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.
Job Description:
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 le
a
st one programming language (e.g., Java, Python, JavaScript, TypeScript).
Ability to understand complex features, write quality test cases, and automation test scripts with the right level of validation and assertions.
Strong hands-on experience creating and
maintain
custom test automation frameworks
Experience testing complex systems for end-to-end, longevity, reliability, migration, and performance testing.
Experience using building and deploying AI testing strategies for foundation models, prompt engineering, fine-tuning, Retrieval-Augmented Generation (RAG
)
or Generative AI frameworks (
LangChain
, Guidance
etc
)
Deep understanding of CI/CD workflows and tools (e.g., Jenkins, GitHub Actions, GitLab CI,
CircleCI
).
Proven ability to
understand complex
, distributed systems
and design test strategies for them
Excellent analytical, debugging, and problem-solving skills.
Preferred Skills
Familiarity with
microservices
architectures and related testing methodologies.
Experience with performance/load testing tools (JMeter, Gatling, k6).
Hands on experience with cloud platforms (GCP/AWS/Azure). Familiarity with at least one of them is ideal.
Experience working in Agile/Scrum environments.
Prior mentorship or leadership experience in QA teams.
Prior
experience of
testing
d
ata
d
riven
a
pplications.
Location preference:
India - Bangalore
Uniphore is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.
For more information on how Uniphore uses AI to unify—and humanize—every enterprise experience, please visit www.uniphore.com.
