> Markdown version of [/jobs/ext/4604101-principal-software-engineer-cloud-platform-devex-ai-platform-automation](https://www.wearedevelopers.com/jobs/ext/4604101-principal-software-engineer-cloud-platform-devex-ai-platform-automation). 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). --- # Principal Software Engineer, Cloud Platform (DevEx & AI Platform Automation) - **Company:** ARCHER - **Location:** Jersey City, NJ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Computing Security, Continuous Integration, Programming Tools, Monitoring of Systems, Python (Programming Language), Software Engineering, Systems Integration, Cloud Platform System, Prompt Engineering, AI Coding Agents, Agentic-AI, AI Platforms, Kubernetes, Infrastructure Automation Frameworks, Model Context Protocol, Terraform, Devsecops, Docker, Golang - **Published:** November 6, 2026 - **Apply:** https://www.juju.com/job/28_25303_4ee4a00ef100941b2f9f8a8dca331378 ## About the Role Requires 10 or more years of applied software engineering experience, hands-on experience with a major cloud provider, and strong skills in cloud infrastructure, containers, DevEx, CI/CD, security, and Go or Python. Candidates should also have experience with infrastructure-as-code and monitoring tools, plus demonstrated proficiency in AI-assisted coding workflows; a related master's degree and relevant certifications are preferred., * Cloud Platform Engineering * AWS * Azure * Or GCP * Docker * Kubernetes * Developer Experience * CI/CD * DevSecOps * Go * Python * Terraform * Crossplane * Cloud Security * Observability * AI-Assisted Development * AI Agents And MCP Integrations * Prompt Engineering ## Description Lead the technical direction, design, and development of secure, scalable cloud platforms and developer tools, improving CI/CD, self-service workflows, observability, and developer experience. Advance AI-assisted engineering and platform automation by standardizing AI coding tools and contributing to AI agents and Model Context Protocol integrations.