Principal Engineer, Software

At Verint, we believe customer engagement is the core of every global brand. Our mission is to help organizations elevate Customer Experience (CX) and increase workforce productivity by delivering CX Automation. We hire innovators with the passion, creativity, and drive to answer constantly shifting market challenges and deliver impactful results for our customers. Our commitment to attracting and retaining a talented, diverse, and engaged team creates a collaborative environment that openly celebrates all cultures and affords personal and professional growth opportunities. Learn more at www.verint.com . Overview of Job Function Verint’s Principal Software Engineer designs and develops key cloud-first, full-stack software products. This role works with Product Management, Development, Operations and Client Services teams to develop creative solutions satisfying technical and business requirements. Additionally, the role provides recommendations to management as to process, technologies, or other improvements intended to benefit productivity, efficiency and/or quality of the solutions developed by the team. Principal Duties and Essential 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 Minimum 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 analtics 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 Preferred Requirements: 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 #LI-KD1 MIN: 166K MAX: 206K