דרושים Data Engineering Manager Workforce Solutions 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

- 10+ years of building large-scale machine learning and AI solutions at Internet scale experience
- Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent)
- Experience building large-scale machine learning and AI solutions at Internet scale
- Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
- Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track

- 10+ years of practical work applying ML to solve complex problems for large-scale applications experience
- 5+ years of hands-on work in big data, machine learning and predictive modeling experience
- 5+ years of people management experience
- PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent)
- Experience in practical work applying ML to solve complex problems for large scale applications
- Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.The successful candidate will support the Data Center Physical Security Team with the implementation of AWS’s security policies and procedures at AWS Data Center(s). You will also be responsible for coordinating physical security operations, testing and conducting audit reviews of the Physical Security Program, provide support to the Contract Guard Force, contractors and all stakeholders within the Data Center. You will possess a willingness to learn new skills and build relationships with internal and external partners to maintain and enhance the safety and security standards of our Data Center operations. We invite candidates from diverse backgrounds to apply for this role as training will be provided.As a Data Center Security Manager, you will be tasked with running day-to-day data center security operations, supporting and executing security projects and programs, as well as assuring audit compliance with AWS policies and procedures.Key job responsibilities
Responsibility:
- Handle site security incidents, escalations, or any other security related issues.
- Provide after-hours on-call management support and participate in an emergent, large scale event response when needed.
- Participate in re-occurring data center security audits and reviews.
- Executes established compliance processes with AWS policies, standards, guidelines and relevant legal and regulatory requirements.
- Provides input on, and may develop security methodologies, policies and procedures.
- Write reports and communicate with management on the status of DC security operations.
- Oversee new security construction or retrofit projects.
- Manage the security P&L for the assigned site(s), assist management with financial analysis, and contribute to financial decisions for security requirements.- Direct and manage the contract guard force to run daily data center operations.About the team
Diverse Experiences
AWS 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 Growth
We’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

- Speak, write, and read fluently in English
- Bachelor’s degree or equivalent professional experience in security or related fields; i.e.,compliance, logistics, transportation, facilities among others
- 2+ years of commercial or industrial work experience.

Utility Computing (UC)Key job responsibilities
• Lead multiple software development teams focused on capacity management systems and automation
• Drive the technical vision for S3's capacity forecasting, procurement, and provisioning systems
• Collaborate with hardware engineering, supply chain, and data center teams to optimize capacity deployment
• Develop and maintain sophisticated forecasting models to predict S3's global capacity needs
• Own critical capacity management metrics and create data-driven strategies for infrastructure growth
• Design and implement systems for automated capacity provisioning and optimization
• Partner with Finance and Supply Chain teams to optimize infrastructure investments
• Lead continuous improvement in capacity planning accuracy and efficiencyDiverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.Work/Life BalanceMentorship & Career Growth
We’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.

- 10+ years of engineering experience
- 5+ years of engineering team management experience
- 10+ years of planning, designing, developing and delivering consumer software experience
- Experience partnering with product or program management teams
- Experience managing multiple concurrent programs, projects and development teams in an Agile environment

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.

Key job responsibilities
• Manage a team of Business Development Managers, including hiring and developing your team
• Drive revenue, adoption and market segment share for our product
• Earn trust of customers and recommend product solutions that fit their business needs
• Measure performance, articulate root-cause analysis and make recommendations for improvement areas
• Relay market needs and customer feedback to internal Amazon teams including Product Management and Technical
• Create program goals and metrics, track progress and manage through obstacles to achieve your objectives
• Assess risks, anticipate challenges and provide escalation management when necessary
• Meet or exceed targets for customer and/or feature spend adoptionA day in the life

- 10+ years of building and leading large teams and working in matrixed operating structures experience
- Bachelor's degree or equivalent
- Experience working and communicating with multiple stakeholders, C-level executives and cross functional teams or equivalent
- Experience in strategic thinking about business, enterprise software products, and new technology platforms and architectures or equivalent

- 5+ years of managing and developing high performance teams experience