Senior Software Engineering Manager
On-siteBengaluru, Karnataka, India
Job Summary
Lead multiple engineering teams delivering development, enhancement, and production support for enterprise Reconciliation Platforms while driving strategic consolidation across Wholesale, Consumer, and WIM Operations. Manage allocation of people and financial resources to ensure commitments are met, oversee end-to-end delivery across the full SDLC, and define modernization roadmaps for legacy systems. Partner with global operations and business stakeholders to build resilient, scalable, and stable production systems, enforce delivery governance and standards, and provide accurate delivery estimates. Build, mentor, and retain high-performing engineering teams by planning for talent needs and proactively managing attrition. Foster a culture of engineering excellence and continuous improvement while advancing CI/CD adoption, Agile maturity, and DevSecOps practices aligned with P2P enterprise standards.
Required Qualifications
- 7+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 3+ years of management or leadership experience
- 5+ years of engineering leadership and people management with strong focus on delivery, talent development, and stakeholder alignment
- 5+ years of hands-on software development across Microsoft .NET 8, Java, Python, Angular, Shell, and REST/SOAP/Web APIs
- Proven delivery experience with reconciliation platforms such as IntelliMatch, EZOPS ARO, or equivalent systems
- Strong expertise in real-time data processing and analytics, with deep experience in SQL, PL/SQL, Oracle, and MS SQL Server
- Proven experience with messaging and event-driven architectures, including JMS, IBM MQ, and Apache Kafka
- Hands-on experience using Microsoft Copilot, GitHub Copilot, and Story Weaver to accelerate development workflows, improve code quality, and enhance team productivity
- Experience in designing, developing, and deploying AI/ML models into production environments
- Hands-on experience with cloud-native technologies including Docker, Kubernetes, and OpenShift (OCP)
- Hands-on experience configuring and supporting AutoSys job schedules, dependencies, alerts, and recovery workflows in production environments
- Strong background in automated testing and quality engineering, leveraging WAF (.NET, Selenium), JUnit, Mockito, Cucumber, and TDD/BDD practices
- Deep understanding of Agile methodologies, GitHub, UCD, Harness and CI/CD pipelines
- Strong command of object-oriented design, architectural patterns, and SOLID principles, applied to scalable and resilient systems
- Demonstrated ability to operate effectively in ambiguity, manage risk, and deliver across multiple concurrent releases
- Strong executive presence with excellent communication, influencing, and stakeholder management capabilities
- Experience working effectively with global teams across geographies and time zones
- Experience following and adhering to applicable Wells Fargo policies and procedures
- Appropriate fulfillment of risk and compliance obligations
- Timely and effective escalation and remediation of issues
- Making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements
- Drug free workplace compliance
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