Fiserv is looking to solve the problem of developing and operating secure, scalable, and high-performance financial platforms by hiring a Director of Software Engineering. This role will drive outcomes related to system reliability, customer satisfaction, regulatory compliance, and cost efficiency within the Fintech Platforms domain.
Requirements
- Deep expertise in; Microsoft SQL Server, .NET (C, ASP, VB), Delphi, Java, C, WinForm, and MVC architecture.
- Deep expertise in; Windows, Linux (RHEL), and AIX Operating Systems.
- Deep expertise in; DB Platforms including MS Access
- Proven track record of delivering secure, compliant, and scalable fintech solutions.
- Experience with VB6
- Expertise utilizing GitLab, ServiceNow, Jira, CyberArk, SailPoint, and Confluence.
Responsibilities
- Lead multiple software engineering teams through the full SDLC—design, build, test, deploy, and operate—using Agile, Waterfall, and hybrid methodologies.
- Architect and deliver secure, scalable platforms that support high-volume financial transactions and meet regulatory standards.
- Lead the release management function to ensure smooth, timely, and issue free code deployments
- Drive platform modernization and consolidation efforts, balancing innovation with stability.
- Evaluate existing applications and identify modernization opportunities focused on improving integration, functionality, and scalability
- Develop a technology and data architecture roadmap - defining how internal systems should evolve to support both current production needs and future growth
- Architect modern data structures that allow cross-platform data flow, real-time analytics, and AI integration
Other
- 10+ years of experience leading software development teams in a Fortune 500 environment.
- This role is on-site Monday through Friday.
- You must currently possess valid and unrestricted U.S. work authorization to be considered for this role.
- Strong communication and stakeholder management skills.
- Calm amidst pressure, tight timelines, and significant workloads