Lead Software Engineer
at Wells Fargo
Concord, CA 94520, USA -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 01 May, 2025 | Not Specified | 02 Feb, 2025 | 2 year(s) or above | Training | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
PAY RANGE
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates.
$111,100.00 - $237,100.00
APPLICANTS WITH DISABILITIES
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .
WELLS FARGO RECRUITMENT AND HIRING REQUIREMENTS:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process
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
- 5+ years of Python experience
- 5+ years of big data experience needed (Big Query, Hadoop)
- 3 years of experience in AIML area (MLOps)
- 2+ years of experience in developing APIs using Python/FastAPI
Desired Qualifications:
- 1+year of experience in LLM, Generative AI (developingcapabilities or dev/ops)
- 1+year of experience in Vector Database.
- Experience in developing of API on GCP/Azure/API Gateway
Responsibilities:
Wells Fargo is seeking a Lead Software Engineer in the Digital Technology and Innovation group which supports evolving digital platforms and enhances integration of the innovation pipeline into our customer-facing capabilities.
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
- 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
- Participate in developing Generative AI & Traditional AI Platform Capabilities on enterprise on-prem and cloud platforms.
- Responsible for AI model delivery to on-prem infrastructure and cloud platforms (GCP-Vertex AI, Azure ML)
- Collaborating with Data scientist to optimize the scoring pipeline.
- Building automation capabilities to deploy ML Models and LLM Models on the enterprise on-prem platform and cloud platform.
- Build and Deploy capabilities for automating model scoring/Inferencing of ML models and LLMs.
- Build and Deploy capabilities for data pipeline deployment standardization and model consumption by multiple LOBs.
- Collaborate with product owners, DevOps team, data scientists, support teams to define and drive end to end model scoring pipelines.
- Participate in day-to-day standups for platform capability build.
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
- 5+ years of Python experience
- 5+ years of big data experience needed (Big Query, Hadoop)
- 3 years of experience in AIML area (MLOps)
- 2+ years of experience in developing APIs using Python/FastAPI.
Desired Qualifications:
- 1+year of experience in LLM, Generative AI (developingcapabilities or dev/ops)
- 1+year of experience in Vector Database.
- Experience in developing of API on GCP/Azure/API Gateways
Job Expectations:
- Position will require onsite presence at one of the required locations listed below in a hybrid work schedule
- This position in not eligible for Visa sponsorship
- Relocation assistance is not available for this position
Locations:
- 1775 Grant St., Concord, CA
- 300 S. Brevard St., Charlotte, NC
Pay Range:
- Charlotte, NC $111,000 - 197,000
- Concord, CA $133,000 - 237,000
REQUIREMENT SUMMARY
Min:2.0Max:5.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Proficient
1
Concord, CA 94520, USA