Senior Cloud Engineer

Job summary

Designs, builds, and maintains secure, scalable infrastructure for developing, deploying, and scaling autonomous AI agents and workloads across Microsoft Azure and Google Cloud Platform. The role delivers cloud foundations, infrastructure-as-code modules, pipelines, guardrails, vector datastores, identity controls, Model Context Protocol integrations, observability, token tracing, and FinOps capabilities. It also supports production readiness, platform reliability, incident response, disaster recovery, and the development of junior engineers.

Qualifications

• Strong understanding of cloud infrastructure, networking, automation, and security for AI platforms and workloads.
• Ability to scope, design, and plan large, complex projects.
• Ability to translate business requirements into robust, secure, pragmatic technical solutions.
• Ability to manage stakeholder expectations and communicate with senior management.
• Experience coaching junior team members, developing standards, and serving as a cloud and AI infrastructure subject matter expert.

Responsibilities

• Design, build, and maintain AI platform infrastructure across Azure and GCP.
• Deliver cloud foundations, standard templates, pipelines, and platform guardrails.
• Develop platform capabilities including vector datastores, identity and access controls, MCP integrations, and FinOps.
• Assess proven proofs of concept for production readiness.
• Implement observability, token tracing, prompt-injection defenses, and AI guardrails.
• Apply zero-trust security practices and maintain platform stability and availability.
• Lead escalations and coordinate resolution of major incidents.
• Participate in incident response and disaster recovery.
• Mentor junior engineers through code reviews and technical workshops.

Skills

Industry

Relocation