Site Reliability Engineer

CodeRound AI; Hinoba-an; On-site; PHP 1,000,000 - 1,800,000; Full time

Job summary

CodeRound AI in Hinoba-an, Philippines, seeks an experienced SRE to own the reliability, scalability, and operational excellence of a GenAI platform powering the ML lifecycle. You’ll work across Kubernetes, cloud infrastructure, production systems, observability, automation, and model-serving workloads, while helping build strong SRE and incident-management practices.

Join a fast-growing GenAI startup as an SRE and takeownership of the reliability, scalability, and operational excellence of a

Qualifications

• Experience building scalable, reliable production platforms.
• Strong knowledge of Kubernetes, cloud infrastructure, and incident-management practices.
• Familiarity with observability, monitoring, and release engineering.

Responsibilities

• Own platform uptime, reliability, scalability, and performance.
• Manage Kubernetes clusters, cloud infrastructure, and production environments.
• Establish and improve incident response, on-call, RCA, and postmortem processes.
• Drive deployment, rollback, and change-management practices.
• Handle capacity planning and disaster recovery.
• Build and enhance monitoring, alerting, and operational dashboards.
• Automate deployments, scaling, and repetitive operational workflows.
• Troubleshoot complex production infrastructure and application issues.
• Support GPU workloads and model-serving infrastructure.

Skills

SRE Principles

DevOps Practices

Incident Management

Observability

Tools

Kubernetes

AWS

GCP

Azure

Terraform

Helm

CI/CD

Python

Bash

Go

Linux

Networking

Model Serving

GPU Workloads

Job description

Client: Provider of platform for machine learning model training and deployment. It offers tools for fine-tuning, deploying, and observing machine learning models.

Requirements:

SRE Site Reliability Engineering DevOps Platform Engineering Kubernetes AWS GCP Azure Linux Networking Terraform Helm CI/CD Python Bash Go MLOps AI Infrastructure GPU Model Serving Observability Monitoring Incident Management Production Infrastructure Cloud Infrastructure Release Engineering Reliability Engineering GenAI

Join a fast-growing GenAI startup as an SRE and take ownership of the reliability, scalability, and operational excellence of a platform powering the end-to-end ML lifecycle. You’ll work across Kubernetes, cloud infrastructure, production systems, observability, automation, and model-serving workloads, while helping build strong SRE and incident-management practices.

Responsibilities:

• Own platform uptime, reliability, scalability, and performance
• Manage Kubernetes clusters, cloud infrastructure, and production environments
• Establish and improve incident response, on-call, RCA, and postmortem processes
• Drive deployment, rollback, and change-management practices
• Handle capacity planning and disaster recovery
• Build and enhance monitoring, alerting, and operational dashboards
• Automate deployments, scaling, and repetitive operational workflows
• Troubleshoot complex production infrastructure and application issues
• Support GPU workloads and model-serving infrastructure

Nice to have:

SRE Site Reliability Engineering DevOps Platform Engineering Kubernetes AWS GCP Azure Linux Networking Terraform Helm CI/CD Python Bash Go MLOps AI Infrastructure GPU Model Serving Observability Monitoring Incident Management Production Infrastructure Cloud Infrastructure Release Engineering Reliability Engineering GenAI