Lead Software Engineer - Lead Python Fullstack Developer
Wells Fargo · Bengaluru · 5+ yrs experience · Posted 2026-07-28
Tech stack: Kafka, Python, Redis, SQL
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About the role
About this role: Wells Fargo is seeking a Lead Software Engineer (Data Engineer) who will bring technical leadership in application modernization, platform integration, and reusable accelerator development, enabling parallel execution across committed delivery streams. 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. Desired Qualifications: 5+ years of Data Engineering experience. Strong experience with RDBMS technologies (Preferred: SQL Server). Advanced coding skills in Python and PySpark. Compute Engine: Apache Spark, PySpark. Data Layer: Lakehouse/Objectstore, Iceberg/Delta, SQL. Streaming: Kafka. Agentic AI: LangGraph, LangChain, A2A (Good to Have). Experience designing and optimizing large-scale data pipelines. Experience with streaming and caching technologies such as Kafka and Redis. Exposure to reporting and visualization tools (Power BI, Tableau). Experience working in Agile/Scrum environments. Strong problem‑solving, communication, and leadership skills. Behavioral & Leadership Expectations. Acts as a technical role model for the team. Drive accountability, quality, and engineering discipline. Demonstrate strong ownership and decision‑making capability. Effectively communicate complex technical concepts to both technical and non‑technical stakeholders. Job Expectations: Proven experience designing and implementing Retrieval‑Augmented Generation (RAG) architectures using vector databases and retrieval frameworks. Experience building agentic AI or multi‑agent orchestration systems. Solid understanding of distributed systems, APIs, and microservices architecture.
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 Data Engineering experience.
- Strong experience with RDBMS technologies (Preferred: SQL Server).
- Advanced coding skills in Python and PySpark.
- Compute Engine: Apache Spark, PySpark.
- Data Layer: Lakehouse/Objectstore, Iceberg/Delta, SQL.
- Streaming: Kafka.
- Agentic AI: LangGraph, LangChain, A2A (Good to Have).
- Experience designing and optimizing large-scale data pipelines.
- Experience with streaming and caching technologies such as Kafka and Redis.
- Exposure to reporting and visualization tools (Power BI, Tableau).
- Experience working in Agile/Scrum environments.
- Strong problem‑solving, communication, and leadership skills.
- Behavioral & Leadership Expectations.
- Acts as a technical role model for the team.
- Drive accountability, quality, and engineering discipline.
- Demonstrate strong ownership and decision‑making capability.
- Effectively communicate complex technical concepts to both technical and non‑technical stakeholders.
- Job Expectations: Proven experience designing and implementing Retrieval‑Augmented Generation (RAG) architectures using vector databases and retrieval frameworks.
- Experience building agentic AI or multi‑agent orchestration systems.
- Solid understanding of distributed systems, APIs, and microservices architecture.
Responsibilities
- 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.