Principal Software Engineer

t 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

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166K

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206K