Senior Cloud Engineer

C.H. Robinson is seeking a Senior Cloud Platform Engineer to build reliable, reusable cloud platform products and developer self-service capabilities. The role focuses on software development, cloud infrastructure, automation, AI-enabled capabilities, observability, security, reliability, cost optimization, and production support.

Responsibilities:

• Design, develop, test, and maintain cloud platform services, APIs, command-line tools, automation, and reusable software components
• Build self-service capabilities that enable product teams to provision and manage infrastructure and platform services safely and consistently
• Develop production-quality software using Go, Rust, Python, .NET, or similar languages, and quickly learn additional languages and frameworks as needed
• Create and integrate AI-enabled platform capabilities, including agents, Model Context Protocol (MCP) servers and clients, retrieval and tool integrations, and APIs that interact with large language models
• Apply sound software engineering practices, including modular design, code review, automated testing, versioning, documentation, secure coding, and maintainable release processes
• Build and improve CI/CD pipelines for application code, platform services, containers, and Infrastructure as Code
• Develop reusable Infrastructure as Code modules and policy-driven automation for cloud provisioning, configuration, and governance
• Partner with internal engineering teams to identify friction, translate requirements into platform capabilities, and drive adoption through clear documentation and intuitive developer experiences
• Own services through their full lifecycle, including design, deployment, production readiness, monitoring, incident response, maintenance, and continuous improvement
• Participate in the cloud team support and on-call rotation; diagnose and resolve issues across compute, containers, networking, DNS, identity, storage, data services, security controls, and deployment tooling
• Design observability into platform services using logs, metrics, traces, dashboards, alerts, and service-level indicators
• Improve platform reliability by reducing operational toil, eliminating recurring failure modes, and implementing resilient design and recovery patterns
• Evaluate emerging technologies and make practical recommendations based on business value, supportability, security, reliability, and cost
• Contribute to architecture, capacity planning, technical standards, engineering practices, cross-training, and mentoring

Requirements:

• 7+ years of progressively responsible experience in software engineering, cloud engineering, platform engineering, infrastructure engineering, or a related field
• 5-7 years of hands-on software development experience with one or more of the following: Go, Rust, Python, or .NET, with demonstrated ability to learn additional languages and frameworks quickly
• Experience designing, building, testing, and supporting production software, APIs, services, automation, or developer tooling
• Enterprise experience building, deploying, maintaining, and supporting workloads in Microsoft Azure or another major public cloud
• Strong understanding of cloud and infrastructure fundamentals, including networking, DNS, load balancing, identity and access management, compute, storage, certificates, secrets, and security controls
• Proficiency with containers and container orchestration, preferably Kubernetes
• Proficiency with CI/CD concepts and tools, including source control, build automation, artifact management, deployment strategies, and environment promotion
• Hands-on experience with Infrastructure as Code and configuration automation, such as Terraform, Bicep, Ansible, or equivalent technologies
• Experience programmatically integrating with large language models or AI platforms through APIs, agents, tools, MCP, or related patterns
• Experience with automated testing, including unit, integration, functional, performance, and reliability testing
• Experience designing and using observability capabilities across applications and infrastructure, including metrics, logs, traces, alerting, and APM tools
• Strong Linux troubleshooting and systems administration skills
• Experience with data platforms or messaging technologies such as Microsoft SQL Server, Elasticsearch, MongoDB, Kafka, or comparable services
• Ability to troubleshoot complex distributed systems and production issues across application and infrastructure layers
• Strong written and verbal communication skills, with the ability to collaborate across software development, infrastructure, security, and business teams
• Experience building internal developer platforms, platform APIs, service catalogs, golden paths, paved roads, or self-service portals
• Experience designing multi-tenant services, asynchronous workflows, event-driven systems, or distributed systems
• Familiarity with API design and lifecycle practices, including REST or gRPC, authentication and authorization, schema/version management, rate limiting, and API observability
• Experience with AI engineering patterns such as tool calling, retrieval-augmented generation, prompt and agent evaluation, guardrails, model routing, cost controls, and secure handling of enterprise data
• Experience with GitOps, policy as code, secrets management, software supply-chain security, or cloud governance automation
• Experience applying site reliability engineering practices, including service-level objectives, error budgets, incident management, capacity planning, and post-incident improvement
• Experience contributing to technical standards, reusable libraries, open-source projects, or engineering communities of practice