Senior Mainframe Migration Consultant Proserve Center Excellence jobs at Amazon in Spain, Madrid

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

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

- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
- Experience in cloud architecture and implementation

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.Minimal Travel Required. You are expected to be onsite at a minimum five days a weekThis position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work.Key job responsibilities
- Technical Infrastructure: Deploy, manage, and support large-scale Windows and Linux environments, including virtualization platforms and networking components
- Automation & Development: Create and maintain automation solutions using PowerShell, Python, or Bash, focusing on scalable deployment processes and infrastructure management
- System Design: Architect and implement secure, scalable solutions while considering system interdependencies and limitations
- Problem Solving: Analyze complex technical issues and develop effective solutions through root cause analysis
- Security & Compliance: Identify security risks, develop mitigation plans, and participate in compliance efforts
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.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

- Associate's degree, or Cloud+ or GICSP (Global Industrial Cyber Security Professional) or GSEC (GIAC Security Essentials) or SSCP (Systems Security Certified Practitioner)
- 2+ years for Windows systems engineering with emphasis on scripting/coding
- Current, active US Government Security Clearance of Top Secret with SCI eligibility or above

- IT infrastructure and networking expertise
- Proficiency in automation and scripting (PowerShell, Python, or Bash)
- 2+ years for Linux systems engineering with emphasis on scripting/coding
- Experience in data center or mission-critical environments
- Strong documentation and communication skills

You will build deep relationships with customer supply chain experts and IT to enable them to leverage the AWS cloud to build solutions rapidly and accelerate business value.Possessing a strong business acumen and project management experience, you will be expected to deepen your technical skills to allow you to identify technical risks that might impact value delivery. You will achieve and maintain relevant AWS certifications and effectively communicate technical concepts to business audiences. As you progress, you’ll lead increasingly complex transformation projects, shape cross-organizational delivery strategies, and establish best practices approaches in your domain. In this role you will apply your management and leadership capabilities to successfully develop and execute project plans, proactively identify and manage risks, resolve issues, escalate when appropriate, and drive projects to successful completion, while exceeding customer expectations.Key job responsibilities
As an Industry Consultant (Energy Supply Chain) in our Energy & Utilities practice, you will be responsible for:• Leading supply chain conversations across all energy domains to identify opportunities to transform end to end business processes of our customers
• Support the business to think about their problems in an Amazonian and innovative way driving business outcomes
• Designing and delivering business transformation projects using digital technology
• Using your consulting skills to think big and bridge business requirements with technical solutions, facilitating engineering discussions and ensuring alignment with customer business outcomes
• Supporting the distillation of customer needs into clear business outcomes and helping to convert this into technical requirements
• Building deep relationships with business and technical customers and acting as a trusted advisor within the supply chain function
• Building your knowledge of AWS services, architectures, and best practices to guide technical decisions and strategic planning
• Enabling complex teams of customer, AWS and partnerAbout 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

• Bachelor’s degree in business or an Engineering field (preferably related to Energy Management) or Computer Science. 5 years + of total professional experience, with a minimum of 3 years spent in supply chain disciplines delivering business change
• Proven consulting experience in taking projects from ideation, development of the business case, project/programme design, delivery and value realisation. Demonstrated ability in Energy domains and experience of technical implementation of solutions
• Ability to manage the delivery of projects on time, budget and cost. Fluency in Spanish and English

• Understanding of cloud and certifications (Cloud Practitioner) in AWS. Core understanding of the capabilities of GEN AI, mathematical optimization and machine learning to support optimisation of supply chains
• Experience of core supply chain infrastructure set-up (supply chain strategy) as well as supply chain operations. Experience of managing technical solution implementations and a base understanding of technology and architecture best practice to ensure effective hand-off and solutioning with technical consultants
• Additional European languages a plus (Portuguese, French, Italian)