Senior Infrastructure Engineer

present of AI; New York (NY); Sur place; USD 120 000 - 150 000; Plein temps

Résumé du poste

Axion is seeking a hands-on DevOps professional to run and grow the cloud base used by a small engineering team. You will work with GCP and Kubernetes, implement Terraform-based infrastructure, and own delivery pipelines and monitoring.

This role requires comfort with uncertainty, tight incident response, and setting reliability targets. Ideal candidates have 4+ years in DevOps or reliability work and can lead during incidents while balancing security and cost.

Qualifications

• 4+ years in DevOps or reliability engineering.
• Hands-on work with GCP, Kubernetes and Terraform.
• Comfort with unclear priorities and leading during incidents.

Responsabilités

• Run and grow the cloud foundation for a small engineering team.
• Participate in on-call rotation and incident response.
• Set reliability targets and drive improvements across pipelines and monitoring.

Connaissances

DevOps

Reliability engineering

Incident response

Unclear-priority handling

Outils

GCP

Kubernetes

Terraform

CI/CD pipelines

Description du poste

This role is about running and growing the cloud base that a small engineering team ships on. It asks for solid hands-on work with GCP, Kubernetes, Terraform, delivery pipelines and monitoring, plus a willingness to join the on-call rotation. A strong candidate has four or more years in DevOps or reliability work, is comfortable with unclear priorities, and can set up reliability targets and lead when incidents happen.

How it fits the AI era

AI tools can now draft infrastructure code, summarize alerts and speed up routine pipeline work, so the value shifts toward judgment about what to build and what to trust. People still decide how much risk is acceptable, handle incidents under pressure, and weigh security and cost trade-offs. The posting also mentions using agents to speed up delivery, which suggests this is a place where AI-assisted engineering is welcome.

How it builds AI experience

Axion runs an AI platform that studies field, service and warranty data to catch product defects early, so the infrastructure here supports data-heavy AI workloads. Working on it would build experience in hosting and scaling AI services reliably and watching their health. Someone can prepare by trying coding agents on Terraform and pipeline tasks, and by learning how data-driven services are deployed and monitored.

Worth showing

• GCP and GKE production experience
• Observability and incident response stories
• Reliability targets and cost savings

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Axion

Axion is an AI quality-intelligence platform that spots emerging product defects from field, service and warranty data before they become expensive recalls.