דרושים Design Tools System Developer Kuiper Enterprise Technology ב-אמזון ב-United States, Bellevue

Kuiper Productivity Engineering (KPE) is seeking an experienced IT Application Engineer who will serve as the Subject Matter Expert (SME) for our Jama Requirements Management platform. This role will be responsible for the administration, optimization, and strategic development of our Jama implementation while supporting enterprise-wide requirements management processes.Export Control Requirements: Due to the need to access certain federal controlled information, you must be a U.S. citizen for consideration.Key job responsibilities
- Lead the technical administration and architecture of Jama Requirements Management platform- Design and implement integration solutions between Jama and other enterprise systems
- Develop and maintain best practices for requirements management processes
- Mentor junior engineers and provide technical leadership for Jama-related initiativesA day in the life
In this role, you will function as the primary administrator and SME for Kuiper's Jama service. You will operate and support the service, as well as developing automation for upgrades/patching/testing, and enhance observability of the system. You will work with stakeholders and senior engineers to design and develop custom solutions and integrations between tools and other services in a secure manner.

- 3+ years of hands-on experience with Jama Requirements Management platform administration
- Strong understanding of requirements management methodologies and best practices

Key job responsibilities
You are encouraged to think big, invent and take ownership on customer challenges. You will not only bring the best of AWS/ Amazon to our customers, you will proactively help solve the customer’s challenges through new ideas, tools and mechanisms.
Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 7+ years of leading large-scale, technical or engineering programs with a proven record of thought leadership, business case development, realizing customer benefits, and successful program completion experience
- Bachelor's degree in Computer Science, Engineering, Math, Operations Research, or a related field
- Knowledge of distributed applications and the engineering lifecycle from conception to delivery
- Experience in leading large-scale, technical or engineering programs with a proven record of thought leadership, business case development, realizing customer benefits, and successful program completion
- Experience in large-scale IT deployment or programming

Key job responsibilities- Design and deliver modern, flexible, scalable solutions to complex optimization problems for operating and planning satellite constellations- Design and implement production quality web applications that are secure and accessibility compliant.
- Mentor fellow engineers and contribute to building a strong engineering culture.Export Control Requirements:

- 2+ years of non-internship professional front end, web or mobile software development using JavaScript, HTML and CSS experience
- 2+ years of computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) experience
- Experience building scalable, distributed, front-end experiences
- 2+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience

- 2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience with AWS services used for front ends such as CloudFront, CloudWatch, S3, Lambda, DynamoDB, IAM, Cognito, etc.
- Experience with Java and SQL
- Knowledge of client-server architectures

The Amazon logistics Design Engineering team is seeking a versatile, solutions-oriented Design Engineer to drive new automation initiatives and develop the next generation of world-class industrial building designs. This is an exciting opportunity to tackle complex challenges with boundless innovation.
In this role, you will focus on integrating automation and robotics solutions into the design of warehouses and delivery centers. You will apply strong analytical skills to evaluate design options, optimize performance, and ensure the successful implementation of design projects. The role includes close collaboration with cross-functional teams to integrate new technologies and develop simulation models to support strategic decision-making.
We seek resourceful engineers who are critical thinkers and excel at cross-functional collaboration. You will work closely with internal and external stakeholders to design high-quality, cost-effective solutions for our delivery stations. You will be part of a team of highly skilled and engaged engineers in a fast-paced, often ambiguous environment.
Key job responsibilities
• Provide technical leadership for large-scale engineering projects, retrofits, and building designs
• Design and develop efficient layouts for warehouses and delivery centers, optimizing space and workflow
• Integrate automation solutions into facility designs, ensuring scalability and efficiency
• Collaborate with cross-functional teams to integrate new technologies
• Develop and utilize simulation models to evaluate design options and optimize performance
• Conduct spatial integration and trade studies for proposed designs and automation projects
• Ensure successful project implementation from concept through to design completion, adhering to timelines and quality standards
• Communicate effectively, execute the vision, and present detailed technical solutions to senior executivesA day in the life
A typical day involves diving into CAD software to create and refine delivery station layouts. You'll analyze high-level demand projections to inform design decisions, ensuring future scalability. Collaborating with operations teams, you'll translate workflow needs into practical designs. Expect to juggle multiple projects, participating in design review meetings and coordinating with architects and civil engineering on detail drawings. You'll troubleshoot design challenges, conduct capacity analyses, and stay updated on industry innovations. The role demands a balance of analytical thinking, creative problem-solving, technical expertise, and effective communication to meet operational goals and deadlines.

- 5+ years of directly managing and responsible for multiple large projects experience
- Experience and strong technical background in relevant fields of automated or non-automated material handling equipment
- Bachelor’s Degree in Industrial Engineering, Mechanical Engineering, or other STEM field
- 8+ years of experience as a Project Engineer, Process Engineer, Project Manager, Manufacturing Engineer, or related occupation
- Experience managing the lifecycle of cross-functional projects, implementing automated equipment and/or integrated systems
- Experience with CAD software (AutoCAD, REVIT, BIM 360, etc.)

Key job responsibilities
- Design, develop, and maintain control software applications for mechatronic systems using modern software development practices, including CI/CD pipelines and DevOps methodologies.
- Implement automated testing frameworks and deployment strategies to ensure code quality, reliability, and seamless integration of control systems software.
- Develop and optimize motion control algorithms, embedded programs, and real-time control systems for industrial automation.
- Drive operational excellence through monitoring, analysis, and continuous improvement of software performance metrics and system reliability.

- 4+ years of non-internship professional software development experience
- 2+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- 3+ years of professional software engineering & best practices for the full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence experience
- 2+ years of embedded software development experience
- Experience deploying, and supporting mechatronic systems

Export Control Requirement:
Key job responsibilities
* Collaborate with engineers across the organization to gather requirements, design, develop, deploy, and operate critical e-Commerce software for Kuiper.
* Work on initiatives building e-Commerce functions on AWS infrastructure and help implement best practices for software development.
* Develop code, build CI/CD pipelines, test automation, and dashboards for monitoring health of systems.
* Help engineers and build solutions which are required for provisioning and operating an Internet service providers.A day in the life

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

About Sponsored Products and Brands
Key job responsibilities
This role will be pivotal in redesigning how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront. Key responsibilities include, but are not limited to:* Contribute to the design and development of GenAI, deep learning, multi-objective optimization and/or reinforcement learning empowered solutions to transform ad retrieval, auctions, whole-page relevance, and/or bespoke shopping experiences.
* Collaborate cross-functionally with other scientists, engineers, and product managers to bring scalable, production-ready science solutions to life.
* Stay abreast of industry trends in GenAI, LLMs, and related disciplines, bringing fresh and innovative concepts, ideas, and prototypes to the organization.
* Contribute to the enhancement of team’s scientific and technical rigor by identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling.
* Mentor and grow junior scientists and engineers, cultivating a high-performing, collaborative, and intellectually curious team.A day in the life

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization.

- Proven expertise in Generative AI, foundation models, LLMs, and/or fine-tuning and customization for downstream tasks.
- Hands-on experience in ads ranking, retrieval, recommendation systems, search, or personalization at web scale.
- Deep understanding of multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF).
- Experience with online experimentation, A/B testing frameworks, and metrics design for advertising or e-commerce.
- Demonstrated ability to communicate complex technical topics clearly to both technical and non-technical audiences.
- Experience in computational advertising, including familiarity with auction theory, ad economics, and advertiser performance metrics.