Software Engineer - Golang, System Design, Kubernetes Platform Development & AI Automation

Software Engineer - Golang, System Design, Kubernetes Platform Development & AI Automation

Chandler, Arizona

** To proceed with your application, you must be at least 18 years of age.*
* Acknowledge ( )

** Bank of America employees are required to meet all*
* ** posting eligibility requirements*
* ** prior to applying for any new position.*
* Acknowledge ( )

Refer a friend

** To proceed with your application, you must be at least 18 years of age.*
* Acknowledge ( )

** Bank of America employees are required to meet all*
* ** posting eligibility requirements*
* ** prior to applying for any new position.*
* Acknowledge ( )

*
* Job Description:

*
* 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 and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates' physical, emotional, and financial wellness through affordable, competitive and flexible benefits.

We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.

Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

*
* Position Summary:

*
* We are seeking a highly skilled
** Software Engineer with expert-level Golang experience, strong system design capabilities, Kubernetes development expertise, and hands-on exposure to AI-driven/agentic programming practices** .

** This role requires someone who can go beyond writing application code - someone who can build intelligent, scalable, enterprise-ready platform capabilities.*
* This role is focused on building scalable backend services, platform APIs, Kubernetes-native automation, and intelligent developer platform capabilities. The ideal candidate is a strong software engineer who can design and build reliable distributed systems in Go, develop software that integrates deeply with Kubernetes, and leverage AI/agentic programming concepts to improve automation, developer productivity, operational workflows, and platform intelligence.

** This is not a traditional Dev Ops, Kubernetes administrator, or basic scripting role. We are looking for an engineer who can write production-grade Go code, design complex systems, build Kubernetes-native components, and apply modern AI-assisted engineering techniques to solve real enterprise platform challenges.*
* *
* Key Responsibilities:

*
* + Design, develop, and maintain backend services, platform APIs, automation frameworks, and developer-facing services using
** Golang** .

+ Build scalable, resilient, and secure distributed systems that support enterprise platform engineering capabilities.

+ Develop Kubernetes-native components such as controllers, operators, CRDs, admission webhooks, and automation services.

+ Build software that integrates with Kubernetes APIs, Open Shift, CI/CD platforms, observability tools, security systems, and enterprise infrastructure services.

+ Design API-first solutions using REST, gRPC, event-driven patterns, and asynchronous workflows.

+ Apply strong system design principles around scalability, resiliency, concurrency, caching, reliability, fault tolerance, and performance optimization.

+ Use AI-assisted and agentic…