Sr. SRE Engineer

Hace 19 horas

rosario, santa fe, Argentina Quality Ai Jornada completa

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Sr. SRE Engineer

Date: 15 Oct 2026 Company: QualityAI Country/Region: AR

Are you interested in working with the World’s leading AI-powered Quality Engineering Company? Ready to advance your career, team up with global thought leaders across industries and make a difference every day? Join us at QualityAI We are looking for a Sr. SRE Engineer to join our growing team in Argentina/Mexico

Location

Argentina/Mexico (remote)

This is the role specification for a senior reliability leader who can combine SRE discipline, platform operations, and automation-first thinking across the NewLeaf Azure application estate.

Role Summary

  • We are hiring a hands-on SRE Lead to own reliability across the full NewLeaf application platform on Azure.
  • This role covers customer-facing websites, backend services, APIs, integrations, event-driven workflows, observability, incident management, self-healing automation, on-call operations, and operational reporting.
  • The goal is to build a resilient operating model for the entire product ecosystem, not just the underlying cloud infrastructure.

What "Platform" Means Here

  • Public and internal websites
  • Backend services and APIs
  • Azure-hosted application workloads
  • Integrations and event processing
  • Monitoring, alerting, dashboards, and reporting
  • Incident response, postmortems, and reliability improvements
  • Runbooks, operational standards, and self-healing automation
  • On-call rotation design and engineering readiness

Primary Responsibilities

  • Define the reliability strategy for the NewLeaf platform and keep it aligned with business priorities.
  • Own incident detection, triage, escalation, communication, and post-incident follow-through.
  • Build operational dashboards that show service health, user impact, and reliability trends.
  • Design self-healing and auto-remediation workflows for recurring failure modes.
  • Create and maintain runbooks, playbooks, and a living reliability rulebook.
  • Design and support a sustainable on-call rotation model for engineering teams.
  • Drive root-cause analysis and convert recurring issues into permanent fixes or automation.
  • Partner with application, integration, and platform teams to reduce operational risk across boundaries.

Required Skill Set

  • Strong SRE or platform engineering background with direct ownership of production systems.
  • Deep incident management experience, including severity classification, incident command, and postmortem rigor.
  • Practical observability expertise across logs, metrics, traces, dashboards, alerting, and service health reporting.
  • Ability to build or influence automation for detection, triage, remediation, and follow-up tasks.
  • Experience shaping on-call practices, escalation paths, and team readiness.
  • Comfort operating across application services, integrations, asynchronous processing, and release workflows.
  • Clear communication skills for translating technical risk into operational and executive language.
  • Ability to coach engineers and raise the maturity of a team without creating unnecessary process overhead.

Azure and Platform Stack Familiarity

  • Microsoft Azure operations and governance.
  • Azure Monitor, Application Insights, and Log Analytics.
  • Azure Service Bus, Event Grid, Event Hub, and timer-driven/background processing patterns.
  • Azure Functions, App Service, and other cloud-hosted application runtimes.
  • Key Vault, Storage, and identity-aware service configuration.
  • CI/CD pipelines and safe deployment practices, including release validation and rollback readiness.
  • Infrastructure-as-code tooling such as Bicep or Terraform, where used by the team.
  • Kusto Query Language and operational reporting from telemetry data.

Agentic Operations and Automation

  • Use agents or automation to assist with analysis, incident summarization, runbook execution, and follow-up work.
  • Treat automation as a reliability control, not a novelty layer.
  • Apply safety checks, approvals, logging, and rollback paths before any automated remediation is allowed to act on production systems.