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

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 DevOps 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 OpenShift 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 programming approaches to improve engineering productivity automate repetitive platform tasks and enhance developer experience.

• Explore and build intelligent automation capabilities such as code analysis agents remediation workflows backlog generation operational assistants or developer self-service agents.

• Troubleshoot complex production issues across Go services Kubernetes workloads APIs networking and distributed systems.

• Participate in architecture reviews and help define engineering standards for Go-based platform services.

• Collaborate with platform engineering SRE security DevOps AI engineering and application teams to deliver reliable enterprise-scale solutions.

Required Qualifications:

Golang / Backend Engineering

• Strong hands-on experience developing production-grade applications in Go / Golang.

• Deep understanding of Go concurrency patterns goroutines channels interfaces memory management error handling context handling and performance tuning.

• Experience building REST APIs gRPC services backend workflows and event-driven systems.

• Strong software engineering fundamentals including clean code testing modular design design patterns dependency management and maintainability.

• Experience designing and building high-throughput low-latency backend services.

• Ability to debug complex runtime concurrency memory and performance issues in Go applications.

System Design & Architecture

• Strong system design and architecture skills.

• Ability to design scalable resilient fault-tolerant and secure distributed systems.

• Strong understanding of:

  • Microservices architecture

  • API design

  • Event-driven architecture

  • Distributed systems

  • Caching strategies

  • Asynchronous processing

  • Database design

  • Reliability engineering

  • Observability patterns

  • Failure handling and recovery patterns

• Ability to evaluate technical tradeoffs across performance scalability security reliability maintainability and delivery timelines.

• Experience taking ambiguous requirements and converting them into clean technical designs and implementation plans.

Kubernetes Development

• Hands-on experience developing software that integrates with Kubernetes.

• Strong understanding of Kubernetes architecture and core concepts including:

  • Pods

  • Deployments

  • Services

  • Ingress

  • ConfigMaps

  • Secrets

  • Namespaces

  • RBAC

  • CRDs

  • Controllers

  • Operators

  • Admission Controllers / Webhooks

• Experience working with Kubernetes APIs and client libraries preferably using Go.

• Experience building Kubernetes controllers operators automation tooling or platform extensions.

• Practical experience with Red Hat OpenShift / OCP is strongly preferred.

• Ability to troubleshoot Kubernetes workload API networking and platform integration issues.

AI / Agentic Programming Skills

• Practical experience using AI-assisted engineering tools and applying AI concepts to software development workflows.

• Understanding of agentic programming concepts including task planning tool invocation workflow automation context handling and iterative reasoning loops.

• Experience building or integrating AI-powered automation intelligent assistants code analysis tools or operational agents is strongly preferred.

• Ability to identify use cases where AI can improve engineering productivity reduce manual effort or enhance platform operations.

• Familiarity with LLM-based application patterns prompt engineering retrieval-augmented generation tool/function calling workflow orchestration or autonomous task execution.

• Experience applying AI in areas such as:

  • Code scanning and remediation

  • Developer self-service

  • Automated ticket/backlog generation

  • Knowledge extraction

  • Operational troubleshooting

  • Platform support automation

  • Intelligent runbook execution

• Experience with Kubernetes operator development using Kubebuilder Operator SDK controller-runtime or Kubernetes client-go.

• Experience with OpenShift platform capabilities including routes SCCs operators cluster integrations and enterprise platform services.

• Experience with service mesh technologies such as Istio Consul or Linkerd.

• Experience with CI/CD and GitOps tools such as Tekton Argo CD Jenkins or GitHub Actions.

• Experience with observability tools such as Prometheus Grafana OpenTelemetry Jaeger Splunk or Dynatrace.

• Experience integrating with enterprise security platforms such as Vault Venafi IAM PKI or secrets management systems.

• Experience with cloud or Kubernetes platforms such as OpenShift EKS AKS Rancher Tanzu or GKE.

• Experience with AI frameworks agent orchestration frameworks vector search embeddings or LLM-based automation platforms.

• Experience working in financial services or another highly regulated enterprise environment.

Differentiating Skills:

Candidates with the following experience will stand out:

• Expert-level Golang engineering experience with strong system design depth.

• Built production-grade backend platforms APIs automation frameworks or developer services.

• Developed Kubernetes controllers operators CRDs or admission webhooks.

• Designed and implemented large-scale distributed systems.

• Built or contributed to internal developer platforms.

• Integrated Kubernetes with enterprise security observability CI/CD governance or compliance systems.

• Built AI-powered engineering tools agents automation workflows or intelligent platform capabilities.

• Strong understanding of how to combine AI automation and platform engineering to reduce operational friction.

• Ability to explain complex system design decisions and technical tradeoffs clearly.

Ideal Candidate Profile:

The ideal candidate is a Niche Golang software engineer with strong system design skills real Kubernetes development experience and practical exposure to AI/agentic programming.

They should be able to design and build scalable backend services develop Kubernetes-native platform components and use AI-driven automation to improve developer experience and operational efficiency. This person should think like a software engineer architect like a systems designer understand Kubernetes as a development platform and be curious about how AI can transform platform engineering.

Shift:

Hours Per Week: