Lead Software Engineer

Lead Software Engineer

Wells Fargo is seeking a Lead Software Engineer. We believe in the power of working together because great ideas can come from anyone. Through collaboration, any employee can have an impact and make a difference for the entire company. Explore opportunities with us for a career in a supportive environment where you can learn and grow.

In this role, you will:

• 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
• Lead projects, teams, or serve as a peer mentor

Required Qualifications:

• 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Additional Required Qualification:

• Hands-on experience with Harness for CI/CD management
• Experience in handling Python projects on OCP environment
• Proven track record of building automation solutions using Python and Powershell
• Exposure to AI/ML model integration or usage of LLMs in engineering tools or automation workflows
• Experience with Cloud Services and infrastructure Automation (GCP, OCP)
• Familiarity with containerization (Docker, Kubernetes) and monitoring tools

Desired Qualifications:

• B. Tech or equivalent educational qualification
• Have 5 years of AI/ML using Python development projects experience

Job Expectations:

• Design and Develop AI-driven automation solutions
• Evaluate and adopt appropriate AI/ML models or LLMs to automate decision making or streamline manual engineering tasks
• Develop solutions using Python, PowerShell, Bash by following the enterprise standard CI/CI pipeline
• Ready to learn new tools and techniques and show the results in the deliverables
• Establish design & coding best practices and ensure those are aligned with US & IND management and successfully followed within the team
• Coordinate with Platform Teams, Development & Infrastructure teams to identify the automation opportunities, provide ROI, prioritize the tasks, implement bug free code into the production environment
• Guide the team in using Python and scripting (PowerShell/Bash) to build scalable automation pipelines.
• Build REST APIs, data parsing tools, and integration scripts using Python and third party libraries
• Experience in using the tools App Dynamics EUM, Grafana, SPLOC, BigPanda, Prometheus, Dynatrace
• Have to work on OpenTelemetry by coordinating with enterprise OTel Team and Vertical Platform Teams
• Design, Configure and maintain robust CI/CD pipelines using Github and Harness
• Ensure reliable deployment, rollback strategies and environment configuration management
• Define metrics and implement observability for the entire CI/CD pipeline
• Create and manage infrastructure-as-code (IaC) solutions (using Terraform, Powershell DSC)
• Automate route infrastructure tasks and integrations with cloud platforms
• Work closely with Production Support, Development and Infrastructure teams to understand automation needs
• Translate complex technical needs into actionable development plans
• Provide regular updates, demos and documentation of solutions and automation tools
• Stay current with the latest trends in AI, MLOps, automation tools and cloud-native practices
• Identify opportunities to reduce manual toil and improve deployment speed, accuracy and repeatability