Software Engineer III

Bank of AmericaCharlotte, NC
5dOnsite

About The Position

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Description: This job is responsible for developing and delivering complex requirements to accomplish business goals. Key responsibilities of the job include ensuring that software is developed to meet functional, non-functional and compliance requirements, and solutions are well designed with maintainability/ease of integration and testing built-in from the outset. Job expectations include a strong knowledge of development and testing practices common to the industry and design and architectural patterns. The role is designed for a senior software engineer who builds working agent-based solutions, translates real customer usage into product and engineering inputs, and accelerates adoption through reusable technical assets. You will operate hands-on across engineering, product, customers, and governance, enabling developers to move faster while making safe, scalable adoption the default.

Requirements

  • Senior software engineer background (required)
  • Strong hands-on experience in Python, JavaScript/TypeScript, API design, cloud‑native architectures
  • Proven ability to independently design, build, deliver, and iterate on production systems
  • Experience working end‑to‑end across the software development lifecycle (SDLC)
  • AI/ML Knowledge: Hands-on experience with GitHub Copilot, Copilot Studio, and prompt engineering techniques.
  • AI Model Familiarity: Understanding of OpenAI GPT family, Claude, and Gemini models—strengths, limitations, and use cases.
  • Skills: Application Development
  • Automation
  • Influence
  • Solution Design
  • Technical Strategy Development
  • Architecture
  • Business Acumen
  • DevOps Practices
  • Result Orientation
  • Solution Delivery Process
  • Analytical Thinking
  • Collaboration
  • Data Management
  • Risk Management
  • Test Engineering

Nice To Haves

  • Experience with internal developer platforms, CI/CD pipelines, Horizon, SDLC tooling
  • Familiarity with enterprise governance, risk, and compliance constraints

Responsibilities

  • Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements
  • Designs, develops, and modifies architecture components, application interfaces, and solution enablers while ensuring principal architecture integrity is maintained
  • Mentors other software engineers and coach team on Continuous Integration and Continuous Development (CI-CD) practices and automating tool stack
  • Executes story refinement, definition of requirements, and estimating work necessary to realize a story through the delivery lifecycle
  • Performs spike/proof of concept as necessary to mitigate risk or implement new ideas
  • Automates manual release activities
  • Designs, develops, and maintains automated test suites (integration, regression, performance)
  • Build production-grade agents, reference implementations, starter kits, sample repositories, and prototypes that developers can directly adopt or extend.
  • Engage with end customers and internal teams, identify adoption friction, and drive actionable inputs into product and engineering roadmaps.
  • Produce concise, high-quality technical assets (agents, templates) derived from real implementations—not slideware.
  • Embed security, compliance, and policy requirements directly into solutions, making safe defaults easy for customers to adopt.
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