Gerente de Ingeniería de Rendimiento

We are globally recognized experts and leaders in the insurance industry. With more than 150 years of experience, we deliver the best in life insurance, annuities, and employee benefits programs to over 90 million customers across 50 countries worldwide. In Mexico, we are the #1 people insurer, protecting more than 10 million policyholders.

We are looking for a Performance Engineering Manager.

Role Purpose

Responsible for defining, evolving, and governing the Performance Engineering practice under an AI First approach, ensuring technology solutions are resilient, scalable, observable, secure, and capable of meeting business needs with high levels of quality, productivity, and operational efficiency.

This role will act as a Tech Lead within the organization, with a high degree of accountability for technical quality, platform stability, security, reliability, and continuous improvement across systems within its sphere of influence. The successful candidate will foster a culture of ownership, urgency, and engineering excellence.

The leader will be responsible for establishing the performance strategy from the earliest stages of the software development lifecycle, incorporating load, stress, volume, stability, and capacity testing, as well as monitoring, bottleneck analysis, and data-driven technical recommendations. The role will also champion the responsible use of Artificial Intelligence to accelerate scenario design, script generation, result analysis, anomaly detection, and engineering decision-making.

This position will collaborate closely with Development, Architecture, DevSecOps, Operations, Quality Engineering, and Global teams to strengthen performance engineering practices, integrate them into DevOps pipelines, increase developer productivity, and provide executive dashboards with clear, traceable, and actionable metrics.

We Are Looking For Individuals Who

• Build tomorrow by driving change and innovation to achieve sustainable performance, embracing opportunities, experimenting safely, and acting with urgency.
• Win together by collaborating effectively, leveraging diverse perspectives, fostering inclusion, and creating alignment to achieve shared success.
• Think AI by identifying opportunities to use Artificial Intelligence responsibly and pragmatically before relying on low-value manual processes.
• Demonstrate strong technical expertise, sound engineering judgement, critical thinking, the ability to constructively challenge the status quo, and solve complex problems.
• Are resilient and high-performing, maintaining focus, energy, and execution quality in dynamic technology transformation environments.
• Continuously raise the bar, striving to deliver better, faster, and more cost-effective solutions without compromising quality, security, or customer experience.

Key Responsibilities

• Define and govern the Performance Engineering strategy for critical applications, digital products, APIs, integrations, and enterprise platforms.
• Lead the planning, execution, and continuous evolution of performance testing, including load, stress, volume, endurance, scalability, capacity, stability, and resiliency testing.
• Act as a Tech Lead within the development organization, modeling accountability, ownership, execution discipline, urgency, and high technical standards.
• Raise engineering standards by ensuring technical decisions incorporate security, privacy, reliability, maintainability, scalability, observability, resiliency, and efficiency by design.
• Establish standards, methodologies, templates, and entry/exit criteria for performance testing within Agile, SAFe, and DevOps frameworks.
• Implement a shift-left approach to integrate performance validations throughout design, architecture, story refinement, development, and CI/CD pipelines.
• Promote Developer Productivity practices that simplify processes, reduce waste, accelerate delivery cycles, improve developer experience, and increase measurable team productivity.
• Foster an engineering-driven culture where decisions are based on data, automation, metrics, continuous learning, and business outcomes.
• Encourage a Build over Buy mindset by evaluating opportunities to develop strategic internal capabilities when they drive speed, differentiation, organizational learning, or cost efficiency.
• Drive initiatives focused on Better, Faster, Cheaper outcomes: better solutions, faster delivery, and more efficient operations while maintaining high standards of security, quality, and risk management.
• Promote the use of AI to generate test scenarios, identify risk patterns, prioritize testing efforts, support script creation, analyze results, and detect performance anomalies.
• Champion the responsible use of AI tools such as GitHub Copilot Enter