Job Description:

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: