Prologis
logistics
SeniorCloud&AIEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Cloud & AI Engineer at Prologis. Skills: Cloud Engineering, AI Automation, Platform Engineering. Identify high-friction operational workflows and redesign them using AI, automation, and platform engineering patterns. Build agentic and event-driven workflows for provisioning, remediation, change execution, and support deflection”
What You'll Achieve.
Improve reliability, speed, and engineering leverage across the team; Reduce dependency on manual requests and ticket-driven workflows; Reduce operational overhead
Industry & Context.
Troubleshoot complex issues across cloud, networking, identity, and distributed systems; Troubleshooting instincts across distributed systems and APIs; Ability to identify inefficiencies and drive systemic change
What They're Looking For.
Must Have
AWS (EC2, Lambda, RDS, S3, DynamoDB, IAM), Azure, Solid networking fundamentals (DNS, routing, security), Infrastructure as Code — Terraform preferred, CloudFormation experience a plus, CI/CD pipelines (Azure DevOps or similar), scripting and programming — Python Bash, PowerShell, Git workflows (branching, pull requests, code review), authentication and identity systems (SAML, OAuth, Entra ID / Azure AD), Experience designing or building AI-assisted or agentic workflows for engineering or operational use cases, Ability to evaluate when AI is the right tool, where deterministic automation is better, and how to combine the two safely, Demonstrated ability to apply AI tooling to reduce operational overhead — not just using copilots, but building AI into systems and processes, Familiarity with AI orchestration concepts: tool use, context management, human-in-the-loop patterns, observability for AI-driven actions, troubleshooting instincts across distributed systems and APIs, Ability to identify inefficiencies and drive systemic change — not just automate what exists, but question whether it should exist, Ability to influence engineering teams and introduce new patterns, standards, and ways of working
Nice to Have
7+ years in infrastructure, DevOps, cloud engineering, or platform engineering, Experience with agentic AI frameworks, LLM orchestration, or AI-driven workflow tools (e. g. , OpenAI Agents SDK, LangChain, n8n, MCP), Experience with internal developer platforms, self-service tooling, or platform engineering practices, Familiarity with ServiceNow, or similar ITSM/workflow platforms, Experience supporting production systems in enterprise environments
What You'll Do.
Identify high-friction operational workflows and redesign them using AI
and platform engineering patterns
Build agentic and event-driven workflows for provisioning
and support deflection
Establish engineering standards for safe AI use in cloud operations — including observability
human-in-the-loop controls
Implement AI-assisted tooling for incident detection
and automated remediation
Design and build self-service infrastructure capabilities using standardized modules
and reusable components
Enable teams to provision
and operate infrastructure through code
and internal platforms
Design and operate infrastructure across AWS and Azure using infrastructure-as-code
Build scalable systems using serverless
and cloud-native architectures
Automate identity and access workflows
Challenge existing operational processes and propose improvements that increase engineering leverage
Influence engineering teams by introducing new patterns
Measure and communicate the impact of automation and AI adoption on operational metrics
How You'll Work.
Team & Collaboration
Influence engineering teams by introducing new patterns, standards, and ways of working
Full Job Description
At Prologis, we don’t just lead the industry—we define it with a 1.3 billion square foot portfolio and an annual throughput of approximately $3.2 trillion. We create the intelligent infrastructure that powers global commerce, seamlessly connecting the digital and physical worlds. From agile supply chains to energy solutions, our ecosystems help your business move faster, operate smarter and grow sustainably. With unmatched scale, innovation and expertise, Prologis is a category of one—not just shaping the future of logistics but building what comes next. **Job Title:** Senior Cloud & AI Engineer **Company:** Prologis **A day in the life** We are seeking a senior cloud engineer who combines deep infrastructure engineering expertise with an AI-first mindset. This role will help transform how Cloud Engineering operates — replacing repetitive work with intelligent automation, agentic workflows, and self-service platforms. The right candidate will not simply automate existing tasks; they will challenge current ways of working, redesign operational processes, and build scalable patterns that improve reliability, speed, and engineering leverage across the team. This is a change-agent role. You will work at the intersection of cloud infrastructure, platform engineering, and applied AI — evaluating where agentic automation can replace manual toil, where deterministic automation is the right answer, and how to combine the two safely at enterprise scale. **Key responsibilities include:** **AI & Agentic Automation** * Identify high-friction operational workflows and redesign them using AI, automation, and platform engineering patterns. * Build agentic and event-driven workflows for provisioning, remediation, change execution, and support deflection. * Establish engineering standards for safe AI use in cloud operations — including observability, human-in-the-loop controls, auditability, and rollback. * Implement AI-assisted tooling for incident detection, classification, root ca
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