Gerente de Ingeniería de Rendimiento

MetLife; Ciudad de México; Presencial; MXN 1.200.000 - 2.100.000; Jornada completa

Descripción de la vacante

MetLife in Mexico is seeking a Performance Engineering Manager to define and drive the performance engineering practice across critical applications, APIs, and enterprise platforms. The role acts as a Tech Lead with accountability for quality, stability, security, and operational excellence.

You will collaborate with Development, Architecture, DevSecOps, and Global teams, champion AI-driven testing, and promote data-driven decisions while raising engineering standards and developer productivity.

Formación

• Bachelor's degree in computer science or related field.
• Experience in insurance/enterprise apps with high availability.
• Strong English proficiency.

Responsabilidades

• Define and govern the performance engineering strategy across critical apps and APIs.
• Lead performance testing: load, stress, endurance, and capacity.
• Act as Tech Lead ensuring security, reliability, and scalable design.
• Integrate validations into CI/CD pipelines and DevOps workflows.
• Drive AI-enabled testing, anomaly detection, and data-driven decisions.

Conocimientos

Performance testing

Technical leadership

DevOps practices

Observability

AI / ML for testing

Cloud platforms

Educación

Bachelor's degree in Computer Science or related

Herramientas

JMeter

GitHub Copilot Enterprise

Azure DevOps

Grafana/Prometheus

Jenkins

Descripción del empleo

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 Enterprise, Claude Code, Azure AI, k6, BlazeMeter MCP, JMeter + Agents, Test Flows Performance, and other approved capabilities to accelerate analysis, documentation, scripting, and reporting while maintaining human oversight, security, and governance.
• Evaluate tools, frameworks, and accelerators for performance testing, observability, monitoring, log analysis, data generation, and intelligent automation.
• Ensure compliance with policies, processes, risk controls, security, privacy, quality standards, and responsible AI usage guidelines.
• Develop technical talent, foster communities of practice, and advance team maturity toward a predictive, automated, and data-driven performance engineering model.
• Identify operational efficiency opportunities through automation, asset reuse, script standardization, scenario catalogs, productivity metrics, and continuous learning enabled by AI.

Requirements & Qualifications

• Bachelor's degree in computer science, Information Technology, Systems Engineering, or a related field.
• Experience within the insurance industry, financial services, or enterprise environments with critical, high-availability applications.
• 6+ years of experience in Performance Engineering, Performance Testing, Quality Engineering, DevOps, SRE, or similar disciplines.
• Experience leading technical teams, vendors, specialized capabilities, and engineering practices within matrix organizations.
• Advanced English proficiency.
• Strong knowledge of load testing, stress testing, volume testing, endurance testing, capacity planning, scalability testing, resiliency testing, and bottleneck analysis.
• Experience with performance testing and monitoring tools such as JMeter, LoadRunner, NeoLoad, k6, Gatling, BlazeMeter, Dynatrace, Splunk, AppDynamics, Grafana, Prometheus, or equivalent platforms.
• Experience integrating performance validations into DevOps pipelines and tools such as Azure DevOps, GitHub, GitHub Enterprise, GitHub Copilot Enterprise, Claude Code, GitHub Actions, GitHub Pages, GitLab, Jenkins, Bamboo, or equivalent solutions. Practical knowledge of GitHub Copilot Enterprise and Claude Code is highly desirable.
• Knowledge of observability, log analytics, metrics, tracing, alerting, SLOs, SLAs, and operational reliability practices aligned with applicable ISO/IEC standards.
• Experience applying Artificial Intelligence or advanced analytics to accelerate analysis, script generation, documentation, anomaly detection, risk prioritization, or executive reporting.
• Knowledge of APIs, microservices, monolithic architecture, cloud platforms, databases, middleware, systems integration, and scalability patterns.
• Ability to translate technical performance results into clear and actionable recommendations for business stakeholders, development teams, architecture teams, and leadership.
• Certification or demonstrated experience in ISTQB, SAFe, Scrum, DevOps, SRE, Cloud, Performance Testing, Observability, AI Fundamentals, ISO/IEC standards, GitHub Copilot Enterprise, or Claude Code is preferred.
• Strong quantitative skills, data analysis capabilities, problem-solving abilities, executive communication skills, and results orientation.
• Engineering and productivity mindset with the ability to operate efficiently, measure impact, prioritize value, automate processes, and continuously elevate delivery standards.

Specific Requirements For Internal Employees

• Must have completed at least 12 months in your current position.
• Must have a satisfactory performance evaluation rating.
• Your manager must be informed before you apply.
  • A confirmation email will be required.
• We recommend not participating in two or more recruitment processes simultaneously.

Interpersonal Profile

• Collaborative leadership to align priorities across Development, Architecture, Operations, Quality Engineering, DevSecOps, vendors, and global teams.
• AI First mindset focused on safe experimentation, validation of results, and leveraging AI as a true accelerator for productivity and quality.
• Ability to influence without direct authority, communicate technical risks to executive audiences, and facilitate data-driven decisions.
• Strong accountability, sense of urgency, and focus on operational stability, customer experience, and business value.
• Critical thinking, resilience, continuous learning, and the ability to thrive in high-demand environments.
• Strong interpersonal, conflict resolution, negotiation, and change management skills.
• Discipline to standardize processes, measure outcomes, document lessons learned and drive continuous improvement.
• Exceptional attention to detail and the ability to balance speed, quality, risk, security, and cost.
• Passion for building communities, developing talent, and contributing to an engaging environment where people can learn, have a voice, and be part of the IT Mexico family.

At MetLife, we are committed to fostering diversity and inclusion through a workplace free from discrimination based on race, gender identity or expression, sexual orientation, religion, age, nationality, marital status, disability, physical condition, or economic status. HIV and pregnancy testing are not required as a condition of employment, continued employment, or promotion. We are committed to providing equal employment opportunities for all.

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