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Senior Site Reliability Engineer

KMSTechnology1

Guadalajara, Jal., Mexico Hybrid permanent

Posted: March 26, 2026

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Quick Summary

As a Senior Site Reliability Engineer, you will design, develop, and deploy scalable and efficient infrastructure to support our AI-powered property intelligence platform.

Job Description

At KMS Technology Mexico, we are passionate about building innovative software solutions that drive impact. As part of an international tech company, we offer a collaborative and inclusive environment where your ideas matter and your growth is our priority.

We are looking for a Senior SRE to join our core engineering team in building the next generation of AI-powered property intelligence for the insurance industry. In this role, you will be the guardian of a platform’s availability, latency, and performance.

You will work at the heart of a high-demand ecosystem, ensuring that our Node.js microservices and AI/ML pipelines running on Google Cloud Platform (GCP) are resilient, scalable, and secure. This is a "Software Engineering approach to Operations" role, where automation is the default and manual intervention is a last resort.

Key Responsibilities

Infrastructure & Platform Engineering

• Cloud Architecture: Design and manage scalable, multi-regional infrastructure on GCP, leveraging GKE (Kubernetes), Cloud Run, and Pub/Sub.

• Infrastructure as Code (IaC): Maintain and evolve our infrastructure codebase using Terraform or Pulumi, ensuring environment parity across Staging and Production.

• Node.js Optimization: Partner with Fullstack teams to tune Node.js application performance, managing memory limits, event loop bottlenecks, and asynchronous execution in a containerized environment.

Observability & Reliability

• SLO/SLI Definition: Define and monitor Service Level Indicators (SLIs) and Objectives (SLOs) to measure the "health" of our property intelligence engine.

• Advanced Monitoring: Build comprehensive dashboards and alerting systems using Google Cloud Operations Suite (Stackdriver), Prometheus, or Grafana.

• Incident Management: Lead Root Cause Analysis (RCA) for production incidents and implement "Blameless Post-mortems" to prevent recurrence.

 

AI & Data Operations

• MLOps Integration: Support the scaling of AI models by optimizing GPU/TPU utilization and data ingestion pipelines within GCP.

Security & Compliance: Ensure the platform meets the rigorous data privacy standards of the insurance industry, including SOC2 and GDPR compliance.

Technical Requirements:

• 5+ years in an SRE, DevOps, or System Architecture role.

• GCP Expertise: Deep experience with Google Cloud Platform, specifically GKE, IAM, Cloud SQL, and VPC networking.

• Coding Proficiency: Strong experience with Node.js (backend services) and scripting in Python or Go for automation.

• Orchestration: Expert-level knowledge of Kubernetes (GKE), including Helm charts and service meshes (Istio/Anthos).

• CI/CD: Experience building high-frequency deployment pipelines with GitHub Actions, GitLab CI, or Google Cloud Build.

Professional Competencies:

• The "SRE Mindset": A passion for automation and a visceral dislike of repetitive manual tasks ("Toil").

• Strategic Communication: Ability to translate complex infrastructure risks into business impact for Stakeholders and Delivery Directors.

• AI-First Workflow: Proactive use of AI tools for log anomaly detection, predictive scaling, and automated troubleshooting.

Location: Guadalajara, Jalisco, Mexico (Hybrid) 

Benefits and Perks

Perks you enjoy at KMS Mexico

• Mexican law benefits
• 15 days of PTO (in year zero, from the first year onwards it is 3 days per year).
• 5 days' leave for the death of immediate family members, negotiable.
• Major Medical Expenses Insurance with coverage for immediate dependents (spouse and children).
• Annual performance bonus (≈10% of annualized salary).
• Annual salary adjustment.
• Employee Referral Bonus.
• Paid Certifications / Courses
• Coursera License.
• 5% Savings Fund.
• 5% Grocery Vouchers.

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