Senior Software Engineer
Wells Fargo · Hyderabad · onsite · Posted 57d ago
Undisclosed4–9 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Job Summary
Wells Fargo is seeking a Senior Software Engineer.
In this role, you will: - Lead moderately complex initiatives and deliverables within technical domain environments
- Contribute to large scale planning of strategies
- Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
- Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
- Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
- Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
- Lead projects and act as an escalation point, provide guidance and direction to less experienced staff
- 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Approximately 4+ years of professional experience in software engineering or application development with a proven track record of delivering productionquality systems
- Strong handson experience with Java, Kafka, Python, and frameworks aligned with the teams technology stack
- Demonstrated ability to apply AIassisted development practices at scale to improve engineering productivity, code quality, and reliability
- Practical experience using AIpowered engineering tools (e.g., code assistants, automated testing tools, documentation generators, observability and troubleshooting assistants, or internal AI platforms)
- Solid understanding of the endtoend software development life cycle (SDLC) and handson experience working in Agile / DevOps delivery models
- Advanced proficiency with source control systems, CI/CD pipelines, and modern development workflows, including AIaugmented reviews and automation
- Experience supporting deployments, upgrades, environment stability, and production operations, including oncall or incident support
- Strong foundational knowledge of databases, APIs, distributed systems, messaging platforms, and system integrations
- Good awareness of security, risk, data privacy, compliance, and responsible AI usage, with the ability to apply these principles in design and implementation
- Ability to independently troubleshoot and resolve moderately complex technical issues, leveraging documentation, system telemetry, and AIassisted insights
- Demonstrated commitment to continuous learning, especially emerging AI technologies and patterns relevant to the engineering domain
- Strong communication skills with the ability to collaborate effectively with engineers, product partners, and stakeholders, and to mentor junior team members
- Lead and contribute to moderate to highcomplexity technology initiatives, including new feature development, system enhancements, upgrades, and deployments
- Design, implement, test, debug, and document robust solutions, making informed architectural decisions within established guidelines
- Apply an AIfirst engineering mindset, proactively using approved AI tools for code generation, refactoring, reviews, testing, troubleshooting, and documentation while ensuring compliance with enterprise standards
- Drive adherence to engineering best practices, design patterns, coding standards, and responsible AI and datausage policies
- Identify, propose, and help implement improvements to service quality, performance, stability, scalability, and developer efficiency
- Independently investigate and resolve recurring and nontrivial technical issues, leveraging both traditional debugging techniques and AIassisted analysis, and lead resolution efforts to meet SLAs
- Ensure security, compliance, and risk controls are embedded into design, development, and support activities, including appropriate handling of sensitive data when using AI tools
- Actively participate in and lead code reviews and technical design discussions, providing clear, constructive feedback
- Mentor and support junior engineers, sharing knowledge on technology, domain context, and effective use of AI tools
- Build strong domain expertise in the assigned business area and help identify AI use cases that create measurable technical or business impact
- Communicate technical status, risks, tradeoffs, and recommendations clearly to team members and stakeholders
- Demonstrate ongoing growth in technical leadership, decisionmaking, system ownership, and responsible AI usage
Sourced from naukri
Skills
AutomationAgileCI/CD Pipelinescoding standardscode qualityapisdata privacyautomated testingai technologiesControl SystemsDebugAI ToolsCommunication SkillsApplication DevelopmentcomplianceCustomer RelationshipsArtificial Intelligence
About Wells Fargo

Wells Fargo
Financial Services
20k+
employees
1852
174 years old
Bengaluru/Bangalore, Karnataka
India
About
Wells Fargo works to create positive social impact in the communities it serves by supporting housing affordability, small business growth, financial health, and a low-carbon economy.
Industries
Financial Services
Employee ratings
8,681 reviews
3.6/ 5
Culture
3.5
Career growth
2.9
Work-life
3.8
Employees rate it well for
Work Life Balance1417Work Culture906Senior Management755Salary707Job Security510
Find them on