Principal Engineer, Software

Verint is dedicated to enhancing customer engagement and workforce productivity through CX Automation. The Principal Software Engineer role involves designing and developing cloud-first, full-stack software products while collaborating with various teams to create innovative solutions that meet both technical and business needs.

Responsibilities:

• Provide technical leadership by influencing the design and architecture of major software components, systems, automation testing, and features
• Help foster the culture of creativity and excellence through technical innovations and thought leadership
• Mentor and train other engineers on design techniques, test automation methodologies and coding standards
• Lead and promote best practices in automated testing and continuous integration
• Improve architecture and code base to be scalable to support growth
• Detail oriented and highly organized with the ability to manage multiple priorities
• Excellent organization, time management, and project leadership skills
• Adheres to strict deliverable deadlines while able to multi-task
• Responsible for architecting applications for the cloud

Requirements:

• 8+ years of experience in design and architect of large-scale applications
• Bachelor's Degree in Computer Science, Engineering, related field or equivalent experience
• Proven track record of owning architecture for large-scale, distributed SaaS products used by enterprise customers
• Hands-on experience, across full technology stack, in developing and architecting web applications that are scalable for large enterprise customers
• Able to troubleshoot and identify root causes of issues while liaising with engineering teams, support and end customers
• 5 years experience of full stack development
• 5 years experience of Java and/or NodeJS programming language
• Familiarity with JavaScript UI library such as React, Angular or Vue
• 5 years experience with SQL and relational data modeling for scalable enterprise applications
• 3 years experience designing data aggregation, transformation, and processing logic to support analytics, recommendations, automation, or intelligent product features
• 5 years experience with containerized runtime environments: Docker, Kubernetes
• 5 years experience with one of the Cloud hosting services: AWS, Azure, or GCP
• 5 years experience with REST API and microservice applications
• 5 years experience integrating AI/ML, generative AI, or intelligence services into enterprise software products
• Familiarity with LLM-based application patterns, including prompt orchestration, retrieval-augmented generation, semantic search, and AI-assisted workflows
• Understanding of responsible AI principles, including data privacy, security, explainability, bias mitigation, and safe handling of customer data
• Ability to evaluate AI solution quality using measurable criteria such as accuracy, relevance, latency, cost, reliability, and user impact
• Experience with GIT
• Familiarity with test automation tools, Exposure to automation, exploratory, and modern testing techniques
• Familiarity with observability tools such as datadog, Grafana/Prometheus, distributed tracking, log analytics
• Familiar with enterprise application security best practices
• Excellent written and verbal communication skills
• Excellent problem-solving skills
• Able to provide technical and professional leadership to other developers
• Successful completion of a background screening process including, but not limited to, employment verifications, criminal search, OFAC, and SS verification
• Master's Degree in Computer Science, Engineering, related field
• Understanding of Workforce Management (WFM), forecasting and scheduling
• Experience designing secure, scalable integrations with internal and external AI services through APIs, event-driven services, or microservices
• Experience working with structured and unstructured data sources to enable intelligent recommendations, automation, summarization, or decision support
• Experience applying AI capabilities in SaaS, cloud, customer engagement, WFM, analytics, automation, or enterprise workflow products