Senior Platform Engineer — AI Automation & SRE

Jobtailor; Phoenix (AZ); On-site; USD 170,000 - 210,000; Full time

Job summary

Jobtailor in Phoenix, AZ seeks a senior software engineer to drive automation across Global Host Platform systems and build scalable internal tools for global scale. You will leverage Python, Bash, Terraform, Ansible, Docker and Kubernetes, lead deep dives, mentor engineers, and champion AI tooling to accelerate reliability and throughput.

The role requires 8+ years of hands-on software engineering, strong scripting and IaC skills, and experience with agentic AI in production.

Qualifications

• 8+ years of hands-on software engineering experience; systems or backend engineering preferred.
• Hands-on experience with AI developer tools (Claude Code, GitHub Copilot, Cursor, etc.), LLM-backed scripting, and agentic AI systems capable of planning, tool use, and autonomous task execution in engineering workflows.
• Agentic AI in both our developer processes and production services is a must — you build with it day-to-day and you run it where reliability actually counts.
• Strong command of multiple scripting languages and infrastructure-as-code tooling.
• Experience with automated VM deployments (VMware) and automated configuration management (Ansible).
• Containerizing software and tools (Docker, Podman) and deploying them in orchestrated environments (Kubernetes).
• Experience in SRE, DevOps, or platform engineering — or the curiosity and track record to ramp up fast.
• A genuine drive to reduce tech debt, enable teammates, and automate the annoying stuff.
• Ability to lead a team in blending software engineering best practices with fast-moving AI capabilities — and to keep that blend current as both continue to evolve.
• A habit of keeping pace with a market that moves weekly, not yearly — and the instinct to lead and teach others so the whole team stays current, not just you.
• Excellent communication and collaboration skills; you enjoy being a multiplier.
• Nice to have: Background in high-scale production systems (AWS, observability platforms, etc.).
• Nice to have: Experience building or operating MCP servers, or integrating AI agents with internal tooling.
• Nice to have: Experience introducing new development practices or tooling into an existing engineering org.
• Nice to have: Prior involvement in incident management, disaster recovery, or reliability strategy.

Responsibilities

• Write high-quality, maintainable code to accelerate platform automation and reduce tech debt.
• Build internal tools to keep systems scalable and resilient at global scale under peak load.
• Use Python, Bash and Terraform/Ansible to simplify operational workflows.
• Lead deep-dives to spot automation opportunities and tackle inefficiencies.
• Drive adoption of AI developer tools across the team.
• Design agentic AI workflows for autonomous task execution and tool chaining.
• Define patterns for LLM-backed development and AI-augmented refactoring.
• Set internal standards for platform automation, SRE, and code quality.
• Mentor engineers and spread knowledge on AI tooling.
• Partner with reliability engineers to deliver durable automation.
• Lead in-person trainings, gatherings, and hackathons on-site monthly, travel quarterly.

Skills

Python Scripting

Leadership

Mentoring

Excellent Communication

Team Building

AI Developer Tools

Tools

Terraform

Ansible

Docker

Podman

Kubernetes

AWS

VMware

Job description

Jobtailor in Phoenix, AZ seeks a senior software engineer to drive automation across Global Host Platform systems and build scalable internal tools for global scale. You will leverage Python, Bash, Terraform, Ansible, Docker and Kubernetes, lead deep dives, mentor engineers, and champion AI tooling to accelerate reliability and throughput.

The role requires 8+ years of hands-on software engineering, strong scripting and IaC skills, and experience with agentic AI in production.