SDE II , AWS IoT Fleet Management

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide Basic qualifications: - 3+ years of non-internship professional software development experience - Bachelor's degree or equivalent - Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence - • Strong Linux and systems-level skills including production debugging across the hardware–software boundary - • Practical distributed-systems experience including state machines, idempotency, reconciliation, retries, and persistence - • Ability to design offline-first and reconnect-and-reconcile behavior for edge systems operating without guaranteed connectivity - • Experience developing cloud-side services that orchestrate, monitor, and coordinate with fleets of edge devices - • Track record of independently owning a substantial subsystem end to end from design through production - • Ability to author solid design documents and make sound architectural decisions without being handed the architecture - • Experience with fleet management or OTA update systems including staged rollout, rollback, pause-resume, and dependency handling Preferred: - • Experience with containers at the edge (containerd, K3s, KubeEdge) and judgment on where full Kubernetes is inappropriate for constrained environments - • Hands-on experience with heterogeneous compute platforms (x86, ARM, GPU, NPU) and accelerator or model versioning - • Exposure to robotics frameworks such as ROS 2, DDS middleware, NVIDIA Jetson, or Isaac - • Experience with secure OTA frameworks (TUF, Uptane) and hardware security primitives (TPM, HSM, secure boot) - • Background in reliability-critical domains such as automotive, autonomous vehicles, industrial IoT, avionics, or telecom edge - • Experience with large artifact or model distribution including caching strategies and bandwidth optimization - • Familiarity with AWS IoT, AWS IoT Greengrass, or cloud-based device management services 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, Seattle - 143,700.00 - 194,400.00 USD annually