Staff Software Engineer, Testing Infrastructure

Mattermost is the leading collaborative workflow platform for defense, intelligence, security, and critical infrastructure. They are seeking a Staff Software Design Engineer in Testing Infrastructure to lead a transformation of test automation and quality engineering, defining the technical vision and architecture for test infrastructure and frameworks. The role involves collaboration with engineering leadership to ensure high-quality, reliable software delivery through intelligent testing systems and AI-driven solutions.

Responsibilities:

• Lead a company-wide transformation of test automation and quality engineering strategy, working directly with Mattermost’s founders and engineering leadership
• Define and own the vision and roadmap for Mattermost’s testing and quality engineering infrastructure — from establishing strong observability and meaningful test signals, through making quality the path of least resistance, to an AI-first future where machines generate, maintain, and verify tests
• Architect scalable, intelligent testing frameworks and infrastructure spanning server, web, mobile, and desktop — progressively shifting testing from manual authorship toward machine-driven generation, maintenance, and analysis
• Lead the integration of AI/LLM technologies into testing strategy—from test generation and autonomous flakiness management to coverage gap detection, and beyond as the technology evolves
• Partner with engineering leadership to align testing strategies with product and platform roadmaps
• Establish and enforce testing standards, quality metrics, and quality gates across the SDLC — automated in CI/CD so quality is the path of least resistance
• Build visibility and trust in quality signals through unified observability — dashboards, metrics, and alerting that provide actionable insight into product reliability and drive accountability
• Design systems, tooling, and processes that empower developers to easily create, run, and maintain high-quality automated tests
• Influence and mentor engineers to adopt shift-left testing, testability-focused design, and quality-first development practices
• Drive continuous improvement by researching, evaluating, and championing emerging testing methodologies and technologies

Requirements:

• BS in Computer Science, Software Engineering, or related field with 8+ years of experience in software testing, quality engineering, or test infrastructure development
• Proven track record of defining and executing quality engineering strategy or leading test infrastructure initiatives for complex, full-stack systems
• Strong programming background in TypeScript, React, React Native, Go, and PostgreSQL
• Deep understanding of CI/CD pipelines, distributed systems, and cloud-based test environments
• Experience designing or architecting testing frameworks and developer tools that scale across large engineering organizations
• Strong expertise in end-to-end testing frameworks (e.g., Playwright, Cypress, Detox) and best practices in automation architecture
• Experience with API testing, performance testing, and security testing methodologies
• Knowledge of containerization technologies (Docker, Kubernetes) and their application to automated testing
• Strong conviction that AI will fundamentally transform software testing, and the drive to lead that transformation — staying current with emerging AI capabilities and proactively identifying where they can accelerate quality
• Excellent communication skills with the ability to translate complex testing strategy for audiences from individual engineers to executive leadership
• Experience mentoring engineers and leading quality-focused technical initiatives across multiple teams
• Experience applying AI/ML technologies to software testing — test generation and intelligent test analysis
• Contributions to open-source projects
• Knowledge of accessibility testing and inclusive design principles
• Has worked fully remotely with global teams
• Expertise in defense, intelligence, or security-focused workflows and the reliability standards these environments demand