Senior SRE: Multi-Cloud, AI-Driven Platform

Axle Labs; Frederick (MD); On-site; USD 140,000 - 155,000; Full time

Benefits offered by this job

Full medical, dental, vision coverage

Paid time off

401K match 5%

Educational benefits

Employee referral bonus

FSA accounts

Job summary

Axle is seeking a Site Reliability Engineer to modernize and consolidate a complex multi‑cloud environment across AWS, Azure, and GCP, building a scalable, secure platform with Kubernetes, AI/ML infrastructure, and zero‑trust principles. You will blend DevOps and SRE practices to support mission‑driven scientific programs, emphasizing automation, reliability, compliance, and proactive monitoring.

The role thrives on collaboration, experimentation, and continuous learning, with opportunities to

Qualifications

• Total 6+ years in DevOps/SRE roles with monitoring tools (Prometheus, Grafana, ELK or equivalents).
• 4+ years Linux experience (Ubuntu/CentOS/Red Hat) with containers and admin support.
• 4+ years IaC deployments on AWS, GCP, or Azure.
• 4+ years CI/CD automation tools (Terraform, Ansible, Jenkins, GitHub Actions).
• Strong scripting skills (Python, Bash, PowerShell).

Responsibilities

• Design and implement enterprise-grade monitoring and observability across distributed systems (metrics, logs, traces).
• Establish SLIs/SLOs and error budgets to drive reliability improvements.
• Develop and maintain real-time asset inventories across cloud, on-prem, and hybrid environments.
• Automate provisioning, patching, and lifecycle management; ensure governance.
• Embed ITIL processes into SRE workflows and build golden paths for deployments.
• Lead AI/ML tooling adoption in DevOps pipelines and intelligent remediation.

Skills

DevOps

SRE

Monitoring

Linux

IaC

CI/CD

Python

PowerShell

Docker

Kubernetes

Cloud

Tools

Terraform

Ansible

Chef

Puppet

Jenkins

GitHub Actions

Docker

Kubernetes

Grafana

Splunk

Prometheus

Job description

Axle is seeking a Site Reliability Engineer to modernize and consolidate a complex multi‑cloud environment across AWS, Azure, and GCP, building a scalable, secure platform with Kubernetes, AI/ML infrastructure, and zero‑trust principles. You will blend DevOps and SRE practices to support mission‑driven scientific programs, emphasizing automation, reliability, compliance, and proactive monitoring.

The role thrives on collaboration, experimentation, and continuous learning, with opportunities to