Why This Job is Featured on The SaaS Jobs
This SDET role stands out in SaaS because it sits at the intersection of product velocity and reliability for an AI-driven communications platform, with a clear emphasis on mobile. The remit spans iOS and Android automation frameworks and CI/CD, which are core leverage points for subscription products where frequent releases and consistent user experience directly affect retention.
From a long-term SaaS career perspective, the work builds durable expertise in quality engineering as a systems discipline, not a testing afterthought. Owning framework design decisions, improving pipeline performance, and building reporting that surfaces product health are all skills that translate across SaaS orgs moving toward platform-minded QA. The mention of AI-powered tooling in the testing lifecycle also signals exposure to emerging workflows that many SaaS teams are actively experimenting with.
This role is best suited to an engineer who prefers end-to-end ownership and can communicate trade-offs to stakeholders beyond engineering, especially in a geo-distributed setup. It will appeal to someone who enjoys diagnosing failures deeply, shaping standards, and enabling other teams to ship confidently through better tooling rather than manual process.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Your role
At Dialpad, we are building the future of AI-driven communication. As a Software Development Engineer in Test (SDET), you will lead the charge in building scalable, world-class mobile test automation frameworks that empower our engineering teams to ship with confidence and speed.
We are looking for a quality advocate who bridges development and testing. You bring excellent written and verbal communication skills and the ability to collaborate with a geo-distributed team on a shared vision. You will enhance and maintain mobile testing frameworks, lead design decisions, and work closely with other senior developers.
This position reports to a Quality Engineering Manager in the USA.
What you’ll do
- Design and optimize high-performance mobile automation frameworks (iOS/Android) that are fast, reliable, and scalable.
- Maintain performant and reliable CI/CD pipelines.
- Independently analyze test results and investigate failures to identify potential root causes and provide detailed reports.
- Build advanced reporting and tools to provide real-time visibility into product health and failure patterns.
- Develop and execute system performance testing against a variety of systems.
- Work closely with mobile engineers, QA partners, and product teams to ensure features are testable and automation-ready.
- Develop and execute a comprehensive test strategy.
- Perform functional, regression, and performance testing using automation tools.
- Lead the AI Frontier and integrate AI-powered tooling into the testing lifecycle to accelerate defect detection and script generation.
- Advocate for doing the right thing even if it’s difficult.
Skills you’ll bring
- 4+ years of experience as an SDET, Software Engineer, or Test Automation Engineer in SaaS environments.
- Strong programming experience in any top language, such as Python or Java.
- Experience with AI code generation, subagents, and modern code generation workflows.
- Deep, hands-on experience building scalable frameworks from scratch. The ability to articulate complex technical trade-offs to both engineers and non-technical stakeholders across global time zones.
- Highly organized with excellent written and verbal communication skills.
- Experience with cloud-based mobile device testing platforms like LambdaTest, BrowserStack, etc.
- Direct experience applying testing methodologies, including regression, integration, and performance testing
- Extensive knowledge of cloud technologies, including the testing of REST services.
- Strong people skills, as you'll work with other teams in different geographies.
- The "Plus" Factor includes: Experience with mobile programming languages Kotlin or Swift. Application of UX/Accessibility standards and a proactive approach to using Generative AI to optimize development workflows.
