Lead Site Reliability Engineer

Guadalajara - Mexico

Monthly Salary: Not Disclosed

Posted on: 7 hours ago

Vacancies: 1 Vacancy

Department:

Engineering

Job Summary

We are seeking a Lead Site Reliability Engineer to spearhead the reliability scalability and performance of our AI-powered property intelligence platform. Operating at the intersection of Geospatial AI and Insurance Technology you will be responsible for a mission-critical Azure ecosystem supporting high-throughput Java microservices.

As a Lead you will bridge the gap between complex AI model inference and enterprise-grade stability. You will own the Production Excellence mandate mentoring a team of engineers and collaborating with Senior Delivery Directors to ensure our global infrastructure stays ahead of our rapid growth.

Key Responsibilities

Strategic Infrastructure & Azure Leadership

Cloud Architecture: Lead the design of highly available multi-region architectures on Azure utilizing AKS (Azure Kubernetes Service) Azure Functions and Service Bus.
IaC Governance: Establish and enforce standards for Infrastructure as Code using Terraform or Bicep ensuring 100% automated provisioning across all environments.
Java Performance Engineering: Partner with Backend squads to optimize JVM performance garbage collection tuning and memory management for high-concurrency insurance processing.

Reliability & AI Operations (AIOps)

Error Budgeting: Define negotiate and manage SLIs SLOs and SLAs with Product Stakeholders balancing the velocity of AI feature releases with system stability.
Advanced Observability: Architect end-to-end monitoring and distributed tracing using Azure Monitor Application Insights and ELK/Grafana.
Incident Commander: Act as the ultimate escalation point for high-priority incidents leading complex Root Cause Analysis (RCA) and driving long-term remediation tasks.

Security & Industry Compliance

Data Sovereignty: Ensure the platform adheres to insurance-specific data residency requirements and security frameworks (SOC2 HIPAA or ISO 27001).
Automated Governance: Implement Azure Policy and automated security scanning within CI/CD pipelines to ensure a Secure by Design infrastructure.

Qualifications :

Technical Leadership:

7 years in SRE DevOps or Cloud Engineering with at least 2 years in a Lead or Principal capacity.
Azure Mastery: Expert-level knowledge of the Azure Well-Architected Framework specifically around networking (VNet/ExpressRoute) and Compute.
Java Ecosystem: Deep proficiency in the Java/Spring Boot stack from an operational perspective (JVM profiling thread dump analysis).
Container Orchestration: Mastery of Kubernetes (AKS) including ingress controllers service mesh (Istio) and cluster security.

Professional Competencies:

Strategic Mindset: Ability to translate technical debt and reliability risks into a data-driven business case for leadership.
Automation Advocate: Proven track record of eliminating Toil through Python Go or Java-based automation tooling.
Mentorship: Passion for leveling up the engineering organization through workshops documentation and pair programming.
AI-First Integration: Experience leveraging AI for predictive scaling and automated log summarization to reduce Mean Time to Recovery (MTTR).

Additional Information :

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.

Remote Work :

Employment Type :

Full-time

We are seeking a Lead Site Reliability Engineer to spearhead the reliability scalability and performance of our AI-powered property intelligence platform. Operating at the intersection of Geospatial AI and Insurance Technology you will be responsible for a mission-critical Azure ecosystem supporting...

Key Responsibilities

Strategic Infrastructure & Azure Leadership

Cloud Architecture: Lead the design of highly available multi-region architectures on Azure utilizing AKS (Azure Kubernetes Service) Azure Functions and Service Bus.
IaC Governance: Establish and enforce standards for Infrastructure as Code using Terraform or Bicep ensuring 100% automated provisioning across all environments.
Java Performance Engineering: Partner with Backend squads to optimize JVM performance garbage collection tuning and memory management for high-concurrency insurance processing.

Reliability & AI Operations (AIOps)

Error Budgeting: Define negotiate and manage SLIs SLOs and SLAs with Product Stakeholders balancing the velocity of AI feature releases with system stability.
Advanced Observability: Architect end-to-end monitoring and distributed tracing using Azure Monitor Application Insights and ELK/Grafana.
Incident Commander: Act as the ultimate escalation point for high-priority incidents leading complex Root Cause Analysis (RCA) and driving long-term remediation tasks.

Security & Industry Compliance

Data Sovereignty: Ensure the platform adheres to insurance-specific data residency requirements and security frameworks (SOC2 HIPAA or ISO 27001).
Automated Governance: Implement Azure Policy and automated security scanning within CI/CD pipelines to ensure a Secure by Design infrastructure.

Qualifications :

Technical Leadership:

7 years in SRE DevOps or Cloud Engineering with at least 2 years in a Lead or Principal capacity.
Azure Mastery: Expert-level knowledge of the Azure Well-Architected Framework specifically around networking (VNet/ExpressRoute) and Compute.
Java Ecosystem: Deep proficiency in the Java/Spring Boot stack from an operational perspective (JVM profiling thread dump analysis).
Container Orchestration: Mastery of Kubernetes (AKS) including ingress controllers service mesh (Istio) and cluster security.

Professional Competencies:

Strategic Mindset: Ability to translate technical debt and reliability risks into a data-driven business case for leadership.
Automation Advocate: Proven track record of eliminating Toil through Python Go or Java-based automation tooling.
Mentorship: Passion for leveling up the engineering organization through workshops documentation and pair programming.
AI-First Integration: Experience leveraging AI for predictive scaling and automated log summarization to reduce Mean Time to Recovery (MTTR).

Additional Information :

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.

Remote Work :

Employment Type :

Full-time

Key Skills

Apply Now

About Company

KMS Technology

KMS Technology was established in 2009 as a U.S.-based software services company. With development centers in Vietnam and Mexico, we have been trusted globally for the superlative quality of our software consulting & development services, technology solutions, and engineers' expertise ... View more

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