Senior Software Engineer - Cloud Platform Infrastructure (AI)

TL;DR

Senior Software Engineer (Cloud Infrastructure): Building and automating internal tools and services to operate hirify.global Cloud globally with an accent on cluster provisioning and lifecycle management. Focus on developing Kubernetes controllers and operators to reduce operational toil and eliminate manual infrastructure work.

Location: Remote (restricted to candidates located in the Americas: North, Central, or South America)

Company

hirify.global is a cutting-edge vector database company that provides an open-source engine and managed cloud platform for AI-driven search and data discovery.

What you will do

• Build internal tools and services that power hirify.global Cloud infrastructure.
• Develop automation and platform components using Go and Python.
• Design systems for cluster provisioning, lifecycle management, and infrastructure automation.
• Improve Kubernetes automation through the creation of controllers and operators.
• Design solutions to reduce operational toil and eliminate manual infrastructure work.
• Enhance the reliability, scalability, and observability of the cloud platform.

Requirements

• 5+ years of experience in SRE, platform engineering, or infrastructure software engineering.
• Strong programming skills in Go (preferred) or Python.
• Experience building automation or tooling for cloud infrastructure.
• Hands-on experience operating Kubernetes in production.
• Experience working with AWS, GCP, or Azure.
• Must be based in the Americas (North, Central, or South America) for time-zone alignment.

Nice to have

• Experience building Kubernetes controllers or operators.
• Experience with Terraform or other infrastructure-as-code tools.
• Experience with observability stacks such as Prometheus, Grafana, or OpenTelemetry.
• Experience operating large-scale SaaS infrastructure or database systems.

Culture & Benefits

• Fully remote work environment.
• Flexible working hours.
• Opportunity to work on mission-critical infrastructure powering AI workloads.
• Direct ownership of systems operating a globally distributed cloud platform.
• Strong collaboration with experienced infrastructure and platform engineers.