Lead Software Engineer

Wells Fargo
Charlotte, United States of America
12 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Charlotte, United States of America

Tech stack

API
Artificial Intelligence
Unix
Cloud Computing
Cloud Foundry
Linux
Github
Python
PostgreSQL
MongoDB
Network Service
NoSQL
OAuth
Openshift
Ansible
Software Engineering
Systems Integration
Management of Software Versions
Workflow Management Systems
Computer Networking Systems
Postman
GitHub Copilot
React
FastAPI
Event Driven Architecture
Containerization
Kubernetes
Performance Monitor
GraphQL
Api Design
REST
Open Network Automation Platform
Software Version Control
Automation Anywhere
Microservices

Job description

Wells Fargo is seeking a Lead Python Software Engineer in the Secured Network Services organization with a goal to deliver automation solutions that enable a software driven Infrastructure environment. If you're passionate about automation, cloud-native technologies, and building scalable systems, this is your opportunity to make a real impact in a large-scale enterprise environment.

In this role, you will:

  • Create API-driven integrations between network platforms and internal systems.
  • Develop and maintain automation frameworks that improve reliability and reduce operational toil.
  • Translate manual operational procedures into codified, repeatable automation.
  • Ensure automation artifacts follow best practices for performance, maintainability, and security.
  • Collaborate with network engineering and platform teams to align automation with broader architectural strategies.
  • Lead the automation of product deployments, customer journeys, and creation of APIs for our products and services
  • Demonstrate proficiency in using AI-assisted development and analysis tools (e.g., GitHub Copilot and approved code-centric agents)
  • Leverage AI to accelerate system design, coding, testing, analysis, and troubleshooting
  • Apply strong technical judgment when validating and integrating AI-assisted outputs into solutions
  • Understand and account for model limitations, security risks, and operational considerations
  • Apply AI responsibly in development and production environments
  • Ensure AI usage aligns with security, compliance, privacy, and ethical standards, Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

Requirements

Do you have experience in Software engineering?, * 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

  • 3+ years python development experience, * Proficiency in Python for building automation tooling, integrations, and workflow orchestration
  • Experience with langchain/langraph, google ADK/A2A, AG-UI, and other common opensource libraries for developing AI workflows.
  • Experience with openai api spec and building interfaces into enterprise models
  • Experience with MCP, Djando, graphQL, PSQL, no SQL, REACT, fast API, oAuth,
  • Experience with Multi agent orchestration
  • Demonstrated ability to consume and build REST APIs, including authentication, schema validation, error handling, and versioning
  • Hands-on experience with source control like GitHub.
  • Experience working in large-scale, enterprise environments with change control and structured processes.
  • Extensive expertise in Microservices, RESTful API and event driven architectures.
  • Hands-on experience with Ansible, including developing reusable playbooks, roles, and modules for network automation.
  • Proficiency in dealing with Legacy infrastructure along with cloud infrastructure (OpenShift, Cloud Foundry, Kubernetes)
  • Working knowledge of Unix, Linux, Mongo DB, Postman

Job Expectations:

  • Ability to work on-site at approved location

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