Software Developer IV, Golang, Kubernetes

Rackspace Technology

Expert Software Developer IV at Rackspace Technology designing scalable backend services in Go and Kubernetes. Building and mentoring in an AI-first engineering culture with modern cloud-native technology.

Posted 8/3/2026full-timeRemote • 🇺🇸 United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Go (Golang) development and deep Kubernetes knowledge, with a focus on building scalable backend services and cloud-native applications. Proficient in AI tooling and modern Generative AI concepts, ensuring operational excellence and architectural growth.

Highest-signal resume keywords

Expert-Level Go (Golang) DevelopmentDeep Kubernetes ExpertiseDistributed Systems and Microservices ArchitecturesRESTful APIs and Event-Driven SystemsAI Coding Assistants Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Go (Golang)KubernetesDistributed SystemsMicroservices ArchitectureRESTful APIsEvent-Driven SystemsSoftware Design PatternsCI/CDDevOpsSecure Coding Practices

Soft Skills

CoachingLeadership

Tools & Technologies

Controller-RuntimeKubebuilderAI Coding AssistantsClaude CodeKiroCodexGitHub Copilot

Industry Keywords

Cloud-Native Best PracticesObservabilityResiliencyOperational ReadinessGenerative AILarge Language ModelsModel ServingLatencyPerformance ImprovementsModel Fine-Tuning Techniques

Tech Stack

Tools & technologies

CloudDistributed SystemsGoKubernetesMicroservices

About the role

Key responsibilities & impact

Architect and build the RackAI platform
Design and develop highly scalable backend services in Go (Golang)
Build Kubernetes-native applications — operators, controllers, and platform services — using controller-runtime and kubebuilder.
Define and evolve the RackAI platform architecture for growth, reliability, security, and operational excellence.
Develop the APIs, automation frameworks, and platform capabilities that power AI-enabled products.
Champion cloud-native best practices: observability, resiliency, and operational readiness.
Lead an AI-first engineering culture
Coach engineers to get real leverage from AI tooling, and continually assess what to adopt next.

Requirements

What you’ll need

Nine or more years in software development
Expert-level Go (Golang) development
Deep Kubernetes expertise — architecture, operations, and application development
Proven experience with distributed systems and microservices architectures
Strong command of RESTful APIs, event-driven systems, and service-oriented architecture
Solid grounding in software design patterns, CI/CD, DevOps, Git-based workflows, and secure coding practices.
Hands-on experience with AI coding assistants such as Claude Code , Kiro , Codex , and GitHub Copilot
Practical understanding of modern Generative AI and Large Language Models (LLMs)
Understanding of AI inference concepts, including model serving, latency, throughput, batching, performance improvements, optimizations, benchmarking of model inference.
Knowledge of model fine-tuning techniques, including supervised fine-tuning (SFT), LoRA, and parameter-efficient fine-tuning (PEFT).

Benefits

Comp & perks

Health insurance
Flexible work arrangements
Professional development opportunities