Site Reliability Engineer – AI Infrastructure

Job not on LinkedIn

🕒 February 27

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of Andromeda

Andromeda

11 - 50 employees

🤖 Artificial Intelligence

🤝 B2B

🔧 Hardware

🔥 Funding within the last year

💰 $15.1M Series A - Andromeda Robotics on 2025-09

Artificial Intelligence • B2B • Hardware

Andromeda is a GPU compute service and marketplace offering instant access to large clusters of H100, H200, and B200 accelerators for experiments, full-scale training, and inference. It supports orchestration with Slurm, Kubernetes, or direct SSH, provides flexible, no-minimum-duration usage and competitive pricing, and includes DevOps expertise, local NAS or streamed storage with no ingress/egress fees, and 24/7 support with industry SLAs. The company also operates a third-party GPU marketplace at gpulist. ai.

📋 Description

• Provision, configure, and operate Kubernetes-based clusters for customers across multiple providers • Build automation and tooling to streamline cluster deployments and integrations • Debug customer issues across networking, storage, scheduling, and system layers • Improve reliability and scalability of both training and inference infrastructure • Design and implement monitoring, alerting, and observability for critical systems • Collaborate with engineering and product teams to plan and deliver infrastructure for new services • Participate in on-call and incident response, leading postmortems and reliability improvements

🎯 Requirements

• 5+ years experience in SRE, DevOps, or infrastructure engineering roles • Strong Linux systems and networking fundamentals • Deep experience with Kubernetes and container orchestration at scale • Proficiency with Infrastructure-as-Code (Terraform, Helm, Ansible, etc.) • Strong automation and scripting skills (Python, Go, or Bash) • Experience with observability stacks (Prometheus, Grafana, Loki, Datadog, etc.) • Track record of operating production systems and leading incident response

🏖️ Benefits

• Ownership and autonomy to shape systems • Opportunities to work directly with customers and providers

Apply Now

Similar Jobs

🕒 February 25

Nick AI

1 - 10

🤖 Artificial Intelligence

₿ Crypto

☁️ SaaS

Backend/DevOps Engineer managing deployments and infrastructure for AI trading platform. Responsible for security, reliability, and scaling of systems across multiple venues.

AWS

Cloud

Docker

Google Cloud Platform

Grafana

Kubernetes

Prometheus

Python

Web3

🕒 February 25

WorkOS

51 - 200

🔌 API

🏢 Enterprise

🤝 B2B

Site Reliability Engineer ensuring reliability and performance at WorkOS across complex systems. Leading incident response and collaborating with cross-functional teams for operational excellence.

AWS

Cloud

Grafana

Kubernetes

Prometheus

TypeScript

🕒 February 25

Vultr

201 - 500

🤖 Artificial Intelligence

🤝 B2B

🔧 Hardware

Senior Site Reliability Engineer at Vultr ensuring performance and reliability of cloud services for 1.5 million users. Focused on large-scale systems and infrastructure automation.

🇺🇸 United States – Remote

💵 $120k - $130k / year

💰 $329M Debt Financing - Vultr on 2025-06

⏰ Full Time

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

Distributed Systems

Grafana

Linux

MySQL

PHP

Puppet

🕒 February 25

Vultr

201 - 500

🤖 Artificial Intelligence

🤝 B2B

🔧 Hardware

NetDevOps Engineer for RDMA Fabric Automation at Vultr. Automating and operating Ethernet fabrics with a focus on network performance.

🇺🇸 United States – Remote

💵 $90k - $130k / year

💰 $329M Debt Financing - Vultr on 2025-06

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

Ansible

Grafana

Jenkins

Kafka

Linux

PHP

Prometheus

Python

Rust

Go

🕒 February 25

Tactibit Technologies

11 - 50

🔒 Cybersecurity

🏛️ Government

DevOps Engineer working at Tactibit Technologies to modernize legacy architectures for mission-critical systems. Collaborate with teams on cloud migrations and automating business processes.

AWS

Cloud