Jobs at Bank of America

1,880,134 open positions

Bank of America is a Fortune 100 bank that powers global consumer and corporate finance. In technology, it drives the next generation of fintech with AI, cloud, and cybersecurity solutions across its digital banking platform.

Open roles span software engineering, data science, cybersecurity, cloud architecture, AI/ML, product management, and DevOps. Candidates face technical coding challenges, system design interviews, and cross-team projects that deliver real-world financial services. The hiring pipeline includes structured mentorship, on-boarding programs, and clear internal career paths.

Job Transparency gives you real salary numbers and employee sentiment for every Bank of America listing. Knowing exact pay ranges and how peers rate the workplace lets you compare offers, negotiate confidently, and target roles that align with your career goals.

Frequently Asked Questions

What’s it like to work at Bank of America?
Employees describe a culture focused on <strong>collaboration and innovation</strong>, with structured mentorship and a commitment to diversity. The tech team works on high-impact projects such as real-time fraud detection and AI-driven customer insights. Benefits include competitive health plans, generous 401(k) matching, and flexible remote options for many tech roles.
What types of positions are available at Bank of America?
Tech roles cover software development (front-end, back-end, full stack), data engineering, data science, AI/ML engineering, cybersecurity, cloud architecture, DevOps, product management, UX/UI design, and emerging fintech positions like blockchain and digital-wallet development.
How can I stand out as an applicant?
Showcase a portfolio of code or projects that solve real financial problems, earn relevant certifications (AWS Certified Solutions Architect, Certified Information Systems Security Professional), prepare for coding challenges with LeetCode and system-design mock interviews, and tailor your résumé to highlight measurable impact on past projects. During interviews, ask data-driven questions about the team’s tech stack and current product priorities.

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