Senior Cloud Security & Infrastructure Engineer (AI-Driven)

Sezzle; Ciudad de México; Presencial; MXN 949.000 - 1.804.000; Jornada completa

Descripción de la vacante

Sezzle in Mexico City is seeking a hands-on Senior Security Infrastructure Engineer to strengthen security across cloud infrastructure, applications, and developer workflows. You will own vulnerability management, SIEM, incident response, and security architecture.

This role demands practical results, deep AWS and Kubernetes expertise, and the ability to work with AI tools to automate security. You’ll partner with engineering teams to reduce risk and improve secure deployment practices in a

Formación

• 6+ years of security, software, or infrastructure engineering experience.
• Hands-on experience securing cloud-based production systems.
• Experience with threat modeling and security design reviews.
• Proficient with SIEM platforms (Wazuh, Splunk, ELK).
• Familiarity with PCI DSS and SOC 2 is a plus.

Responsabilidades

• Lead and operate vulnerability management across infrastructure, platforms, and applications, validating true positives and driving remediation with engineering teams.
• Build, operate, and mature SIEM/XDR capabilities, including log ingestion, detection rule development, alert tuning, and investigation workflows.
• Investigate and respond to security incidents across cloud infrastructure and applications, performing root cause analysis and driving long‑term fixes.
• Design and implement detection strategies for suspicious activity, including data exfiltration patterns using telemetry.

Conocimientos

Security engineering

Cloud security

AWS

Kubernetes

SIEM

Incident response

Herramientas

Wazuh

Splunk

ELK

Snyk

Trivy

Descripción del empleo

Sezzle in Mexico City is seeking a hands-on Senior Security Infrastructure Engineer to strengthen security across cloud infrastructure, applications, and developer workflows. You will own vulnerability management, SIEM, incident response, and security architecture.

This role demands practical results, deep AWS and Kubernetes expertise, and the ability to work with AI tools to automate security. You’ll partner with engineering teams to reduce risk and improve secure deployment practices in a