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Senior Full Stack Java Developer (contract)

Wells Fargo

3.7
366 reviews
Wells Fargo
Job Type   /   Job Level
Contract   /   Others/Any
Job Location
Charlotte, NC
Salary Range
USD 10,417 - USD 14,583 (Monthly)
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Description

Title: Senior Full Stack Java Developer

Location: Charlotte, NC

Duration: 12 months

Work Engagement: W2

Work Schedule: Onsite

Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits

Summary:

In this contingent resource assignment, you may: Consult on or participate in moderately complex initiatives and deliverables within Software Engineering and contribute to large-scale planning related to Software Engineering deliverables. Review and analyze moderately complex Software Engineering challenges that require an in-depth evaluation of variable factors. Contribute to the resolution of moderately complex issues and consult with others to meet Software Engineering deliverables while leveraging solid understanding of the function, policies, procedures, and compliance requirements. Collaborate with client personnel in Software Engineering. Required Qualifications: Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.

Key Responsibilities:

  • Technical Leadership & Collaboration
  • Participate in complex, enterprise-wide engineering initiatives with broad technical impact.
  • Partner closely with cross-functional teams including Architecture, DevOps, Platform Engineering, and Cybersecurity.
  • Participate in and improve code reviews, design reviews, and production support processes.

Engineering Excellence

  • Define, promote, and enforce engineering standards, patterns, and best practices.
  • Design, develop, test, and document full stack applications using Java, Spring Boot, React and/or Angular.
  • Architect and implement event-driven and streaming solutions using Apache Kafka.
  • Analyze existing large-scale systems and drive modernization and architectural improvements.
  • Ensure delivered solutions meet enterprise-level security, compliance, and performance requirements.

AI-Assisted Engineering & Automation

  • Drive adoption of AI-assisted engineering practices, including:
  • Code generation and code completion
  • Automated test generation
  • AI driven code reviews
  • AI powered documentation creation
  • Integration of LLM/GenAI capabilities into applications and workflows

Cloud & DevOps

  • Deploy and support applications on Oracle Cloud Platform (OCP) or equivalent enterprise cloud providers.
  • Apply strong understanding of DevOps practices, CI/CD automation, and containerization (Docker, Kubernetes).
  • Work with both RDBMS and NoSQL storage systems.
  • Implement an “automation-first” culture across CI/CD pipelines, testing frameworks, and operational processes.
  • Optimize build pipelines and infrastructure automation across cloud and on prem environments.

Key Requirements:

  • Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
  • Software engineering experience, in enterprise environments.
  • Strong full stack development skills with Java/Spring Boot and React and/or Angular.
  • Proven ability to work effectively with cross-functional and geographically distributed teams.
  • Experience with event-driven, streaming architectures and Apache Kafka.
  • Hands-on experience with RDBMS (e.g., Oracle, SQL Server) and NoSQL (e.g., MongoDB, Cassandra) systems.
  • Experience deploying to Oracle Cloud Platform (OCP) or similar large-scale cloud platforms.
  • Demonstrated experience using Generative AI tools for software development and automation.
  • Strong understanding of DevOps principles, CI/CD automation, and containerization technologies.
  • Experience with infrastructure automation and continuous testing practices.
  • Solid understanding of secure coding practices, authentication/authorization patterns, encryption, and data protection.

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