Senior Infrastructure Engineer (Production Platform)

About the Role

Within Earth is looking for a highly experienced Senior Infrastructure Engineer to own and manage our mission-critical production infrastructure.

Our hotel platform processes over 1 billion searches per day and thousands of bookings daily. This role is responsible for ensuring our production environment remains stable, secure, scalable, and available 24/7 with near-zero downtime.

You will be responsible for managing our virtualization platform, Linux and Windows production servers, enterprise databases, load balancing, monitoring, automation, performance optimization, and troubleshooting across the full infrastructure stack.

We are looking for someone who can work independently, make sound technical decisions, quickly identify bottlenecks, perform Root Cause Analysis (RCA), and continuously improve the platform.

What You'll Own:

• Production Infrastructure

• XCP-ng Virtualization Cluster

• Linux & Windows Production VMs

• HAProxy Cluster

• SQL Server

• PostgreSQL

• MongoDB

• Redis

• ClickHouse

• Kubernetes & Docker

• Monitoring & Alerting Platform

• GitHub CI/CD

• Infrastructure Automation

• Azure Infrastructure

• Production Performance & Capacity Planning

Required Technical Skills:

• Infrastructure & Virtualization

• You should be able to independently:

• Deploy, manage, troubleshoot and optimize XCP-ng clusters

• Manage VM lifecycle, storage, networking and live migration

• Diagnose virtualization performance bottlenecks

• Plan infrastructure capacity and resource allocation

• Perform disaster recovery and backup management

• Linux & Windows Production Servers

• You should be able to independently:

• Deploy and maintain production Linux and Windows servers

• Troubleshoot CPU, memory, storage and networking issues

• Perform OS performance tuning

• Handle production incidents

• Secure and harden production servers

• Automate administration tasks

• HAProxy

• Advanced production experience with:

• HAProxy deployment and administration

• High Availability clusters

• Health Checks

• SSL Termination

• Sticky Sessions

• ACL Rules

• Backend Failover

• Load Balancing

• Zero Downtime deployments

• Performance tuning

• Troubleshooting production issues

• Database Administration

Hands-on production administration of:

• SQL Server

• PostgreSQL

• MongoDB

• Redis

• ClickHouse

• You should be able to independently:

• Install and configure databases

• Backup & Restore

• Replication

• High Availability

• Performance tuning

• Query optimization

• Capacity planning

• Database monitoring

• Troubleshoot production issues

• Root Cause Analysis

• Monitoring & Observability

Experience building and managing enterprise monitoring using:

• Zabbix

• Datadog

• Grafana

• Prometheus

• ELK (preferred)

• You should be able to:

• Build dashboards

• Configure alerts

• Monitor infrastructure health

• Monitor database performance

• Detect anomalies

• Investigate incidents

• Identify performance bottlenecks

• Kubernetes & Docker

Production experience with:

• Kubernetes

• Cluster Administration

• Deployments

• Services

• Ingress

• Helm

• StatefulSets

• Persistent Volumes

• Autoscaling

• Rolling Updates

• Production Troubleshooting

• Docker

• Docker

• Docker Compose

• Image Optimization

• Container Networking

• Private Registry

• Production Operations

• CI/CD & Automation

Experience with:

• GitHub

• GitHub Actions

• CI/CD Pipelines

• Release Automation

• Rollback Strategy

• Secrets Management

• Strong scripting skills using:

• PowerShell

• Bash

• Python

• Automation experience is essential.

• Cloud

• Experience managing Azure production environments including:

• Virtual Machines

• Networking

• Storage

• Monitoring

• Hybrid Infrastructure

• Performance & Troubleshooting

We're Looking For Someone Who Can

✅ Own production infrastructure independently.

✅ Troubleshoot across the complete infrastructure stack.

✅ Identify problems before they impact production.

✅ Make sound technical decisions.

✅ Optimize systems before recommending hardware upgrades.

✅ Automate repetitive operational tasks.

✅ Manage high-availability infrastructure.

✅ Design scalable production systems.

✅ Work comfortably in a fast-moving 24/7 production environment.