Specialty Software Engineering Manager -Platform Engineering

About this role:
Wells Fargo is seeking a Specialty Software Engineering Manager.
In this role, you will:

• Manage, coach, and develop a team of individual contributor specialty-domain engineer roles with low to moderate complexity and less experienced managers responsible for building high quality capabilities with modern technology
• Ensure adherence to the Banking Platform Architecture, and meeting non-functional requirements with each release
• Engage with architects and experienced engineers to incorporate Wells Fargo Technology technical strategies, while understanding next generation domain architecture to enable application migration paths to target architecture; for example cloud readiness, application modernization and data strategy
• Function as the technical representative for the product during cross-team collaborative efforts and planning
• Identify and recommend opportunities for driving resolution of technology roadblocks including code, build and deployment while also managing overall software development cycle and security standards
• Act as an escalation partner for scrum masters and the teams to make decisions and help remove impediments, obstacles, and friction while encouraging constant learning, experimentation, and continual improvement culture
• Build engineering skills side-by-side in the codebase, conduct peer reviews to evaluate quality and solution alignment to technical direction, and guide design, as needed
• Interpret, develop and ensure security, stability, and scalability within functions of technology with low to moderate complexity, as well as identify, manage and mitigate technology and enterprise risk
• Collaborate and consult with the Product Managers/Product Owners to drive user satisfaction, influence technology requirements and priorities in the product roadmap, promote innovative and intelligent solutions, generate corporate value and articulate technical strategy while being a solid advocate of agile and DevOps practices
• Interact directly with third party vendors and technology service providers
• Manage allocation of people and financial resources for technology engineering including career development and performance management for engineers and managers on the team
• Hire, mentor and guide talent development of direct reports to build the specialized domain experience and skills required to effectively design and deliver innovative solutions for the most challenging supported product areas/products

Desired Qualifications:

• 5+ years of software engineering experience with 3+ years of people management experience.
• Strong expertise in Python, Django, Object-Oriented Programming, APIs, microservices, and distributed systems.
• Deep experience with Google Cloud Platform (GCP) including Dataproc, GKE, Vertex AI, Workbench, BigQuery, Cloud Storage, and cloud-native architectures.
• Proven experience in Compute Optimization and FinOps, including workload sizing, capacity planning, resource optimization, utilization management, and cloud cost governance.
• Strong Platform Engineering experience building self-service developer platforms, reusable services, CI/CD pipelines, infrastructure automation, and internal developer platforms.
• Hands-on expertise with Hadoop, HDFS, PySpark, distributed computing, enterprise data platforms, and large-scale compute ecosystems.
• Experience designing, building, and managing Hybrid Compute Platforms spanning OpenShift (OCP), GCP, and on-prem environments, including workload placement and orchestration strategies.
• Strong expertise in Kubernetes, OpenShift, containerization, Infrastructure as Code (IaC), cloud infrastructure engineering, and platform operations.
• Experience developing and operating enterprise-scale AI/ML platforms supporting model development, validation, governance, and deployment workflows.
• Proven experience building GenAI-powered applications, AI agents, agentic workflows, AI copilots, and developer productivity solutions.
• Strong understanding of AI Infrastructure, model serving, inference platforms, vector databases, RAG architectures, and scalable AI platform design.
• Experience with workload orchestration, compute scheduling, resource management, and automated workload placement across heterogeneous compute environments.
• Strong knowledge of NumPy, Pandas, SciPy, machine learning frameworks, and modern AI engineering practices.
• Experience driving engineering excellence through architecture reviews, design reviews, code reviews, quality engineering, SDLC governance, and Agile delivery practices.
• Experience with cloud modernization, platform transformation, site reliability engineering (SRE), observability, monitoring, and operational excellence frameworks.

Job Expectations:

• Experience leading global engineering teams and delivering large-scale platform and infrastructure transformation initiatives.
• Good understanding of Model Development Lifecycle (MDLC), Model Validation, Model Governance, Risk Management, and regulatory technology platforms.
• Strong stakeholder management, communication, presentation, negotiation, and leadership skills.
• Experience with GPU Programming and Acceleration Technologies (CUDA, RAPIDS, NVIDIA ecosystem) for large-scale AI/ML workloads.
• Experience with High Performance Computing (HPC), parallel processing, and advanced compute architectures.
• Experience driving enterprise-wide adoption of AI-assisted development tools such as GitHub Copilot, Claude Code, Cursor, and similar platforms.
• Banking, Financial Services, and Risk Management domain expertise.
• Ability to define long-term compute and platform strategy, challenge the status quo, and drive innovation at enterprise scale.

Posting End Date:
8 Sep 2026
*Job posting may come down early due to volume of applicants.
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.