דרושים Senior Partner Growth Manager Es Pt Fuse Emea ב-אמזון ב-Spain, Madrid

Key job responsibilities
Key job responsibilities
· Set up and review initial geotechnical site studies and feasibility reports
· Support Design Engineering team in their relationship with European expertise providers
· Site visits supporting construction phase for geotechnical issues
· Work on recommendations white papers and review reports
· Compile and organize project updates, details and schedules in a reportable format.
· Escalate concerning issues on projects (such as delays, insufficient information, budgets, etc.).
· Assist Cost Estimation team in budget evaluation for the geotechnical part
· Ownership or participation of design team meetings and design workshops
· Obtain and document all specifics regarding projects from site selection and transaction management. Research and compile all available information for site.
· Maintain repository for all pre-construction work product by site. Ensure all documents are uploaded appropriately.
A day in the life
Each day, you will represent AWS in ensuring the on-time and within-budget execution of Amazon projects, while strategically improving its processes, costs, quality, health and safety, and sustainability performance.
You will drive significant communication across departments, to front-line and executive-level managers, while serving as an authority on project issues.
You will leverage your experience and tools to understand where gaps exist in project plans and propose solutions.
You will be understanding and negotiating technical solutions with contractors and consultants, representing AWS's interests. Daily tasks may comprise site validation, due diligence, risk analysis, and cost negotiations.
You will act as the primary escalation point for the evaluation of the feasibility of potential geotechnical solutions, owning and tracking issues to ensure that they are addressed, documented, and resolved, using influence to manage team members.
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 Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which isMentorship & 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.

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:
1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. 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.

-5+ years of experience with direct customer (internal or external) interaction with responsibilities in AI / ML / GenAI solutions design, architecture and implementation (AmazonQ, Bedrock, Sagemaker as a Product and Data Governance including Data quality and controls, etc.
-A minimum of 3 years working experience in ASEAN region, and ability to travel to customer locations in ASEAN as needed for pre-sales and delivery activities.
-Ability to think strategically about business, solutions and technical challenges.

-5+ years Technical experience preferred, knowledge of Data Technology stack of AWS and integration with Machine Learning and Generative AI
-Industry experience with key vertical markets such as Financial Sector, Telecom, and Retail.
-AWS Experience and Certifications, including implementation of cloud-based Data and Analytics solutions.
-Ability to understand and educate customers on cloud computing technologies and workload transition challenges.

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.In this role you will be capable of using GenAI and other techniques to design, evangelize, and implement and scale solutions for never-before-solved problems.Key job responsibilities
1. Lead end-to-end delivery of complex AI/ML engagements, from strategic planning through to pre-production deployment and optimization
2. Architect and implement advanced solutions leveraging AWS's AI/ML services, with particular focus on Generative AI using Amazon Bedrock and SageMaker
3. Provide technical leadership and mentorship to junior consultants while driving best practices across delivery teams5. Drive innovation in applied AI/ML, contributing to methodologies and reusable solutions across the practice
6. Influence customer AI strategy through technical expertise and industry insights8. Provide thought leadership in internal and external engagements
9. Support pre-sales activities to provide technical expertise and review project scoping and risksAbout 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

- Strong experience in building large scale machine learning or deep learning models and in Generative AI model development
- Experience in data and machine learning engineering and cloud native technologies
- Strong experience communicating across technical and non-technical audiences
- Strong experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation

- Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science
- Knowledge of the primary AWS services (ec2, elb, rds, route53 & s3)
- Experience with software development life cycle (sdlc) and agile/iterative methodologies
- Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet

Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.We're looking for a Mechanical Engineer with a background in mechanical design of spacecraft components, precision testing equipment, tooling and fixtures. The role is within the propulsion team, and the ideal candidate has experience in mechanical spacecraft hardware from conception through flight qualification, with understanding of materials and processes, GD&T, and design to dynamic and thermal requirements. Favorable consideration given for experience developing components, assemblies, and mechanisms for operation in high-vacuum environments. Propulsion background is desired but not required, and the position offers opportunity for a strong candidate to join an exciting project in the field of spacecraft electric propulsion. This is a hands-on role for a highly collaborative individual that combines superb technical, and analytical capabilities to transition theoretical guidance and requirements into performant hardware optimized to be lightweight, cost effective and manufacturability.Key job responsibilities
* Mechanical design of propulsion subsystem, sub-systems and test-fixtures.
* Collaborating with the propulsion team to deliver low-mass and low-cost designs optimized for manufacturability in volume.
* Generate detailed designs and conduct/enable thermal modelling along with static, dynamic and modal structural analysis as needed.
* Support integration of designs into propulsion performance models.
* Tolerance analyses and verification of critical clearances for sub-system components.
* Preparation and documentation of materials for design review gates.
* Support and/or lead root cause and corrective action plans in result of manufacturing non-conformances.
* Contribute to the propulsion system development and maturation to high volume manufacturing by generating and maintaining procedures including: part/ component acceptance tests, assembly procedures and, qualification test plans.

