Lead Software Engineer-DotNet Full Stack
Wells Fargo (company site, opens in a new tab)5+ yrsHyderabadOn-siteDirect career pageEst. 25–40 LPA
Posted 12h ago
Reach people at Wells Fargo
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Wells Fargo you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead complex, companywide technology initiatives with broad business impact.
- Develop and enforce standards and best practices for engineering large scale technology solutions.
- Design, code, test, debug, document software; lead projects, mentor peers, and collaborate with senior technical leaders.
Minimum Requirements
- 5+ years of Software Engineering experience demonstrated through work experience, training, or education.
- Proficiency with C#, .NET Core, React.js, JavaScript (ES6+), HTML, CSS, and SQL Server with expert-level T-SQL and performance tuning.
- Experience with unit testing frameworks (xUnit, Jest), automation testing, and CI/CD tools such as Azure DevOps, GitHub Actions, or Jenkins.
- Work Experience Required: 5+ years in software engineering roles. Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced full stack developer comfortable leading large scale, complex technology projects across multiple teams.
- Strong background in backend (.NET Core, SQL Server) and frontend (React.js, JavaScript) development with hands-on experience in testing and CI/CD pipelines.
- Operationally capable engineer with expertise in performance tuning, security best practices (OAuth, JWT, OWASP), microservices, and data analytics tools like Power BI.