Site Reliability Engineer / DevOps Engineer

TL;DR

Site Reliability Engineer / DevOps Engineer: Building and optimizing high-performance systems for availability, latency, and efficiency with an accent on automation, disaster resilience, and proactive monitoring. Focus on applying a software engineering mindset to system administration, improving SDLC, and performing chaos engineering to safeguard reliability and performance.

Location: Alpharetta, Georgia, USA. Applicants MUST be authorized to work in the U.S. The company is UNABLE to sponsor or take over sponsorship of an employment Visa or Student Visa.

Company

hirify.global is a company focused on IT Operations Architecture, providing services related to availability, latency, performance, efficiency, and change management.

What you will do

• Push systems to their limits and design for next-tier performance.
• Improve automation and processes using DevOps and GitOps practices.
• Safeguard reliability by ensuring services are highly available, resilient, self-monitoring, and self-healing.
• Run “game days” to test reliability assumptions and identify risks.
• Build systems to proactively monitor health, performance, and security of virtualized infrastructure.
• Evolve SDLC, practices, and tooling for Site Reliability considerations.

Requirements

• Minimum of 2 years relevant experience.
• Knowledge of SDLCs, scripting languages (Go, Powershell, Bash).
• Experience building and managing GCP environments.
• Proficiency in automating autonomous solutions, change management, incident management, and agile methodologies.
• Experience with GCP, Jenkins, Terraform, Ansible, OpenShift, and Kubernetes.
• Experience with monitoring platforms including GCP, Datadog, Thousand Eyes, Logic Monitor, Logstash, Splunk, Looker Studio.
• Applicants MUST be authorized to work in the U.S.
• Company is UNABLE to sponsor or take over sponsorship of an employment Visa or Student Visa.

Culture & Benefits

• Opportunity to work on problems of moderate scope, requiring analysis of various factors.
• Focus on building productive internal and external working relationships.
• Emphasis on continuous learning regarding system behaviors and potential failure points through chaos engineering.