Ensures products and solutions meet real-world customer expectations by validating usability, reliability, and end-to-end experience beyond functional correctness in connected ecosystem
Job Summary
Ensures products and solutions meet real-world customer expectations by validating usability, reliability, and end-to-end experience beyond functional correctness in connected ecosystem.
Integrates Quality Engineering, Data Engineering, and AI-driven insights to translate customer journeys, usage signals, and feedback into measurable acceptance criteria, actionable insights, and informed release-readiness decisions.
Collaborates and communicates with management, internal, and outsourced development partners regarding software systems design status, project progress, and issue resolution.
Matching Summary
Ensures products and solutions meet real-world customer expectations by validating usability, reliability, and end-to-end experience beyond functional correctness in connected ecosystem.
Skills & Requirements
Must-have
Quality Engineering
Data Engineering
AI-driven insights
Customer journeys
Usability, reliability, end-to-end experience
Customer friction identification
Release-readiness decisions
Nice-to-have
Agile Methodology
Amazon Web Services
Application Programming Interface (API)
Automation
Docker (Software)
Full Stack Development
Kubernetes
Microservices
Microsoft Azure
Scalability
Software Development
Software Engineering
Customer Centricity
Learning Agility
Digital Fluency
Key Requirements
Four-year or Graduate Degree in Computer Science, Information Systems, or related discipline or commensurate work experience
4-7 years of work experience in systems engineering, computer programming language, or related field or an advanced degree with 3-5 years of work experience