> Markdown version of [/jobs/ext/4545581-software-engineer-golang-system-design-kubernetes-platform-development-ai-automation](https://www.wearedevelopers.com/jobs/ext/4545581-software-engineer-golang-system-design-kubernetes-platform-development-ai-automation). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - Golang, System Design, Kubernetes Platform Development & AI Automation - **Company:** Bank of America - **Location:** Jersey City, NJ, United States - **Salary:** $88,800 - $144,800 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Artificial Intelligence, Static Program Analysis, Code Review, Computer Programming, Continuous Integration, Software Debugging, Software Design Patterns, DevOps, Memory Management, Fault Tolerance, Github, Identity and Access Management, Key Management, Modular Design, Octopus Deploy, OpenShift, Public Key Infrastructure, Reliability Engineering, Software Tools, Prometheus, Search Technologies, Software Engineering, Systems Integration, Workflow Management Systems, Istio, Retrieval-Augmented Generation, Large Language Models, Grafana, Multi-Agent Systems, Concurrency, Prompt Engineering, Caching, Backend, Agentic-AI, Build Management, Tanzu, Kubernetes, Rancher, Azure AKS, Invoking Functions, Restful APIs, Splunk, Jenkins, Golang, Programming Languages, Microservices - **Published:** November 3, 2026 - **Apply:** https://www.careerbuilder.com/job-details/software-engineer-golang-system-design-kubernetes-platform-development-ai-automation-jersey-city-nj--c4c6a3d0-9792-42e1-81a0-ef7e84fd2e9c ## About the Role Software Engineering, Automation, Go Programming Language (Golang), Artificial Intelligence (AI), Software Engineering, Automation, Artificial Intelligence (AI), Go Programming Language (Golang), Engineering, Splunk, 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 & ArchitectureStrong system design and architecture skills.Ability to design scalable, resilient, fault-tolerant, and secure distributed systems.Strong understanding of:Microservices architectureAPI designEvent-driven architectureDistributed systemsCaching strategiesAsynchronous processingDatabase designReliability engineeringObservability patternsFailure handling and recovery patternsAbility 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 DevelopmentHands-on experience developing software that integrates with Kubernetes.Strong understanding of Kubernetes architecture and core concepts including:PodsDeploymentsServicesIngressConfigMapsSecretsNamespacesRBACCRDsControllersOperatorsAdmission Controllers / WebhooksExperience 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 SkillsPractical 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 remediationDeveloper self-serviceAutomated ticket/backlog generationKnowledge extractionOperational troubleshootingPlatform support automationIntelligent runbook executionExperience 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 ## Description 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 EngineeringStrong hands-on experience, developing production-grade