Mainframe Migration Specialist, Google Cloud

Mainframe Migration Specialist, Google Cloud _corporate_fare_ Google _place_ Austin, TX, USA Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Minimum qualifications: + Bacheloru2019s degree in Computer Science, a related technical field, or equivalent practical experience. + 5 years of experience with z/OS or midrange (AS/400) environments, including COBOL, JCL, CICS, DB2, VSAM, or Assembler. + 5 years of experience delivering migrations to a cloud provider. + Experience with automated conversion tools (e.g., Cloud G4/mainframe refactor, blu age, or mLogica). + Experience in modern target languages, specifically Java, Go, or Python. + Experience building or using AI Agents and LLM-based frameworks to automate software engineering tasks. Preferred qualifications: + Experience implementing CI/CD pipelines for modernized mainframe applications using Jenkins, GitLab, or Cloud Build. + Experience in high-fidelity testing and validation strategies, including data synchronization between DB2/IMS and Cloud SQL/Spanner. + Ability to analyze complex legacy systems and provide decisive technical leadership in high-pressure environments. About the job As a Mainframe Migration Specialist at Google Cloud, you will be at the forefront of the industryu2019s most complex digital transformations. You won't just be advising, you will be leading the delivery of end-to-end migration projects that move mission-critical workloads from legacy mainframe environments to Google Cloud Platform (GCP). In this role, you operate as a player-coach. You will architect the solution, directly with the code, and leverage Googleu2019s cutting-edge agentic AI frameworks to automate the refactoring and reimagination of legacy applications. You will be the technical lead for a pod of engineers, ensuring that delivery timelines are met while maintaining the highest standards of system reliability and performance. Google Cloud accelerates every organizationu2019s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Googleu2019s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $147,000-$216,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (. Responsibilities + Own the execution of mainframe-to-Google Cloud platform (GCP) migration projects, from initial assessment and discovery, proof of concepts and to final cutover and hypercare. + Actively perform code refactoring, data migration, and application modernization. You will lead patterns including rehosting (emulation), re-platforming, and refactoring using automated tool sets. + Implement and optimize Agentic AI workflows to accelerate legacy code analysis and transformation. You will use Google Gemini-powered tools to automate documentation, test case generation, and legacy languages to cloud native architectures. + Direct the activities of other engineers and vendor partners. Perform deep-dive code reviews and architecture audits to ensure functional consistency between legacy and modern systems. + Design and implement risk mitigation using a combination of tooling and planning. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (,Know your rights: workplace discrimination is illegal (,Belonging at Google (, andHow we hire (. If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

Created: 2026-03-07