Senior Site Reliability Engineer – Ai-Driven Cloud, Remote

Sovos; Ciudad de Mendoza; Hybrid; ARS 184,482,000 - 276,723,000; Full time

Benefits offered by this job

Mentorship

Tech Talks

Growth roadmap

Remote/Office options

Education budget

Job summary

AgileEngine is seeking a Site Reliability Engineer to operate and improve a Kubernetes-based API platform across public and private clouds. You will automate tooling, manage incidents end-to-end, and onboard new clients while ensuring performance and reliability.

The role emphasizes hands-on Kubernetes ops, Linux fundamentals, and cloud experience (AWS or Azure), with opportunities to work on observability tools and automation in a growing, people-first organization.

Qualifications

• 4+ years of hands-on experience operating Kubernetes in production.
• Strong Linux and command line fundamentals.
• Experience with a public cloud provider, preferably Azure or AWS.

Responsibilities

• Operate and maintain the Kubernetes based platform across public and private cloud environments.
• Work with observability tooling to ensure alerts are actionable through up-to-date runbooks and documentation.
• Manage incidents from end-to-end, including incident response, root cause analysis, and post incident reviews.
• Onboard and support new clients onto the platform.
• Build automation and diagnostic tooling that cuts manual effort and evaluates performance.
• Identify and deliver process improvements.
• Support software and hardware upgrades and keep components up to date.
• Proactively manage capacity so the platform scales with demand.

Skills

Kubernetes

Linux

AWS

Azure

Grafana

Prometheus

Loki

Tempo

Python

Java

Helm

Terraform

Tools

Helm

Terraform

Grafana

Prometheus

Loki

Tempo

Job description

Site Reliability Engineer (Kubernetes) ID82566

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you’re looking for a place to grow, make an impact, and work with people who care, we’d love to meet you!

ABOUT THE ROLE

We are looking for a Site Reliability Engineer to operate and improve a Kubernetes-based API platform across public and private cloud environments, including automation, tooling, and incident management.

MUST HAVES

• 4+ years of hands‑on experience operating Kubernetes in production, ideally with Service Mesh.
• Strong Linux and command line fundamentals.
• Confident debugging and troubleshooting complex systems, from the application layer through to lower‑level infrastructure.
• Experience working with a public cloud provider, preferably Azure or AWS.

NICE TO HAVES

• Working knowledge of Grafana, Prometheus, Loki and Tempo is a plus.
• Scripting or coding in Python or Java is a strong plus.
• CI/CD, infrastructure as code such as Helm or Terraform is a plus.
• Financial services background is not required.

WHAT YOU WILL DO

• Operate and maintain the Kubernetes based platform across public and private cloud environments.
• Work with observability tooling to ensure alerts are actionable through up‑to‑date runbooks and documentation.
• Manage incidents from end‑to‑end, including incident response, root cause analysis, and post incident reviews.
• Onboard and support new clients onto the platform.
• Build automation and diagnostic tooling that cuts manual effort and evaluates performance.
• Identify and deliver process improvements.
• Support software and hardware upgrades and keep components up to date.
• Proactively manage capacity so the platform scales with demand.

PERKS AND BENEFITS

• Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
• Exciting projects: Modern solutions with Fortune 500 and top product companies.
• Flextime: Flexible schedule with remote and office options.

Requirements Hands‑on experience of at least 4 years operating Kubernetes in production, ideally with Service Mesh. Strong Linux and command line fundamentals. Confident debugging & troubleshooting complex systems, from the application layer through to lower‑level infrastructure. Experience working with a public cloud provider, preferably Azure or AWS.