{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/reliability-testing"},"x-facet":{"type":"skill","slug":"reliability-testing","display":"Reliability Testing","count":3},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_18b6c565-7bb"},"title":"Sr. Software Development Engineer in Test","description":"<p>About Dialpad ---------------- Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.</p>\n<p>More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights.</p>\n<p>We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyse conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do.</p>\n<p>Visit dialpad.com to learn more.</p>\n<p>Being a Dialer --------------- AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.</p>\n<p>We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.</p>\n<p>We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level.</p>\n<p>We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.</p>\n<p>Your role -------- As a Sr. SDET in Agentic QA, you will own the test automation and quality frameworks that support Dialpad’s AI Voice Agent services.</p>\n<p>You will develop automated tests for end-to-end product experiences, from frontend UI to backend services to APIs to audio/text interactions.</p>\n<p>You will test orchestration flows, agent configuration experiences, and guardian safeguards to create robust automated coverage for functionality, performance, reliability, UX, and more.</p>\n<p>In this role, you will develop substantial amounts of automated test infrastructure and partner deeply with the development team to make our fast-growing AI platform more testable, more stable, and more delightful for customers.</p>\n<p>This position is based at one of Dialpad’s Canadian offices and reports to a QA Eng Manager in the United States.</p>\n<p>What you’ll do ------------</p>\n<ul>\n<li>Own end-to-end quality for agentic features and workflows, including strategy, development, execution, and release qualification.</li>\n<li>Design and build automation tooling and frameworks for AI/LLM-driven systems, including prompt flows, agent orchestration, and tool integrations.</li>\n<li>Develop and maintain evaluation frameworks (evals) to measure response quality, accuracy, and hallucination rates.</li>\n<li>Drive automation coverage (80%+ for critical AI workflows) using deterministic + probabilistic validation approaches.</li>\n<li>Integrate AI quality checks into CI/CD pipelines with fast feedback cycles (</li>\n<li>Build tooling for LLM observability and debugging, including prompt tracing and response analysis.</li>\n<li>Partner with Applied AI teams on prompt engineering, model selection, and evaluation strategies.</li>\n<li>Design and execute performance and load tests for AI services (latency, throughput, cost efficiency).</li>\n<li>Identify and mitigate risks related to hallucinations, bias, safety, and edge cases.</li>\n<li>Define and track AI quality KPIs (task success rates, precision/recall, latency, etc.).</li>\n<li>Participate in design and architecture reviews to ensure systems are testable, observable, and resilient.</li>\n<li>Mentor engineers and contribute to raising the bar on AI quality engineering practices.</li>\n</ul>\n<p>What you’ll bring --------------</p>\n<ul>\n<li>5+ years of experience in software engineering or SDET roles with an emphasis on software development.</li>\n<li>Strong programming skills in Python (preferred), Java, or JavaScript.</li>\n<li>Experience testing distributed, cloud-native SaaS systems and APIs.</li>\n<li>Demonstrated proficiency in coding with AI agents to accelerate development and improve code quality.</li>\n<li>Hands-on exposure to LLMs or AI/ML systems (e.g., OpenAI, Claude, Gemini, or similar platforms).</li>\n<li>Understanding of non-deterministic systems and probabilistic testing approaches.</li>\n<li>Experience building test frameworks and scalable automation systems.</li>\n<li>Familiarity with AI evaluation techniques (benchmarking, golden datasets, human-in-the-loop validation).</li>\n<li>Experience with CI/CD pipelines (e.g., Jenkins, GitHub Actions).</li>\n<li>Strong collaboration skills with the ability to work across distributed teams and time zones.</li>\n<li>Bachelor’s degree in Computer Science or equivalent practical experience.</li>\n</ul>\n<p>Backend: Python, Go, Google Cloud Platform, Cloud Run / App Engine, Kubernetes, Datastore, Redis, ElasticSearch.</p>\n<ul>\n<li>Frontend: Vue3, React.</li>\n<li>AI Stack: LLM APIs, LiveKit, prompt orchestration frameworks, evaluation tooling.</li>\n</ul>\n<p>For exceptional talent based in British Columbia, Canada the target base salary range for this position is $150,500-$175,250 CAD.</p>\n<p>Why Join Dialpad ---------------</p>\n<ul>\n<li>Work at the center of the AI transformation in business communications.</li>\n<li>Build and ship agentic AI products that are redefining how companies operate.</li>\n<li>Join a team where AI amplifies every employee’s impact.</li>\n<li>Competitive salary, comprehensive benefits, and real opportunities for growth.</li>\n</ul>\n<p>We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential.</p>\n<p>We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection.</p>\n<p>Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.</p>\n<p>Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply.</p>\n<p>Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_18b6c565-7bb","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Dialpad","sameAs":"https://dialpad.com","logo":"https://logos.yubhub.co/dialpad.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/dialpad/jobs/8475155002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$150,500-$175,250 CAD","x-skills-required":["Python","Java","JavaScript","Test automation","Quality frameworks","Agentic AI","Voice Agent services","Orchestration flows","Agent configuration experiences","Guardian safeguards","Functional testing","Performance testing","Reliability testing","UX testing","Cloud-native SaaS systems","APIs","LLMs","AI/ML systems","Non-deterministic systems","Probabilistic testing","Test frameworks","Scalable automation systems","CI/CD pipelines","Jenkins","GitHub Actions","Collaboration","Distributed teams","Time zones","Computer Science","Google Cloud Platform","Cloud Run","App Engine","Kubernetes","Datastore","Redis","ElasticSearch","Vue3","React","LLM APIs","LiveKit","Prompt orchestration frameworks","Evaluation tooling"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:49:44.303Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Vancouver, Canada"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Java, JavaScript, Test automation, Quality frameworks, Agentic AI, Voice Agent services, Orchestration flows, Agent configuration experiences, Guardian safeguards, Functional testing, Performance testing, Reliability testing, UX testing, Cloud-native SaaS systems, APIs, LLMs, AI/ML systems, Non-deterministic systems, Probabilistic testing, Test frameworks, Scalable automation systems, CI/CD pipelines, Jenkins, GitHub Actions, Collaboration, Distributed teams, Time zones, Computer Science, Google Cloud Platform, Cloud Run, App Engine, Kubernetes, Datastore, Redis, ElasticSearch, Vue3, React, LLM APIs, LiveKit, Prompt orchestration frameworks, Evaluation tooling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":150500,"maxValue":175250,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0e39aebe-3ad"},"title":"Network Engineer - ML Infrastructure (High-Speed Interconnects)","description":"<p>We are seeking exceptional ML Infrastructure Engineers with deep expertise in high-speed interconnect technologies to design, build, and optimise the network fabric that powers large-scale AI training and inference clusters.</p>\n<p>This strategic role will drive innovation in high-bandwidth, low-latency, power-efficient interconnects critical for AI/ML clusters based on advanced computing platforms. 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