Engineer, Software

Verint is committed to enhancing customer engagement and workforce productivity through CX Automation. The Software Engineer will design and build full-stack features, write automated tests, and support production systems while collaborating with various teams to deliver impactful results.

Responsibilities:

• Design, develop, and maintain production-grade full-stack features spanning Java backend services, REST/GraphQL APIs, and React/Ext JS frontend applications
• Translate product requirements and UX designs into well-structured, testable, and performant code
• Implement scalable microservices and modular frontend components that support high concurrency and enterprise-scale data volumes
• Participate in design and architecture reviews; contribute to discussions on API contracts, data models, and service boundaries
• Proactively identify and address performance bottlenecks, security gaps, and technical debt
• Write clean, idiomatic code following team standards; actively contribute to improving those standards over time
• Write comprehensive unit, integration, and end-to-end automated tests using JUnit, Jest, Playwright, etc
• Enforce code quality through peer reviews, static analysis, and adherence to the team's Definition of Done
• Investigate and reproduce reported defects; perform root-cause analysis and deliver timely, well-tested fixes
• Champion a shift-left testing mindset — integrating quality checks early and continuously in the development lifecycle
• Triage, prioritize, and resolve bugs, regression issues, and customer-reported problems within agreed SLA windows
• Provide Tier-2/3 technical support for production incidents; participate in post-incident reviews and implement corrective actions
• Monitor application health using observability tooling (logs, metrics, traces); proactively surface anomalies before they impact customers
• Maintain and improve runbooks and operational documentation for supported features
• Integrate AI/ML capabilities — including LLM-powered features, automated scoring, and speech-to-text — into product features in collaboration with Verint's AI research teams
• Evaluate and pilot emerging technologies; propose adoption where they improve quality, performance, or developer productivity
• Identify and contribute to refactoring initiatives that reduce complexity and improve long-term maintainability
• Stay current with industry engineering trends through reading, experimentation, and participation in technical communities
• Work in cross-functional squads with Product Managers, UX Designers, QA Engineers, DevOps, and Data Engineers
• Actively participate in all Agile Scrum ceremonies: sprint planning, daily stand-ups, backlog refinement, sprint reviews, and retrospectives
• Provide accurate effort estimates and proactively surface risks, blockers, and dependencies
• Collaborate effectively with distributed engineering teams in Atlanta, Israel, and India using async-first communication practices
• Participate in constructive code reviews and knowledge sharing
• Build, maintain, and improve CI/CD pipelines using Jenkins, GitHub Actions, or Azure DevOps — ensuring reliable, automated build-test-deploy workflows
• Containerize services with Docker and deploy to Kubernetes clusters (EKS/AKS) following GitOps and IaC principles
• Implement secure deployment practices: secrets management, environment-specific configuration, and staged rollout strategies
• Optimize pipeline performance to minimize build times and deliver faster feedback loops to the team

Requirements:

• Bachelor's degree in computer science / software engineering (or similar) or equivalent experience
• At least 3 years of practical software development experience
• Proven track record of delivering full-stack features in an Agile/Scrum team with regular sprint cadences
• Hands-on experience with both backend API development and frontend UI implementation in a production codebase
• Back-End: Solid proficiency in Java (Spring Boot, Spring MVC, JPA/Hibernate). Good understanding of RESTful API design, OAuth 2.0/JWT, and basic microservices patterns
• Front-End: Working proficiency in JavaScript/TypeScript with hands-on React experience (hooks, context, state management). HTML5, CSS3, and foundational accessible UI development. Ext JS / Sencha familiarity is a plus
• Databases: Working knowledge of relational databases (PostgreSQL, MS SQL, Oracle) including schema design, SQL query writing, and basic indexing. Exposure to NoSQL stores (Redis, Elasticsearch, MongoDB) is a plus
• Cloud and Infrastructure: Exposure to AWS or Azure core services. Familiarity with Docker and basic Kubernetes concepts
• Testing: JUnit/TestNG/Jest unit tests and integration tests. Exposure to E2E testing tools (Playwright, Cypress, or Selenium)
• CI/CD and DevOps: Working knowledge of Jenkins, GitHub Actions, GitLab CI, or Azure DevOps. Git branching strategies and pull request workflows
• AI and Emerging Tech: Exposure to LLM APIs or AI-powered tooling is a plus; curiosity and eagerness to develop these skills in the role
• Strong analytical thinking and a structured approach to debugging and problem-solving
• Clear written and verbal communication in English; able to document technical work clearly and participate actively in team discussions
• Self-motivated and eager to learn: takes initiative to understand problems deeply and asks good questions when stuck
• Collaborative and team-oriented: contributes positively to squad culture and values diverse perspectives
• Growth mindset: receptive to feedback, committed to continuous improvement, and excited to be challenged
• Solid experience with Agile Scrum or Kanban; comfortable with all sprint ceremonies
• Familiarity with Jira, Confluence, or Azure DevOps Boards for backlog tracking and documentation
• Exposure to test-driven development (TDD) and behavior-driven development (BDD) practices
• Experience or academic exposure to workforce management, customer experience, or enterprise analytics domains
• AWS Certified Developer or Azure Developer Associate certification, or active pursuit of one
• Experience with observability tools such as Datadog, Grafana/Prometheus, or ELK
• Contributions to open-source projects or a portfolio of personal/side projects
• Exposure to OWASP Top 10 security practices and secure coding principles