Senior Delivery Consultant - Mainframe, AWS Professional Services
Amazon is hiring a Senior Delivery Consultant - Mainframe, AWS Professional Services in Madrid, Spain. Level rates it ; you can apply on Level.
AI in this role
Lead mainframe estate assessment and cloud modernisation implementations on AWS.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in leading large-scale portfolio assessment and application disposition for enterprise data centre exit programmes spanning multiple countries and regulatory jurisdictions. You'll work closely with stakeholders to gather requirements, assess current infrastructure through discovery tooling and application owner interviews, and propose effective migration strategies to AWS — assigning R-strategies (Rehost, Replatform, Refactor, Retire, Retain, Relocate) and designing wave plans that respect dependency groupings, capacity constraints, and regulatory frozen zones. As trusted advisors to our customers, providing guidance on migration best practices, risk mitigation, and innovative solutions, you will be responsible for leading the end-to-end migration assessment process, ensuring adherence to AWS well-architected principles, optimizing wave sequencing, and managing risks throughout the programme lifecycle.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
As an experienced mainframe modernisation professional, you will be responsible for:
- Leading the assessment and discovery of customer mainframe estates, including application portfolio analysis, dependency mapping, and modernisation readiness evaluation
- Designing and implementing modernisation solutions on AWS — including replatforming, refactoring to cloud-native services, and automated code transformation approaches
- Providing deep technical guidance on mainframe technologies (COBOL, PL/I, JCL, CICS, IMS, DB2, VSAM) and their AWS equivalents throughout project delivery
- Collaborating with customer architects, development teams, and business stakeholders to define migration waves, prioritise workloads, and manage cutover risk
- Acting as a trusted advisor to customers on mainframe modernisation trends, including AI-assisted code transformation, automated testing strategies, and incremental migration patterns
- Sharing knowledge within the organisation through mentoring, training, and creating reusable artifacts such as modernisation playbooks, assessment frameworks, and reference architectures
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 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.
Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
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 - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
The position may require up to 50% travel to customer sites.
Basic qualifications
- Speak, write, and read fluently in English
- Bachelor's degree in Computer Science, Engineering or a related field, or equivalent professional or military experience
- 5+ years of hands-on experience with mainframe technologies (e.g., z/OS, COBOL, PL/I, JCL, CICS, IMS, Db2, VSAM)
- Experience delivering mainframe migration or modernization projects (e.g., re-host, re-platform, refactor, replace)
- Experience in solution design and architecture, including cloud (AWS or equivalent), systems, networking and operating systems
- Software development experience with object-oriented languages (e.g., Java, C#)
- Experience delivering complex, large-scale, customer-facing projects (external or internal)
Preferred qualifications
- Experience with mainframe modernization tools (e.g., AWS Transform, AWS Mainframe Modernization, Blu Age, Rocket Enterprise Server)
- Experience using AI-powered and agentic tools (e.g., Kiro, Claude Code) to speed up code analysis, transformation and testing
- Experience migrating mainframe data (e.g., Db2, VSAM, IMS) to relational databases (e.g., Amazon Aurora, PostgreSQL)
- Experience across a wide range of AWS services, including containers and serverless (e.g., EC2, RDS, EKS, Lambda)
- AWS Professional level certifications (e.g., Solutions Architect Professional)
- Experience with batch modernization, data replication and integration (e.g., Kafka, Kinesis, Precisely)
- Experience with CI/CD and DevOps practices for mainframe and modernized applications
- Experience in functional equivalence testing and cutover planning for mission-critical workloads
- Experience in financial services, ideally in large-scale migration programmes
- Strong communication skills with technical and non-technical audiences
- Professional working proficiency in Spanish is a strong advantage
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
How we rate this
Senior Delivery Consultant - Mainframe, AWS Professional Services at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where mainframe modernization was part of your work. What did you do?
- Tell me about a project where cloud migration was part of your work. What did you do?
- Tell me about a project where portfolio assessment was part of your work. What did you do?
- Tell me about a project where software refactoring was part of your work. What did you do?
- Walk me through how you've used Claude in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Mainframe Modernization, Cloud Migration, Portfolio Assessment, Software Refactoring, and Claude. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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