Introduction: Are you searching for an opportunity to play a key role in driving the dramatic growth of a highly successful software company? At Poppulo, we’re working on what’s next in communications and workplace technology. As a pioneer in this industry, we understand that meaningfully reaching every employee is hard. And so is managing office space in a hybrid world. And so is improving the customer and guest experience. We exist to make each of these things easier. We exist to bring harmony to our customers.  And we do that at enterprise scale. Our omnichannel employee communications, customer communications, and workplace experience platform is trusted by over 6,000 organizations today, reaching more than 35M employees and delivering content to 500,000+ digital signs. We know there’s no such thing as a “perfect" candidate - we’re all a work in progress and are growing new skills and capabilities all the time. We encourage you to apply for a position with Poppulo even if you don’t meet 100% of the requirements. We believe in fostering an environment where there is a diversity of perspectives, in hopes that we can all thrive. Job Summary You will join a cross-functional team building our Next-Generation of digital signage tooling from a world class CMS that integrates design and event systems, through a multitude of signage presentation platforms, into high volume reporting, and analytics systems. We work in an agile, DevOps-oriented environment with an emphasis on quality engineering, sustainable delivery, and continuous improvement. You’ll help ensure our systems are reliable, observable, secure, and capable of handling data at large scale. This role will help DS strengthen today’s quality engineering foundation while evolving toward a more automated, telemetry-driven, and AI-enabled delivery model. We do not expect every future capability to exist on day one; we are looking for someone who can improve the current system while helping define and pilot the next generation of quality practices. You will collaborate with Product, UX, Engineering, and DevOps to deliver high-quality features in an agile, flow-oriented delivery environment using Jira, GitLab pipelines, and AWS SaaS architecture. The Person You are a team player who cares about the customer and business outcomes. You enjoy working closely with teammates to build relationships while finding and fixing important problems. You often experiment with the latest technology and methods to logically and efficiently improve process. You prioritize prevention of risk over late detection of defects, and you are comfortable coaching teammates, improving quality practices, and helping teams build quality into the platform from the start. You are also comfortable operating in a transition state: strong in today’s quality engineering practices, while curious and pragmatic about how AI, automation, and telemetry will change quality over the next several years. Key Responsibilities - Validate quality across signage components such as content repository, design, scheduling, integration, deployment, player performance, reporting and analytics. - Troubleshoot in AWS including CloudWatch, DynamoDB, MySQL, IoT Core, S3, and CloudFront to find problem sources and contribute to resolutions. - Flag testing, risk, and observability considerations early in design and planning including writing lightweight test strategy and plans. - Ensure effective automation at the appropriate layers (API/service, data validation, and UI as needed). - Explore and responsibly introduce AI-assisted quality practices where they create measurable improvements in speed, coverage, reliability, or insight, while preserving human judgment and appropriate review gates. - Champion a whole-team quality approach. - Contribute to non-functional testing (performance, scalability, resilience, security). - Facilitate collaborative quality activities (exploratory testing, risk workshops, bug bashes). - Help define and mature automated quality gates, regression suites, and evaluation-style checks that can support both today’s delivery process and future AI-assisted development workflows. - Partner with Product, UX, and Engineering to translate product intent into clear, testable acceptance criteria and risk-based test strategies. - Use production telemetry, customer workflow data, observability signals, and CI/CD feedback to prioritize testing and identify quality risks earlier. - Partner with Engineering and Product as we pilot AI-assisted delivery workflows, helping assess where AI can safely support test generation, defect triage, documentation, MR review, and delivery reporting. Technical Skills / Experience - 7+ years in Software Testing/Quality Engineering. - Hands-on experience validating complex SaaS platforms, distributed systems, APIs, data workflows, and user-facing product experiences. - Experience with AWS services (e.g., CloudWatch, DynamoDB, MySQL, IoT Core, S3, and CloudFront). - Experience with GitLab (or equivalent CI/CD platform) for automated testing and delivery. - Strong understanding of distributed systems, event-driven architectures, and API/service testing. - Proficient in at least one programming language (preferably in Java and TypeScript). - Experience building or contributing to automated testing frameworks (API/service and data validation). - Automation experience with Playwright for API and UI testing; familiarity with Selenium-based frameworks is helpful. - Experience with load/performance testing. - Strong grounding in agile, DevOps, and CI/CD practices. - Experience establishing a whole-team quality strategy and coaching teammates. - Ability to build a strong understanding of customer workflows and use production telemetry to guide testing. - Practical experience using AI-assisted development or testing tools such as Claude, GitHub Copilot, Cursor, CodeRabbit, GitLab Duo, or equivalent. - Ability to review AI-generated tests, code, documentation, or analysis for correctness, maintainability, security, and fit to customer intent. - Experience collaborating across distributed teams, using clear written context, async-friendly documentation, and structured handoffs to maintain quality across time zones. Nice to Have - Experience with observability tools (CloudWatch, X-Ray, Prometheus/Grafana, OpenTelemetry). - Familiarity with testing containerised workloads (ECS/EKS), serverless patterns, or IaC (CloudFormation/Terraform). - Experience with analytics and visualisation tools such as Power BI, Looker, or Tableau\. - Experience with test data generation techniques and tools, including synthetic data creation, data masking. - Experience driving quality improvements at a team level. - Community involvement (Meetups/Conferences, blogs, Open-Source contributions). - Experience using AI/GenAI tools for synthetic test data generation, test design, log analysis, defect triage, documentation, or automation support.