Case Mgr Us-pr Seasonal jobs at Amazon in United States, San Jose

- 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
- 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) 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

This is a contractual role for 11 months
This is an individual contribution (IC) role with no direct reports.Essential Responsibilities:• Initiate and respond to inquiries about leave and disability events, benefits, and options available to employees
• Serve as a point of contact for assigned employees to provide holistic case management services, including reviewing medical documentation to adjudicate leaves in compliance with the corresponding leave plans, federal and state laws and benefit plans as defined by Amazon
• Leverage duration guidelines, best practice tools and Amazon resources to support oversight of a leave event as appropriate
• Critically assess and adjust the case management plan to an employee’s changing needs
• Address and respond to sensitive situations
• Troubleshoot issues and seek to remove barriers before, during, or after a leave event
• Respond to employee impacting issues that may arise during the leave event and ensure the right communication occurs
• Identify and solve problems that may arise, sometimes with limited information
• Facilitate a smooth return to work and ramp-back plan for employees returning to the workplace
• Educate managers and business partners on employee concerns and needs prior to being off or returning back to work
• Communicate regular updates to employees and stakeholders both verbally and in writing
• Ensure compliance with standard work, federal/state regulations, and company policy
• Maintain system records to ensure accurate and timely information/documentation
• Consult, coordinate and partner with our third party administrator, HR, Safety, Legal, Payroll, Benefits, team members and other departments/systems as appropriate
• Other duties as assigned

2+ Years of experience in Human Resources, Claim Management or Leave & Disability management rolesIntermediate proficiency in MS Word, Excel and Outlook

• Basic US legislation Leave of Absence, Disability and/or Accommodations knowledge, specifically ADA/ADAAA and FMLA• US Workers' Compensation process knowledge• Experience providing guidance to employees or managers on leave of absence, disability plan, accommodation, human resources, benefits, or employee matters• Strong time management and ownership of deliverables Strong & demonstrated communication skills - verbal as well as written Prior Leave and/or Accommodations experience, to include: previous work in a leave of absence and/or disability claim management role, with experience using case management systems, reviewing cases for eligibility, determining the appropriate leave and/or disability pay benefits that apply to a specific situation, and establishing/executing a case management plan.• Ability to apply critical thinking and identify issues for problem solving• Ability to build strong relationships and influence others while working in a cross functional environment• Experience working multiple projects or cases independently in environment with changing priorities• Experience working with confidential information

Key job responsibilities
- Perform acceptance testing of spacecraft propulsion systems and subsystems
- Support the continued development and improvement of test infrastructure and methods
- Support development and review of test processes and procedures
- Help ensure a high level of quality is maintained while meeting increasing production rate targetsExport Control Requirement:
Candidates must be 18 years or older with the ability to understand and adhere to all job requirements and safety guidelines.A day in the life

- High school diploma, GED or equivalent work experience
- 2+ years of relevant hardware testing experience
- 2+ years of hands-on work experience with electronic test equipment such as data acquisition devices, oscilloscopes, digital multimeters, and power supplies

- Experience testing aerospace hardware
- Experience working with vacuum and/or pressurized gas systems
- Experience with test execution software such as TestStand, LabView, and Python
- Experience with testing of production hardware designed for space environments
- Experience building up test racks and infrastructure
- Experience working with FOD, ESD sensitive hardware and clean room requirements
- Ability to rapidly change roles/responsibilities while working in a high-paced, challenging work environment

AWS is looking for a Machine Learning Solutions Architect (ML SA), who will be the Subject Matter Expert (SME) for helping Restaurants, Retail and Consumer Packaged Goods (RRCG) customers design solutions that leverage our ML services. As part of the team, you will work closely with customers to enable large-scale use cases, design ML pipelines, and drive the adoption of AWS for the AI/ML platforms. You will interact with other SAs in the field, providing guidance on their customer engagements, and you will develop white papers, blogs, reference implementations, and presentations to enable customers to fully leverage AI/ML on AWS. Additionally, as the voice of the customer, you will work closely with the service teams, and submit product feature requests to drive the platform forward.You must have deep technical experience working with technologies related to artificial intelligence, machine learning and/or deep learning. A strong mathematics and statistics background is preferred in addition to experience building complex machine learning models. You will be familiar with the ecosystem of software vendors in the AI/ML space, and will leverage this knowledge to help AWS customers in their selection process.Key job responsibilities
- Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc. Participate as a leader in AWS technical communities.
- Thought Leadership and External Representation: Serve as a thought leader in the Generative AI space, representing AWS at industry events and conferences, such as AWS re:Invent.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

- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Key job responsibilities
- Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc. Participate as a leader in AWS technical communities.
- Thought Leadership and External Representation: Serve as a thought leader in the Generative AI space, representing AWS at industry events and conferences, such as AWS re:Invent.
About AWSDiverse 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

- 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing
- Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications

- Knowledge of distributed systems design and implementation or equivalent
- Knowledge of large scale automation and workflow management or equivalent
- Knowledge of database design and implementation or equivalent
- Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers
- Experience architecting, migrating, transforming or modernizing customer requirements to the cloudPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.