דרושים Principal Tpm Data & Analytics Ops Tech Solutions ב-אמזון ב-United States, Austin

OpsTech Solutions is looking for experienced and dedicated team members to help manage the administration, maintenance, and development of the ServiceNow platform for the organization. The ideal candidate is innovative and has great problem-solving skills. You must be very comfortable working on core application administration, creating workflows, data management, scripting and process automation. You will need to work with non-technical and technical teams to translate business cases to scalable solutions for multiple teams. In addition, you’ll need to be able to clearly and effectively communicate to larger non-technical audiences on system changes and enhancements. You will be working in a hyper-growth environment where priorities shift quickly. You must be flexible and adapt well to a wide range of tasks and technologies.
Key job responsibilities- ITSM (IT Service Management)
- HAM (Hardware Asset Management)
- System Integrations
- Perform technical administration and maintenance of ServiceNow
- Interface with ServiceNow for all operational requests / issues / planning.
- Lead ServiceNow release upgrades including technical and stakeholder management activities.
- Work closely with Software Development Engineers to coordinate system updates, patches, and configuration changes.
- Provide user training related to ServiceNow processes, policies and procedures.A day in the life- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan

- Bachelors degree in Information Technology, Management Information Systems, Computer Science, Business or equivalent work experience.
- Certified ServiceNow Administrator (CSA) or other ServiceNow certification is required.
- 3+ years of direct experience with the ServiceNow platform as an administrator, developer and/or comparable role.
- 3+ years direct experience working with customers to understand requirements and implementing information technology solutions / initiatives.

- 5+ years experience in multiple areas of technology, including application administration, configuration, and/or data services.
- Proven experience Agile scrum/Kanban methodology.
- Experience with JavaScript, Perl or PHP is strongly preferred.
- Experience customizing or developing reports from data residing in relational databases.
- Experience with web service integrations using REST, SOAP, etc.
- ITIL Foundation certified or related experience preferred.

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
Key job responsibilities
As an experienced technology professional, you will be responsible for:- Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
- Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, 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.

- 8+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- 5+ years of experience hosting and deploying GenAI/ML solutions (e.g., for data pre-processing, training, deep learning, fine tuning, and inferences) or/and Data Science Experience
- 8+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python)

This position can be located in Austin, Seattle, or Arlington (DC).**Must be open to travel at least 30% including international**Key job responsibilities
- Develop solutions that make the best use of the AWS services like AWS EC2, EKS, ECS, SageMaker and other computing platform for GenAI practice.- Provide one-to-few and one-to-many training sessions to transfer knowledge to builder considering or already using AWS.- Build deep relationships with senior technical individuals within partners to enable them to be cloud advocates.- Be able to develop proof-of-concepts for solutions involving AWS services.
- Driving product integrations between partner products and AWS services
- Proving thought leadership in the form of publishing blog posts, public speaking, white papers and reference architecturesA day in the life
- Building and testing a Proof of Concept (PoC) or create a code sample.- Writing a blog post or white paper.
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 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

- 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
- Recent and demonstrable hands-on experience with AI/ML workloads.

- 5+ years of infrastructure architecture, database architecture and networking experience
- Knowledge of AWS services, market segments, customer base and industry verticals
- Experience working with end user or developer communities

As a Principal Partner Innovation Lead, you will drive transformative partnerships that position AWS at the forefront of the generative AI revolution. You will architect and execute a comprehensive partner innovation strategy, focusing on deep data partnerships with growing GenAI companies, model providers, and emerging technology leaders and next-generation AI startups.This role requires you to think beyond traditional consulting engagements and build the future of AI-powered enterprise solutions. You will be creating headline-worthy partnerships that fundamentally change how enterprises leverage their data with AWS services.Key job responsibilities
- Research & Development Leadership: Drive applied research initiatives that identify emerging AI trends, evaluate new model architectures, and develop forward-looking solutions that position AWS 2-3 years ahead of market demands- Market Intelligence & Trend Analysis: Continuously monitor the GenAI landscape for consolidation trends, emerging technologies, and partnership opportunities, particularly as the market evolves toward potential duopoly scenarios
Diverse Experiences
Amazon 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.Why AWS
Work/Life BalanceMentorship and 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.AWS Global Services

