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Wells Fargo is seeking a Software Engineering Senior Manager
Job Responsibility
Manage, coach, and develop a team or teams of experienced engineers and engineering managers in roles with moderate complexity and risk, responsible for building high quality capabilities with modern technology
Ensure adherence to the Banking Platform Architecture, and meeting non-functional requirements with each release
Partner with, engage and influence architects and experienced engineers to incorporate Wells Fargo Technology technical strategies, while understanding next generation domain architecture and enable application migration paths to target architecture
for example cloud readiness, application modernization, data strategy
Function as the technical representative for the product during cross-team collaborative efforts and planning
Identify and recommend opportunities for driving escalated resolution of technology roadblocks including code, build and deployment while also managing overall software development cycle and security standards
Determine appropriate strategy and actions to act as an escalation partner for scrum masters and the teams to meet moderate to high risk deliverables and help remove impediments, obstacles, and friction while encouraging constant learning, experimentation, and continual improvement
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 moderate complexity, as well as identify, manage and mitigate technology and enterprise risk
Collaborate with, partner with and influence 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 to ensure commitments are met and align with strategic objectives in technology engineering
Hire, build and guide a culture of talent development to have the skills required to effectively design and deliver innovative solutions for product areas and products to meet business objectives and strategy, as well as conduct performance management for engineers and managers
Requirements
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
Nice to have
Ability to analyze large-scale datasets and translate analytical requirements into scalable system designs
Experience in building distributed data pipelines using Apache Beam (or Flink / Spark), including streaming and batch workflows
Good to have knowledge on ElasticSearch architecture, index design, query optimization, and analytics use cases
Proven expertise in distributed systems design, including scalability, fault tolerance, backpressure handling, and data consistency trade-offs
Experience designing and governing end-to-end analytics architectures from ingestion through visualization
Hands-on expertise of Kubernetes for deploying and operating data pipelines, and microservices
Experience building and maintaining microservices using Spring Boot, with well-defined APIs and service contracts
Ability to define and enforce engineering standards, reference architectures, and best practices across teams
Strong focus on reliability, observability, and operability, including monitoring, alerting, and production incident management
Demonstrated technical leadership, mentoring engineers, driving design reviews, and influencing cross-team technical direction
Ability to analyze large-scale datasets and translate analytical requirements into scalable system designs
Experience in building distributed data pipelines using Apache Beam (or Flink / Spark), including streaming and batch workflows
Good to have knowledge on ElasticSearch architecture, index design, query optimization, and analytics use cases
Proven expertise in distributed systems design, including scalability, fault tolerance, backpressure handling, and data consistency trade-offs
Experience designing and governing end-to-end analytics architectures from ingestion through visualization
Hands-on expertise of Kubernetes for deploying and operating data pipelines, and microservices
Experience building and maintaining microservices using Spring Boot, with well-defined APIs and service contracts
Ability to define and enforce engineering standards, reference architectures, and best practices across teams
Strong focus on reliability, observability, and operability, including monitoring, alerting, and production incident management
Demonstrated technical leadership, mentoring engineers, driving design reviews, and influencing cross-team technical direction