Senior Staff Software Engineer (SDET)

Uniphore is one of the largest B2B AI-native companies—decades-proven, built-for-scale and designed for the enterprise. The company drives business outcomes, across multiple industry verticals, and enables the largest global deployments.

Uniphore infuses AI into every part of the enterprise that impacts the customer. We deliver the only multimodal architecture centered on customers that combines Generative AI, Knowledge AI, Emotion AI, workflow automation and a co-pilot to guide you. We understand better than anyone how to capture voice, video and text and how to analyze all types of data.

As AI becomes more powerful, every part of the enterprise that impacts the customer will be disrupted. We believe the future will run on the connective tissue between people, machines and data: all in the service of creating the most human processes and experiences for customers and employees.

Key Responsibilities

- Lead QA strategy and roadmap for Uniphore’s AI and SaaS platforms, driving continuous improvements in automation, coverage, and release quality.

- Design and implement scalable automation frameworks for API, UI, and data validation testing. Expertise using AI tools for automation.

- Partner with Data Science and Engineering teams to validate AI/ML workflows, analytics pipelines, and model integration within production environments.

- Lead efforts in performance, security, and regression testing, ensuring Uniphore’s enterprise platforms deliver reliability at scale.

- Perform root cause and trend analysis to identify process gaps and recommend automation or process enhancements.

- Document QA processes, release notes, and best practices in Confluence / Jira and maintain alignment with Agile/SAFe practices.

- Ensure end-to-end testing coverage across microservices, APIs, mobile, and web-based solutions in a multi-tenant cloud environment.

Qualifications

- Bachelor’s degree in Computer Science, Engineering

- 7–10+ years of experience in Software Quality Assurance, including significant automation experience.

- Expert-level proficiency in at least one programming language (e.g., Java, Python, JavaScript, TypeScript).