Responsibilities include developing control code, system optimizations, and collaborating with hardware and software teams from prototyping to production. The position requires experience with robotics work cells, control systems, and programming languages like C++ and Codesys, with a focus on launching, testing, and debugging systems in lab and field environments.

This role is for a Senior Data Engineer/Architect focused on designing and building data lakes, data warehouses, and scalable data platforms in the cloud for public sector customers. The role involves translating business outcomes into data architecture and engineering solutions, optimizing data platforms, and acting as a trusted advisor on data technologies. While it supports ML solutions, the core focus is on data infrastructure and engineering, not direct AI/ML model development.