Sr. SDET

Dialpad; Kitchener; On-site; CAD 135,500 - 158,000; Full time

Benefits offered by this job

Bonus

Equity

Comprehensive benefits package

Job summary

A leading AI communications platform is seeking a Sr. SDET to own the test automation and quality frameworks for their AI Voice Agent services. The candidate will develop automated tests across the product experience, ensuring stability and quality. Responsibilities include designing automation frameworks, maintaining evaluation metrics, and driving automation coverage. Ideal candidates should have 5+ years of experience, expertise in cloud-native systems, and familiarity with AI technologies. The role is based in Kitchener, Ontario, with a compensation range of $135,500 to $158,000 CAD.

Qualifications

• 5+ years of experience in software engineering or SDET roles.
• Experience testing distributed, cloud-native SaaS systems and APIs.
• Hands-on exposure to LLMs or AI/ML systems.

Responsibilities

• Own end-to-end quality for agentic features and workflows.
• Design and build automation tooling for AI systems.
• Mentor engineers on AI quality engineering practices.

Skills

Software engineering

Test automation

Collaboration skills

AI/ML systems understanding

Education

Bachelor's degree in Computer Science

Tools

CI/CD pipelines (e.g., Jenkins, GitHub Actions)

Frontend frameworks (Vue3, React)

Job description

About Dialpad

Dialpad is the leading AI‑powered customer communications platform, transforming how businesses communicate with their customers. Over 50,000 companies around the globe, including Netflix, RE/MAX, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real‑time, AI‑driven insights.

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. You will develop automated tests for end‑to‑end product experiences—from frontend UI to backend services, APIs, and audio/text interactions. You will test orchestration flows, agent configuration experiences, and guardian safeguards to create robust automated coverage for functionality, performance, reliability, UX, and more. 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, stable, and delightful for customers. This position is based in a Canadian office and reports to a QA Eng Manager in the United States.

What you’ll do

• Own end‑to‑end quality for agentic features and workflows, including strategy, development, execution, and release qualification.
• Design and build automation tooling and frameworks for AI/LLM‑driven systems, including prompt flows, agent orchestration, and tool integrations.
• Develop and maintain evaluation frameworks (evals) to measure response quality, accuracy, and hallucination rates.
• Drive automation coverage (80%+ for critical AI workflows) using deterministic + probabilistic validation approaches.
• Integrate AI quality checks into CI/CD pipelines with fast feedback cycles (≤15 min for PR validation).
• Build tooling for LLM observability and debugging, including prompt tracing and response analysis.
• Partner with Applied AI teams on prompt engineering, model selection, and evaluation strategies.
• Design and execute performance and load tests for AI services (latency, throughput, cost efficiency).
• Identify and mitigate risks related to hallucinations, bias, safety, and edge cases.
• Define and track AI quality KPIs (task success rates, precision/recall, latency, etc.).
• Participate in design and architecture reviews to ensure systems are testable, observable, and resilient.
• Mentor engineers and contribute to raising the bar on AI quality engineering practices.

What you’ll bring

• 5+ years of experience in software engineering or SDET roles with an emphasis on software development.
• Experience testing distributed, cloud‑native SaaS systems and APIs.
• Demonstrated proficiency in coding with AI agents to accelerate development and improve code quality.
• Hands‑on exposure to LLMs or AI/ML systems (e.g., OpenAI, Claude, Gemini, or similar platforms).
• Understanding of non‑deterministic systems and probabilistic testing approaches.
• Experience building test frameworks and scalable automation systems.
• Familiarity with AI evaluation techniques (benchmarking, golden datasets, human‑in‑the‑loop validation).
• Experience with CI/CD pipelines (e.g., Jenkins, GitHub Actions).
• Strong collaboration skills with the ability to work across distributed teams and time zones.
• Bachelor’s degree in Computer Science or equivalent practical experience.
• Frontend: Vue3, React.
• AI Stack: LLM APIs, LiveKit, prompt orchestration frameworks, evaluation tooling.

Benefits & Compensation

For exceptional talent based in Ontario, Canada, the target base salary range for this position is $135,500 – $158,000 CAD. Compensation may include bonus, equity, and benefits beyond the base salary.

Equal Employment Opportunity

Dialpad is an equal‑opportunity employer. We are dedicated to creating an inclusive environment, free of discrimination and harassment.