- 10+ years of leading complex, large-scale, IT, technical or engineering programs experience
- 10+ years of building profitable partner ecosystems experience
- Experience working with and presenting to C-level executives, IT, and lines of businesses across organizations or equivalent
- Experience with training and deploying machine learning systems to solve large-scale optimizations, or experience with data infrastructures: relational analytic DBMS, Elastic-Search, and Big Data EMR/EC2/Glue/Lambda
- Experience in venture capital, startup ecosystem, or technology scouting roles

- Deep understanding of enterprise data architectures and how GenAI solutions integrate with existing data infrastructure
- Experience with forward deployment engineering or embedded technical partnership models

This position can be located in San Francisco, Seattle, Arlington, New York, or Austin**Must be open to travel at least 30% including international**Key job responsibilities- Develop solutions that make the best use of the AWS services like AWS EC2, EKS, ECS, SageMaker and other communications platform for interactive voice response (IVR), automatic call distribution, and integration with other AWS services for data storage and analytics.- Provide one-to-few and one-to-many training sessions to transfer knowledge to builder considering or already using AWS.- Build deep relationships with senior technical individuals within partners to enable them to be cloud advocates.- Hands on experience and be able to develop proof-of-concepts for solutions involving AWS services.
- Driving product integrations between partner products and AWS services
- Proving thought leadership in the form of publishing blog posts, public speaking, white papers and reference architecturesA day in the life- Building and testing a Proof of Concept (PoC) or create a code sample.
- Writing a blog post or white paper.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 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

- 2+ years of design, implementation, or consulting in applications and infrastructures experience
- 3+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 4+ years of IT development or implementation/consulting in the software or Internet industries experience
- 2+ years of experience with Unified Communications and Collaboration role involving the design, development, and implementation of complex voice/video solutions. Recent and demonstrable hands-on experience with AI/ML, GenAI workloads.

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

• We offer employment year-round, part-time (16 hrs/week) while in school and full-time (40hrs/week) during summer. Working schedules are flexible and can be re-arranged each quarter to accommodate class schedules.
• We offer excellent mentoring. Our full-time data scientists, applied scientists and business intelligence engineers are willing and able to mentor exceptional student data scientists, applied scientists and BIEs.
• Jr. Data Scientists are given responsibilities and roles that prepare them to enter the workforce after graduation with “real world” data science and analytics experience.
Key job responsibilities
- Create pipelines for reports, analyze massive-scale data, leverage knowledge in machine learning, advanced analytics, metrics, reporting, and analytic tooling/languages like SQL, Excel, and others, to analyze and translate the data into meaningful insights; make sense of the results and be able to explain what it all means to key stakeholders like scientists, product managers, and engineers.

- Currently enrolled in an accredited college or university Master's program.
- Majoring in Data Science, Computer Science, or a related STEM discipline.
- Graduating in June 2027 and beyond.
- Ability to work year-round: part-time during the school year and full-time during the summer.
- This role is not offered as remote or hybrid and working hours must be conducted in our corporate office in Austin, TX.
- Living within commutable distance to Austin, TX.

• Previous technical internship(s).
• Effectively articulate technical challenges and solutions.
• Adept at handling ambiguous or undefined problems as well as ability to think abstractly.

Key job responsibilitiesAbout the team
Diverse Experiences
Amazon Security 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.Training & 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, training, 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
- 8+ years of IT development or implementation/consulting in the software or Internet industries experience

- 5+ years of infrastructure architecture, database architecture and networking experience
- Experience working with end user or developer communities
- Cloud Technology Certification (such as Solutions Architecture, Cloud Security Professional or Cloud DevOps Engineering)
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients