Senior Platform Engineer, Quality Platform

Role overview

This Senior Platform Engineer role centers on building the shared testing infrastructure, frameworks, and AI-assisted tooling that engineering teams across the organization rely on to ship quickly and confidently. Rather than owning testing for a single product area, the engineer will shape the platform, developer experience, and automation that make high-quality software the default for industrial and frontline operations software.

Responsibilities

- Build and evolve a shared quality platform, test automation frameworks, and developer tooling used across the engineering organization. - Design and develop AI-assisted test authoring infrastructure that reduces test creation time while preserving quality. - Own CI integration standards and improve build reliability across multiple engineering teams. - Design test harnesses for AI-powered product capabilities, including health checks, graceful degradation, quota monitoring, and adversarial testing. - Identify and eliminate systemic test debt and flaky tests before they spread across teams. - Build shared testing utilities and frameworks adopted organization-wide. - Partner with product engineering teams, embedded quality advocates, and SRE to continuously improve testing strategy and platform reliability. - Evaluate emerging AI testing tools and drive adoption where they produce measurable engineering impact.

Requirements

- Strong software engineering fundamentals with experience writing, debugging, and maintaining production application code. - Hands-on experience building and maintaining production-grade test automation frameworks using Playwright, Selenium, or similar technologies. - Experience integrating automated testing into CI/CD pipelines and diagnosing flaky or failing test suites. - Experience building or maintaining shared developer tooling, testing infrastructure, or engineering platforms; comfort with cloud infrastructure such as AWS, containerized environments, and observability tooling such as Datadog is a plus. - Experience using AI development tools such as Claude Code, GitHub Copilot, Cursor, or similar to accelerate engineering workflows while applying sound engineering judgment. - Comfort owning systems end-to-end, from architecture and implementation through production support. - Experience mentoring engineers and helping raise engineering quality across teams. - Strong spoken and written English, with the ability to collaborate daily across multiple teams and present technical priorities to executive stakeholders.

Nice to have

- Experience building test harnesses for AI-powered features, including health checks, circuit-breakers, adversarial testing, or resilience testing. - Experience building or maintaining autonomous or agentic AI systems. - Experience evaluating AI-powered developer tools and integrating them into engineering workflows. - Experience building observability and quality metrics into testing platforms. - Experience working with large-scale developer platforms supporting multiple engineering teams.

Benefits and work setup

- Compensation may include base pay plus commission, annual bonus, and equity, with benefits varying by country. - Belonging-focused culture with attention to diversity, inclusion, and accessibility in hiring and performance processes.