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Feature Lead – GenAI Platform
Bank of America. Provide leadership, technical direction, and oversight to a team delivering technology solutions .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing complex technology solutions, with a strong focus on Python programming, API development, and CI/CD practices. Proven ability to lead teams, mentor junior members, and align technical initiatives with business objectives.
Highest-signal resume keywords
Python ProgrammingFastAPI DevelopmentCI/CD Pipeline ImplementationMicroservices ArchitectureRelational Database Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonUnix ScriptingFastAPIRelational DatabasesNoSQL DatabasesHTML/CSSJavaScriptReactContainerizationDistributed Caching
Soft Skills
Strong Communication SkillsCritical ThinkingProblem-Solving
Tools & Technologies
OracleMySQLMongoDBMessage QueuesData Analytics Tools
Certifications & Qualifications
Bachelor's Degree
Industry Keywords
GenAI PlatformGlobal MarketsSDLC EfficiencyAI SolutionsLarge Datasets
Tech Stack
Tools & technologiesJavaScriptjQueryMicroservicesMongoDBMySQLNoSQLOraclePythonPyTorchReactSDLCTensorflowUnix
About the role
Key responsibilities & impact- Provide leadership, technical direction, and oversight to a team delivering technology solutions
- Design, implement, and maintain complex computer programs
- Align technical solutions with business objectives and software development standards
- Lead implementation of Bank of America's global GenAI platform for Global Markets
- Collaborate with multidisciplinary teams to integrate reusable, scalable, and sustainable business use cases
- Participate hands-on in requirements analysis, architecture design, coding, testing, and deployment
- Design, develop, and deliver platform features and related business use cases
- Develop and troubleshoot high-performance APIs using FastAPI and Python
- Implement distributed caching, containerization, and message queues
- Establish CI/CD pipelines for automated testing and deployment
- Guide work breakdown, planning, estimation, peer reviews, and engineering practices
- Work with the Product Owner to maintain a healthy product backlog and clear acceptance criteria
- Mentor junior team members and contribute to continuous improvement
- Establish standards and lead automation for end-to-end SDLC efficiency
- Implement hardware upgrades and software enhancements to meet global performance expectations
- Ensure solutions meet product acceptance criteria with minimal technical debt
Requirements
What you’ll need- Bachelor's degree or equivalent work experience
- Experience designing and implementing multi-tier applications, including microservices
- High proficiency in Python and Unix scripting
- In-depth knowledge of relational databases such as Oracle and MySQL
- Knowledge of NoSQL databases such as MongoDB
- Experience processing large structured and unstructured datasets
- Knowledge of front-end languages, libraries, and frameworks including HTML/CSS, JavaScript, XML, React, and jQuery
- Experience with FastAPI and Python
- Knowledge of distributed caching, containerization, and message queues
- Knowledge of CI/CD pipelines
- Strong communication skills
- Critical thinking and problem-solving skills
- Desired: experience implementing data analytics or AI solutions
- Desired: knowledge of TensorFlow or PyTorch, LLM fine-tuning, RAG, and agentic-solution tools
- 40 hours per week
- 1st shift in the United States of America
Benefits
Comp & perks- Annual discretionary incentive plan eligibility
- Industry-leading benefits
- Paid time off
- Resources and support for employees
- Opportunities to learn, grow, and make an impact
- Inclusive workplace
- Support for physical, emotional, and financial wellness
- Recognition and rewards for performance