- 4+ years of working in mechanical engineering or equivalent experience
- Experience with prototyping and implementation
- Bachelor's degree in mechanical engineering or equivalent

- Experience in the design of complex mechanical products and equipment at volume
- 3+ years experience CAD software expertise (Siemens NX, SolidWorks, etc.)
- 1+ year experience with GD&T per ANSI Y14.5M
- Tooling design
- Flight hardware experience
- Stress analysis
- High volume manufacturing
- Knowledge of machining processes, design for manufacturing
- Advanced degree (Master’s or PhD) in structural or mechanical engineering or related discipline

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.In this role you will be capable of using GenAI and other techniques to design, evangelize, and implement and scale solutions for never-before-solved problems.Key job responsibilities
1. Lead end-to-end delivery of complex AI/ML engagements, from strategic planning through to pre-production deployment and optimization
2. Architect and implement advanced solutions leveraging AWS's AI/ML services, with particular focus on Generative AI using Amazon Bedrock and SageMaker
3. Provide technical leadership and mentorship to junior consultants while driving best practices across delivery teams5. Drive innovation in applied AI/ML, contributing to methodologies and reusable solutions across the practice
6. Influence customer AI strategy through technical expertise and industry insights8. Provide thought leadership in internal and external engagements
9. Support pre-sales activities to provide technical expertise and review project scoping and risksAbout 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

- Strong experience in building large scale machine learning or deep learning models and in Generative AI model development
- Experience in data and machine learning engineering and cloud native technologies
- Strong experience communicating across technical and non-technical audiences
- Strong experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation

- Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science
- Knowledge of the primary AWS services (ec2, elb, rds, route53 & s3)
- Experience with software development life cycle (sdlc) and agile/iterative methodologies
- Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet

The role is based in Madrid and will require some international travel.Key job responsibilities
As a technology leader for IBA you will be responsible for driving the technical direction for 4 teams. You will be leading core product development to create and enhance services, and enable innovation and process improvements on these services. You will also work closely with other software development teams within Amazon to lead changes through their systems.

- Experience in planning, designing, developing and delivering consumer software
- Experience managing multiple concurrent programs, projects and development teams in an Agile environment
- Experience managing engineers
- Experience partnering with product and program management teams
- Experience in engineering
- 10+ years of software engineering and product delivery experience
- Proficiency in at least one modern programming language such as C++, C#, or Java
- Background in algorithms and high performance distributed systems
- Experience in management
- Excellent (English) communication and analytical skills, Spanish is not required

- Experience designing and developing large scale, high-traffic applications

Basic Qualification:* Design and build tools to improve overall service availability and operational stability.
* Collaborate with service teams to achieve Full Continuous Deployment of tier 1/tier 2 services.
* Improve service resiliency by managing security, availability and other risks.
* Own Infrastructure Market Rate for all services on the team, exploring efficiency opportunities across various products/platforms.
* Own the initiatives to reduce operational burden and improve the quality of resolution to customer contacts.
* Own and operate the entire production operational space including monitoring, alarming, dashboard generation, documentation and other engineering excellence areas.
* Collaborate with service teams on design reviews, to make the product platform robust and scalable.Preferred qualifications:* 3yrs+ Experience with DevOps engineering, systems administration or back-end software development in a Linux/Unix environment
* 3yrs+ experience in Java, Ruby, or Python
* Experience with Relational, Object-Relational, and non-relational databases
* Ability to dive deep to analyze complex issues, solve problems, and automate repetitive tasks
* Proven ability to troubleshoot large distributed systems and dive code to identify root causes
* Experience with service-oriented architecture and current web service technologies
* Experience building and supporting distributed systems running on complex, large-scale networks
* Experience building with AWS services (S3, DynamoDB, CloudFront, EC2, Lambda)
* Able to work in a diverse team
* Excellent documentation skills
* Excellent problem solving skills with a strong attention to detail
* Experience with agile software development practices

- Experience in automating, deploying, and supporting infrastructure
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience with Linux/Unix

- Experience with CI/CD pipelines build processes