Job Opportunities API

Why join us? We're a global tech company, just not the kind you're picturing. Our almost 1,000-person team builds tools that make work better for the three billion frontline workers who keep the world moving. We've got big tech scale, without the sign-off layers or corporate theatre. Every permanent team member gets equity, so when we grow, you do too. This next chapter is about scaling smart, powered by AI, a clear vision and real ownership. Big tech impact, without the big tech ick. The Role At SafetyCulture, we help businesses get better every day by giving front-line teams tools to capture issues, learn, and act — across web, mobile, and an evolving ecosystem of sensors, integrations, and AI-powered capabilities. Quality Engineering is central to that mission. Our Quality Engineers enable teams to ship high-quality software fast and with confidence, by embedding quality into every phase of delivery and using automation and AI to make quality scalable across our platform. As a Senior Quality Engineer, you are an enabler and multiplier for product and engineering teams: - You help teams own the quality of their deliverables (self-serve quality) while ensuring we maintain a consistently high bar across the platform. - You use data, automation, and AI tooling to surface risks, reduce toil, and improve the reliability and performance of our products. - You work across the lifecycle — from discovery and design to deployment and production — to make sure quality is designed in, not tested on at the end. You’ll be part of the central Quality Engineering team working across our engineering groups, collaborating with engineers, product managers, designers, and data/AI specialists. WHAT YOU'LL DO Enable groups to own and improve quality - Partner with product and engineering to understand our current quality practices and maturity and co-create an improvement roadmap grounded in data. - Help define our quality strategy that align with industry best-practice, business goals, and quality goals and priorities. - Help identify gaps, risks, and opportunities for improvement in our approach to quality. Embed quality early in the lifecycle - Contribute to test strategies and plans that cover unit, integration, API, UI/e2e tests, observability, and production validation. - Help design and maintain automated tests (API, integration, and critical end-to-end flows) that run in CI/CD and provide fast, reliable feedback. - Work with engineers teams to improve test reliability ensuring pipelines are trustworthy and fast. - Experiment with and adopt AI-enabled tools (e.g. for test generation, coverage analysis, bug triage, anomaly detection) where they demonstrably improve quality and efficiency. - Build reusable frameworks, dashboards, templates, and AI agents that make quality increasingly self-serve for product teams. Drive automation, AI usage, and tooling - Proactively identify QE activities that should disappear into automation or agents over time, and track the reduction of manual effort as a measure of impact. Make quality visible through metrics and feedback - Define and evolve quality metrics (e.g. CPRs, bug age and backlog, incident trends, crash rates, performance indicators) and connect them to team goals. - Build or extend dashboards and automated reports that provide timely, continuous feedback on product health to groups and stakeholders (e.g. Slack updates, Grafana dashboards, scorecards). - Use metrics and customer feedback to prioritise quality work (CPRs, bugs, tech debt, incident improvement actions) and drive remediation in the most impacted areas. - Ensure quality signals are consumable directly by engineering teams and leaders, enabling action without requiring QE interpretation or intervention in most cases. Support building and testing at scale - Help define and validate performance limits and SLOs and ensure quality checks are integrated into delivery workflows. -