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

Perception Engineer — State Estimation & SLAM

Key skills

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