This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Wells Fargo is seeking a Lead Software Engineer (Full Stack Developer) who will be part of building Observability capabilities with technology led innovation at an enterprise scale to transform Telemetry, Monitoring and Observability for on-prem platforms, as well as private and public cloud to improve availability.
Job Responsibility:
Lead complex technology initiatives including those that are companywide with broad impact
Act as a key participant in developing standards and companywide best practices for engineering complex and large-scale technology solutions for technology engineering disciplines
Design, code, test, debug, and document for projects and programs
Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
Provide strategic guidance, direction, and expertise to leadership in implementing innovative, high‑impact business solutions
Stay current on industry’s best practices and emerging technologies, recommending innovations that improve operations or strengthen the organization’s competitive advantage
Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership
Lead projects or serve as a peer mentor
Champion the adoption of AI and agentic systems within observability, including: Intelligent insights and anomaly detection
Guided root‑cause analysis and remediation
Automation to reduce operational toil
Requirements:
10+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
8+ years of strong Software Engineering experience with modern programming languages
Experience with Python, JavaScript, Java Spring Boot, ReactJS, Spring Framework, UML, NoSQL and SQL Databases, Kafka pub/sub model, ETL, Microservices Development, Kubernetes
4+ years of experience in developing AI-powered products end-to-end Design, develop, and deploy AI/ML models, including data preprocessing, feature engineering, model training, and optimization
Experience in building and deploying microservices and cross channel restful Application Programming Interface (API)
Experience with cloud platforms like Azure, AWS, or Google Cloud
Experience in Data analysis, Data Import and Data Feeds
Experience with Cloud, Kubernetes, Prometheus, Open Telemetry, Time Series Metrics, Capacity, Machine Learning, or Synthetics monitoring tools experience
Deep technical understanding of core concepts, memory management, multi-threading, REST based services, React and Spring/Spring Boot
Strong verbal, written, and interpersonal communication skills
Ability to influence and build relationships with LOB stakeholders, technology CIO leadership, external service providers, and architecture teams
Experience in one or a combination of the following: Capacity Analytics, time series metrics analysis, Telemetry, Monitoring, Observability
Knowledge of Agile methodologies, and product operating model
Knowledge and understanding of application or software security such as: web application penetration testing, secure code review, secure static code analysis
Knowledge and understanding of technology architecture: solutions development
Knowledge and understanding of complex enterprise systems and frameworks including frontends, middleware, services layer, database, backend, and downstream interfaces