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Software Engineer II

Bank of America
Charlotte, USA
Full-time
Junior · 2+ years experience
Discovered 4 weeks ago
azurecsharpjavajavascriptpythontypescript

Full Job Posting

Responsibilities:

  • Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements
  • Utilizes multiple architectural components (across data, application, business) in design and development of client requirements
  • Performs Continuous Integration and Continuous Development (CI-CD) activities
  • Contributes to story refinement and definition of requirements
  • Participates in estimating work necessary to realize a story/requirement through the delivery lifecycle
  • Contributes to existing test suites (integration, regression, performance), analyze test reports, identify any test issues/errors, and triage the underlying cause
  • Performs spike/proof of concept as necessary to mitigate risk or implement new ideas
  • Develop architecture automation tools, accelerators, and reusable frameworks that improve engineering productivity
  • Build AI-enabled solutions, copilots, and intelligent assistants that support architects and technology teams
  • Rapidly prototype and engineer proof-of-concepts to evaluate emerging technologies and innovative solutions
  • Required Qualifications:
  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related STEM discipline
  • 2+ years of software engineering, application development, or platform engineering experience
  • Proficiency in one or more programming languages such as Python, Java, JavaScript/TypeScript, or C#
  • Experience building AI-enabled applications, copilots, virtual assistants, or intelligent automation solutions
  • Knowledge of cloud platforms and cloud-native application development (Azure preferred)
  • Experience with Agile delivery methodologies, DevOps practices, and CI/CD pipelines
  • Ability to develop automation solutions, tools, and reusable engineering frameworks
  • Desired Qualifications:
  • Knowledge of Generative AI, Large Language Models (LLMs), prompt engineering, and AI orchestration frameworks
  • Experience developing rapid prototypes and proof-of-concepts to evaluate emerging technologies

Skills:

  • Application Development
  • Automation
  • Collaboration
  • DevOps Practices
  • Solution Design
  • Agile Practices
  • Architecture
  • Result Orientation
  • Solution Delivery Process
  • User Experience Design
  • Analytical Thinking
  • Data Management
  • Risk Management
  • Technical Strategy Development
  • Test Engineering
  • Shift:
  • Hours Per Week:

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