AI-Driven DevOps Engineer – AWS & Automation

tonder; Ciudad de México; On-site; MXN 600,000 - 920,000; Full time

Job summary

Tonder is building payments infrastructure for Latin America and seeks a DevOps Engineer to own, automate, and continuously improve production platforms on AWS with a focus on reliability and observability.

You’ll implement AI-driven automation, scale deployments, and drive end-to-end infrastructure projects, turning manual tasks into self-operating systems while applying strong engineering judgment.

Qualifications

• Strong experience operating production infrastructure on AWS.
• Proficient in CI/CD pipelines and Infrastructure as Code.
• Skilled in scripting and automation.
• Experience with high-availability and high-throughput systems.
• Ability to debug complex production issues.
• Knowledge of cloud networking, reliability and scalability.

Responsibilities

• Own and improve AWS infrastructure, CI/CD, observability, monitoring, alerting, and production reliability.
• Build AI-driven automation for deployments, infrastructure operations, incident detection, diagnosis, and repetitive DevOps workflows.
• Drive infrastructure projects end-to-end, including rollout, validation, monitoring, and continuous improvement.
• Improve deployment safety, recovery processes, scalability, redundancy, and infrastructure performance.
• Turn recurring incidents and manual operational work into automated systems.
• Proactively identify reliability risks and infrastructure bottlenecks before they become incidents.

Skills

AWS operations

CI/CD

Infrastructure as Code

Observability

Scripting

High availability

AI automation tools

Job description

Tonder is building payments infrastructure for Latin America and seeks a DevOps Engineer to own, automate, and continuously improve production platforms on AWS with a focus on reliability and observability.

You’ll implement AI-driven automation, scale deployments, and drive end-to-end infrastructure projects, turning manual tasks into self-operating systems while applying strong engineering judgment.