Introduction
At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world.
Your Role And Responsibilities
At IBM, we are committed to helping enterprises modernize with speed, scale, and trust. We are seeking a
Senior Engineering Manager to lead a strategic transformation initiative focused on
hybridcloud adoption,
AIenabled engineering, and
z/OS tool migration. This role is ideal for a leader who thrives at the intersection of innovation, engineering excellence, and enterprise modernization.
As a Senior Engineering Manager, you will guide highperforming engineering teams, drive technical strategy, and partner closely with stakeholders across architecture, product, and executive leadership to deliver secure, scalable, and businessimpacting solutions.
Key Responsibilities
- Lead the delivery of complex, highvalue engineering initiatives using Agile or hybrid methodologies, ensuring alignment with IBM's quality and security standards.
- Drive modernization across hybrid cloud, mainframe (z/OS) tool migration, DevOps automation, and AIdriven engineering practices to accelerate innovation.
- Shape and present technical architecture, migration strategies, cloud integration patterns, and industry trends to both engineering and executive audiences.
- Provide strategic direction on the adoption of AI and Agentic AI technologies, guiding engineering teams in designing and delivering Agentic solutions.
- Serve as a strategic bridge between engineering teams and senior leadership, translating technical insights into clear, actionable direction.
- Introduce and operationalize new engineering capabilities including cloud optimization, infrastructure automation, observability, and AIenabled solutions.
- Evaluate emerging technologies, platforms, and vendor solutions; lead PoCs and informed technology assessments to guide adoption.
- Establish and uphold engineering governance covering security, compliance, coding standards, DevOps practices, and automation frameworks.
- Champion continuous improvement through enhanced tooling, productivity initiatives, platform simplification, and automationfirst engineering.
- Build and maintain strong partnerships across crossfunctional groups, supporting decisionmaking, alignment, and effective execution.
- Mentor and develop engineering talent, fostering an inclusive, collaborative, and highperformance team culture.
- Track and analyze competitive, cloud, and AI trends to inform longterm transformation roadmaps and migration strategies.
Preferred Education
Master's Degree
Required Technical And Professional Expertise
- 1015 years of experience delivering complex software or platform engineering initiatives at enterprise scale.
- 56 years of engineering management experience leading hybrid cloud, AI, or modernization programs.
- Experience leading a team of 20+ engineers, with reporting into a Directorlevel leader.
- Deep understanding of hybrid cloud environments (IBM Cloud, AWS, Azure) and cloud optimization approaches.
- Experience with AI frameworks, ML lifecycle concepts, data governance, and modern AI adoption patterns.
- Proven ability to communicate technical concepts to executives, business stakeholders, and crossdiscipline teams.
- Strong background in engineering governance, secure development practices, and technology compliance.
Preferred Technical And Professional Experience
- Exposure to z/OS (Mainframe) development, tooling, integration, or migration initiatives.
- Hands-on knowledge of Java, Python, microservices, distributed systems, or cloudnative patterns.
- Experience with DevOps, CI/CD, automation tooling, and InfrastructureasCode (Terraform, Ansible, etc.).
- Certifications such as PMP, ITIL, Scrum Master, AWS/Azure Architect, or relevant IBM Cloud certifications.
- Experience with data analytics, ML model operationalization, and AIenabled engineering workflows.
- Experience with vendor engagement, tooling assessments, and contract negotiations.
