Go Backend Engineer – AI-Driven Kubernetes Platform

Bank of America; Plano (TX); On-site; USD 89,000 - 145,000; Full time

Job summary

Bank of America is seeking an experienced Software Engineer with expert Golang skills to design and build scalable backend services and Kubernetes‑native platform components. You will work on enterprise‑grade APIs, automation frameworks, and AI‑driven engineering tools to improve developer productivity and platform intelligence.

The role emphasizes deep system design, concurrency mastery, and hands‑on Kubernetes/OpenShift development, with a focus on reliable, secure, and scalable solutions for

Qualifications

• Strong production‑grade Go development experience.
• Deep knowledge of Go concurrency, memory management, and performance tuning.
• Experience building REST and gRPC APIs and event‑driven systems.
• Solid fundamentals in clean code, testing, and modular design.
• Experience designing high‑throughput, low‑latency backend services.
• Ability to debug complex runtime and concurrency issues in Go.

Responsibilities

• Design, develop, and maintain backend services, platform APIs, and automation frameworks using Go.
• Build scalable, resilient distributed systems for enterprise platform engineering.
• Develop Kubernetes‑native components (controllers, CRDs, webhooks) and OpenShift integration.
• Create API‑first solutions (REST, gRPC, event‑driven) and optimize for scalability and reliability.
• Contribute to architecture reviews and define engineering standards for Go‑based services.
• Collaborate with SRE, security, DevOps, AI engineering, and application teams to deliver platform solutions.

Skills

Go / Golang

Kubernetes

System design

API design

AI / agentic programming

Tools

OpenShift

Kubebuilder

Operator SDK

Prometheus

Job description

Bank of America is seeking an experienced Software Engineer with expert Golang skills to design and build scalable backend services and Kubernetes‑native platform components. You will work on enterprise‑grade APIs, automation frameworks, and AI‑driven engineering tools to improve developer productivity and platform intelligence.

The role emphasizes deep system design, concurrency mastery, and hands‑on Kubernetes/OpenShift development, with a focus on reliable, secure, and scalable solutions for