Site Reliability Engineer (Kubernetes)

TL;DR

Site Reliability Engineer (Kubernetes): Designing, deploying, and operating large-scale distributed systems across compute, storage, networking, and AI/ML environments with an accent on Kubernetes, cloud infrastructure, automation, and observability. Focus on building resilient platforms, troubleshooting complex performance issues, and improving reliability through intelligent monitoring and postmortem-driven engineering.

Location: Remote from Mexico

Company

hirify.global provides strategic database, analytics, cloud, and AI/ML services that help mid-sized and large organizations modernize their data infrastructure and improve operational performance.

What you will do

• Operate and optimize Kubernetes clusters, Istio service mesh, and Linux-based systems.
• Automate infrastructure and operational workflows using Go, Python, and Shell scripting.
• Build monitoring and observability solutions with Prometheus, Grafana, and Loki.
• Troubleshoot complex networking, storage, and system performance issues.
• Partner with AI/ML teams to prepare infrastructure for model training and data pipelines.
• Participate in on-call rotations and postmortem reviews to improve system resilience.

Requirements

• Experience with Google Cloud and infrastructure as code tools, particularly Terraform.
• Strong knowledge of microservices, containers including Kubernetes and Docker, and networking.
• Hands-on experience with PKI, service mesh, and Linux systems administration.
• Strong SRE mindset focused on automation, scalability, and reliability.
• Ability to fulfill the requirements necessary to obtain a background check.

Nice to have

• Experience with Golang.

Culture & Benefits

• Remote work from Mexico with company-provided equipment, including a laptop and a budget for personalizing the workspace.
• Training allowance, professional development days, training opportunities, and certification support.
• Annual wellness budget for health and fitness activities.
• Paid vacation and sick days.
• Paid time to volunteer for a preferred charity.
• Collaborative work with experienced professionals in the data and cloud services industry.