> Markdown version of [/jobs/ext/3870216-ccloud-platform-engineer](https://www.wearedevelopers.com/jobs/ext/3870216-ccloud-platform-engineer). 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). --- # CCloud Platform Engineer - **Company:** The Bridge Ltd - **Location:** Snowflake, AZ, United States (Remote available) - **Contract:** Permanent contract - **Skills:** Microsoft Access, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Cursor, Python (Programming Language), Key Management, Site Reliability Engineering Practices, Standard Sql, TypeScript, Data Logging, GitHub Copilot, Snowflake, AI Coding Agents, Deployment Automation, Data Management, Front End Software Development, Data Pipelines, Devsecops - **Published:** October 22, 2026 - **Apply:** https://www.careerjet.com/job/usee94628793acf774641e676f73c09c72/eaa ## About the Role Cloud-native development and deployment experience, ideally strong on Azure with AWS exposure Strong hands-on IaC, CI/CD, containers, monitoring and logging Solid Python and SQL skills (TypeScript is a plus) Understanding of data engineering concepts: ETL, pipelines, storage and integration Experience in cross-functional, international teams Comfortable using AI coding tools (GitHub Copilot, Cursor or similar) Fluent English Nice to have Snowflake, Azure AI Foundry, LangChain, MCP or similar AI tooling DevSecOps, platform engineering or SRE practices Cloud certifications Frontend or developer portal experience ## Description Join the central AI team of a leading European logistics group, present in around 40 countries. You'll build and run the cloud foundation that takes AI use cases, agents and data products from prototype to production. What you'll do Build and operate cloud-native infrastructure for AI solutions, data pipelines, APIs and agents, mainly on Azure with some AWS Create reusable infrastructure, deployment and observability patterns Automate provisioning, CI/CD, monitoring, logging, secrets management and cost controls Support cloud architecture decisions for agentic workflows, event-driven services and data platforms Ensure environments follow security standards for identity, access, encryption and resilience Work with country IT teams to onboard environments, troubleshoot deployments and scale use cases