QA Performance Team Lead

At MTech Systems, our company mission is to increase yield in protein production to help feed the growing world population without compromising animal welfare or damaging the planet. We aim to create software that delivers real-time data to the entire supply chain that allows producers to get better insight into what is happening on their farms and what they can do to responsibly improve production.

MTech Systems is a prominent provider of tools for managing performance in Live Animal Protein Production. For over 30 years, MTech Systems has provided cutting-edge enterprise data solutions for all aspects of the live poultry operations cycle. We provide our customers with solutions in Business Intelligence, Live Production Accounting, Production Planning, and Remote Data Management—all through an integrated system. Our applications can currently be found running businesses on six continents in over 50 countries. MTech has built an international reputation for equipping our customers with the power to utilize comprehensive data to maximize profitability.

With over 250 employees globally, MTech Systems currently has main offices in Mexico, United States, and Brazil, with additional resources in key markets around the world. MTech Systems USA’s headquarters is based in Atlanta, Georgia and has approximately 90 team members in a casual, collaborative environment. Our work culture here is based on a commitment to helping our clients feed the world, resulting in a flexible and rewarding atmosphere. We are committed to maintaining a work culture that enhances collaboration, provides robust development tools, offers training programs, and allows for direct access to senior and executive management.

Job Summary

The QA Performance Team Lead is a senior, hands-on technical leadership role responsible for defining, scaling, and governing performance engineering capabilities across enterprise applications. This role owns the performance engineering vision, ensuring performance validation evolves from targeted testing into a scalable, insight-driven capability. The QA Performance Team Lead sets direction for workload modeling, performance testing practices, CI/CD performance validation, and team development, partnering closely with Engineering, Architecture, DevOps, and Product to ensure performance risks are clearly identified and managed as part of delivery readiness.

Responsibilities and Duties

Performance Strategy & Capability Growth

Define and evolve the performance engineering strategy aligned with business and technical goals.
Establish standards, best practices, and governance for performance testing and reporting.
Drive the maturity of performance testing from targeted validations to repeatable, scalable practices.
Define success metrics and KPIs for performance readiness.
Define how AI-assisted analysis is incorporated into performance engineering practices to improve insight, scalability, and decision-making.

Tooling Evaluation and Enablement

Evaluate, recommend, and enable performance testing tools based on system architecture, scale, and CI/CD maturity.
Define criteria for tool selection, including scalability, maintainability, integrations, and reporting.
Lead adoption, configuration, and ongoing optimization of selected tools.

Performance Test Design & Execution

Define realistic workload models, usage patterns, and acceptance thresholds.
Design and oversee performance, load, stress, endurance, and scalability tests.
Ensure performance testing reflects real-world and peak usage scenarios.
Review and validate test results and conclusions before stakeholder communication.

CI/CD Integration & Release Readiness

Integrate performance testing into CI/CD pipelines in collaboration with DevOps.
Define performance validation checkpoints to support release readiness and go/no-go decisions.
Ensure performance findings are clearly communicated and tracked to resolution.

Analysis, Reporting & Engineering Partnership

Lead analysis of performance results and correlation with application, database, and infrastructure metrics.
Translate findings into clear risk statements and prioritized recommendations.
Partner with Engineering and Architecture on performance improvements and root cause analysis.
Ensure AI-assisted performance insights are translated into clear risk statements and actionable recommendations.

Team Leadership & Scaling

Hire, onboard, and mentor Performance Engineers as the team grows throughout the year.
Define role expectations, development plans, and technical standards for the team.
Coordinate collaboration across US and Mexico resources, ensuring consistent practices and alignment.

Continuous Improvement & Innovation

Evolve performance practices based on lessons learned, system changes, and scale.
Improve repeatability, reliability, and efficiency of performance testing activities.
Contribute to documentation, playbooks, and shared knowledge.

Education and Experience

Bachelor’s degree in Computer Science, Engineering, or related field.
7+ years of experience in performance testing or performance engineering.
Proven experience leading or owning performance initiatives across complex systems.
Hands-on experience with performance testing tools such as Azure Load Testing, JMeter, LoadRunner, k6, or similar tools.
Strong experience designing workload models and executing load, stress, endurance, and scalability testing.
Strong analytical skills for interpreting results and identifying root causes.
Experience working in CI/CD environments and collaborating with DevOps teams.
Familiarity with cloud-based and distributed systems.
Experience mentoring or leading engineers in a technical capacity.
Experience working with distributed or cross-location teams.

Qualifications And Skills

Strong technical leadership with a hands-on mindset.
Ability to build structure and clarity in growing or evolving environments.
Clear, data-driven communication of risks and recommendations.
High ownership and accountability for performance outcomes.
Strong collaboration across QA, Engineering, Architecture, DevOps, and Product.
Comfortable influencing release decisions with data and analysis.

EEO Statement

Integrated into our shared values is MTech’s commitment to diversity and equal employment opportunity. All qualified applicants will receive consideration for employment without regard to sex, age, race, color, creed, religion, national origin, disability, sexual orientation, gender

identity, veteran status, military service, genetic information, or any other characteristic or conduct protected by law. MTech aims to maintain a global inclusive workplace where every person is regarded fairly, appreciated for their uniqueness, advanced according to their accomplishments, and encouraged to fulfill their highest potential. We believe in understanding and respecting differences among all people. Every individual at MTech has an ongoing responsibility to respect and support a globally diverse environment.
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