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
About the TeamVerint Systems Inc. is an equal opportunity employer and is committed to maintaining a workplace free from discrimination, retaliation, and sexual and any other form of harassment. Verint has a zero-tolerance policy against any form of discrimination, retaliation, or harassment including sexual harassment or any other form of harassment based on race, color, religion, sex, age, national origin, genetic information, disability, veteran status, and any other classification or characteristic protected by applicable federal, state or local laws. Verint operates in accordance with all anti-discrimination laws and affords equal opportunities to employees and applicants without regard to any characteristic or protected class in our hiring, promotion and termination practices.
For US Applicants
2025 Benefits Offering
Skills Required
- 8+ years experience designing and architecting large-scale applications
- Bachelor's degree in Computer Science, Engineering or equivalent experience
- Proven track record owning architecture for large-scale, distributed SaaS products
- 5 years full-stack development experience
- 5 years experience with Java and/or NodeJS
- Familiarity with JavaScript UI libraries such as React, Angular or Vue
- 5 years experience with SQL and relational data modeling
- 3 years experience designing data aggregation, transformation, and processing logic for analytics or intelligent features
- 5 years experience with containerized runtimes: Docker and Kubernetes
- 5 years experience with a cloud provider: AWS, Azure, or GCP
- 5 years experience with REST APIs and microservice architectures
- 5 years experience integrating AI/ML or generative AI into enterprise software
- Familiarity with LLM application patterns (prompt orchestration, RAG, semantic search, AI-assisted workflows)
- Understanding of responsible AI principles (data privacy, security, explainability, bias mitigation)
- Ability to evaluate AI solution quality using measurable criteria (accuracy, relevance, latency, cost, reliability, user impact)
- Experience with Git
- Familiarity with test automation tools and modern testing techniques (automation, exploratory testing)
- Familiarity with observability tools such as Datadog, Grafana/Prometheus, distributed tracing and log analytics
- Familiarity with enterprise application security best practices
- Excellent written and verbal communication skills
- Excellent problem-solving skills and ability to troubleshoot root causes
- Ability to provide technical and professional leadership to other developers
- Successful completion of background screening (employment verification, criminal search, OFAC, SS verification)
- Master's Degree in Computer Science, Engineering or related field
- Understanding of Workforce Management (WFM), forecasting and scheduling
- Experience designing secure, scalable integrations with internal and external AI services via APIs or event-driven microservices
- Experience working with structured and unstructured data sources for recommendations, summarization, or decision support
- Experience applying AI capabilities in SaaS, cloud, customer engagement, WFM, analytics, automation, or enterprise workflow products
Verint Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Verint and has not been reviewed or approved by Verint.
-
Strong & Reliable Incentives — Feedback suggests incentive compensation for go-to-market roles is structured competitively, with attractive on-target earnings cited in sales. Variable or bonus pay appears to be part of the package in several tracks.
-
Leave & Time Off Breadth — Feedback suggests paid time off and holidays are a strength, with generous PTO and personal holidays frequently highlighted. Flexible work schedules and remote/hybrid options further support time away and balance.
-
Parental & Family Support — Employer materials highlight company-paid parental leave, adoption assistance, and fertility support. Feedback suggests these family-oriented programs are part of a comprehensive global offering.
Verint Insights
What We Do
Verint® helps the world’s most iconic brands build enduring customer relationships by connecting work, data, and experiences across the enterprise. With this approach, brands can navigate and thrive as they adapt to the future of work, eliminate the inefficiencies created by organizational and data silos, and consistently deliver differentiated experiences at scale across every interaction. Our solutions help brands close the gap created when they lack the resources required to deliver experiences that fulfill customer expectations. Closing this Engagement Capacity Gap™ helps them build lasting relationships with customers and drive real business results. The Verint Customer Engagement Platform draws on the latest advancements in artificial intelligence and analytics, open integration, and the science of customer engagement to meet ever-increasing, ever-shifting consumer interactions and demands. We help our customers to drive even greater value from their technology investments by working closely with a broad ecosystem of solutions and partners. With Verint, brands can finally unlock the potential of customer engagement across every area of the business to deliver consistently differentiated experiences to their customers and employees, and do so at scale to realize tangible business results. Global Presence • Headquartered in Melville, N.Y., with 40+ offices worldwide • Powered by 4,500 dedicated professionals and a global partner network Closing the Engagement Capacity Gap Brands today are challenged to deliver quality customer experiences across dozens of engagement channels, hundreds of customer journeys, and millions of interactions – all with the same team and resources. This results in an Engagement Capacity Gap. Verint solutions are uniquely geared toward closing this gap. More than 10,000 organizations in over 175 countries—including more than 85 percent of the Fortune 100 — rely on Verint. To learn more, visit: www.verint.com
