About the RoleWe are seeking an experiencedMainframe Dev Ops Consultantto provide high-level advisory services for a major banking institution.
In this role, you will bridge the gap between legacy core banking systems and modern Dev Ops practices, specifically focusing on establishing, optimizing, and maintainingGit Hub CI/CD pipelineswithin aHogan mainframe environment.
This is a remote position requiring a bilingual professional who can seamlessly collaborate across global teams.Key Responsibilities
Pipeline Architecture & Execution: Design, build, and maintain robust code migration pipelines to seamlessly move code across regions, up to and including production deployment
Cross-Functional Collaboration: Partner closely with the bank's internal Hogan team to coordinate remote support and ensure smooth knowledge transfer during the engagement ramp-up
Stakeholder Management: Collaborate directly with the bank's stakeholders in Mexico on pipeline automation deliverables, ensuring timely, accurate,
and high-impact advisory outputs
General Alignment: Work in tandem with the bank's Git Hub Center of Excellence (Co E) based in India to align local deliverables with global engineering standards
Work Environment: Primarily remote with occasional travel to the local office as required by project milestonesRequired Skills & Qualifications
Dev Ops Expertise: Strong hands-on experience with Git Hub and Git Hub Actions/Pipeline
Mainframe Core: Solid understanding of COBOL programming language
Language Proficiency: Full professional fluency in both English and Spanish(written and spoken)Nice-to-Have Skills (Highly Valued)
Experience with CA Endevor for mainframe software change management
Deep knowledge of the Hogan banking system, including modules suchas IDS, FSS, CIS, RPM, and Umbrella
📌 Senior Ci/Cd Specialist (Toluca de Lerdo)
🏢 Luxoft
📍 Toluca de Lerdo
Postulate a este anuncio
Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.