Senior Delivery Consultant -Mainframe, AWS Professional Services

Amazon is hiring a Senior Delivery Consultant -Mainframe, AWS Professional Services in Sydney, Australia. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this role is Uses AI ●●○○: an ordinary role that requires AI tools.
Tools and skills the posting cites include AWS, Z Os and Cobol.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Lead enterprise mainframe migration and modernization projects on AWS, leveraging generative and agentic AI for code transformation.

AWSZ OsCobolDb2

cloud-migrationmainframegenerative-aiagentic-aiconsulting

AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and consistent support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.

The Amazon Web Services Professional Services (ProServe) team is seeking an experienced Senior Delivery Consultant — Mainframe Modernisation to join our team. In this role, you'll work closely with enterprise customers to assess, design, and deliver mainframe migration and modernisation solutions on AWS. You'll be a key player in driving customer success through complex legacy transformation journeys, providing deep technical expertise in mainframe technologies and modern cloud-native architectures throughout the project lifecycle.

Possessing a strong understanding of mainframe platforms (z/OS, COBOL, JCL, CICS, DB2, IMS) alongside AWS products and services, you will be proficient in architecting modernisation pathways — whether replatforming, refactoring, or re-engineering — tailored to meet the specific needs of each customer. You'll work closely with stakeholders to assess existing mainframe estates, evaluate application portfolios, and propose effective modernisation strategies that reduce technical debt, lower operational cost, and accelerate innovation on AWS.

As a trusted advisor to our customers, you will provide guidance on mainframe-to-cloud migration patterns, emerging technologies such as agentic AI and generative AI for code transformation, and industry-proven modernisation approaches. You will be responsible for leading the implementation process, ensuring adherence to best practices, optimising performance, managing risk, and enabling customer teams to operate independently post-migration.

The AWS Professional Services organisation is a global team of experts that help customers realise 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

A day in the life
AWS Professional Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.

Basic qualifications

- 5+ years of working with Enterprise Application Modernization and Migration technologies, including, but not limited to, Mainframe, Serverless, Containers, or Cloud Operations experience
- 7+ years of experience working with mainframe technologies (z/OS, COBOL, PL/I, JCL, CICS, IMS, DB2, VSAM)
- 3+ years of experience with AWS or equivalent cloud platform, particularly migration-related services (e.g., AWS Mainframe Modernization, DMS, SCT, Step Functions, Lambda)
- Experience with mainframe modernisation patterns: replatforming (Micro Focus, Rocket), refactoring to cloud-native, or automated code transformation
- Experience with database migration from mainframe systems (DB2, IMS, VSAM) to cloud-native databases (RDS, Aurora, DynamoDB)

Preferred qualifications

- 7+ years of mainframe and legacy systems experience
- 5+ years of experience leading or delivering application modernisation, legacy migration, or large-scale platform transformation programs
- 3+ years of experience with AWS services relevant to migration and modernisation
- Experience migrating mainframe data stores to cloud-native databases or data lakes
- 5+ years of external customer-facing consulting or delivery experience on complex, multi-stakeholder transformation programs
- Experience with application portfolio assessment, dependency mapping, and workload disposition (rehost, refactor, replatform)
- Exposure to AI-assisted code analysis, code transformation, or generative AI tools for legacy code understanding

Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.

IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● 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. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Delivery Consultant -Mainframe, AWS Professional Services is an open job at Amazon.
Level rates this role AI Level 2 of 4: Uses AI.
The role is based in AU, NSW, Sydney.
The job was posted on July 15, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Cloud MigrationMainframeGenerative AIAgentic AIConsultingAWSZ OsCobol

Questions you could be asked

Tell me about a project where cloud migration was part of your work. What did you do?
Tell me about a project where mainframe was part of your work. What did you do?
Tell me about a project where generative ai was part of your work. What did you do?
Tell me about a project where agentic ai was part of your work. What did you do?
Tell me about a project where consulting was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Cloud Migration, Mainframe, Generative AI, Agentic AI, and Consulting. 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.
Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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