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:
As a Principal Engineer, you will be the senior-most technical voice on the US engineering team for Verint's QM and PM platform. You will define and drive the technical direction of the platform, own critical architectural decisions, set the engineering standard for the team, and serve as a key technical partner to global R&D leadership. You will operate at the intersection of hands-on engineering excellence and strategic technical leadership — contributing directly to complex features while shaping how the entire engineering organization builds, scales, and operates its software. This is a high-visibility, high-impact role that requires both deep technical depth and the credibility to influence across teams and time zones.
Principal Duties and Essential Responsibilities:
Technical Leadership and Architecture
- Define and own the technical architecture for QM, PM, and Platform product areas, spanning backend microservices, frontend systems, APIs, data infrastructure, and cloud deployment.
- Lead architectural design reviews, produce Architecture Decision Records (ADRs), and drive system-level trade-off analyses across the global engineering team.
- Establish and evolve engineering standards, design patterns, coding guidelines, and best practices for the full stack.
- Identify systemic technical risks, scalability constraints, and security vulnerabilities; drive their resolution across teams and time zones.
- Evaluate emerging technologies and frameworks; recommend and lead adoption initiatives that advance quality, performance, and developer velocity.
Full-Stack Engineering Excellence
- Contribute hands-on to the most critical and complex features spanning Java/C# backend services, REST/GraphQL APIs, and React/Ext JS frontends.
- Own architectural implementation of microservices, event-driven systems, and multi-tenant SaaS patterns at enterprise scale.
- Drive performance engineering: profiling, load testing, capacity planning, and optimization across the platform.
- Champion secure-by-design practices aligned with OWASP Top 10, SOC 2, and enterprise customer security requirements.
- Review code across the engineering team; set a high bar for code quality through exemplary contributions and thorough, constructive reviews.
Mentorship and Engineering Culture
- Serve as the senior technical mentor for Architects, Senior Engineers, and mid-level engineers across the US and global teams.
- Build a culture of engineering excellence, continuous improvement, and technical ownership within the Atlanta team.
- Lead internal knowledge-sharing initiatives: tech talks, architecture guild sessions, engineering wikis, and documentation.
- Define technical career development pathways; provide coaching and feedback that helps engineers grow into the next level of their careers.
Cross-Functional and Global Collaboration
- Serve as the primary technical liaison between the Atlanta engineering team and global R&D leadership in Israel and India.
- Collaborate with Product Management, UX Design, Data Engineering, and Customer Success to ensure technical strategy is aligned with product vision and customer needs.
- Represent engineering perspectives in quarterly roadmap planning, executive-level technical reviews, and cross-functional working groups.
- Drive effective async communication practices that bridge significant time-zone differences across three global engineering centers.
AI/ML and Platform Innovation
- Lead integration of AI/ML capabilities into QM and PM product features, including LLM-powered workflows, speech analytics, automated scoring, and predictive models.
- Partner with Verint's AI research teams to translate research outcomes into production-grade, maintainable platform features.
- Drive proof-of-concept initiatives and innovation sprints for next-generation product capabilities.
- Evaluate and recommend AI/ML tooling, frameworks, and infrastructure investments for the platform.
DevOps, Reliability, and Operational Excellence
- Own the CI/CD strategy and platform engineering standards for the Atlanta engineering team.
- Oversee Kubernetes/cloud infrastructure design on AWS and/or Azure, GitOps practices, and deployment reliability.
- Establish SLOs, SLIs, and error budgets; lead post-incident reviews and drive systemic reliability improvements.
- Ensure observability standards are in place across the platform: logging, metrics, distributed tracing, and alerting.
Minimum Requirements:
- 8+ years of experience in design and architect of large-scale applications
- Bachelor's Degree in Computer Science, Engineering, or related field; or equivalent experience
- Proven record of owning architecture for large-scale, distributed SaaS products used by enterprise customers
- Experience leading technical direction across globally distributed engineering organizations
- Demonstrated ability to influence technical decisions across teams without direct management authority
- Back-End: Expert-level proficiency in Java (Spring Boot, Spring MVC, JPA/Hibernate) and/or C# (.NET Core). Deep understanding of distributed systems, event-driven architecture, CQRS, and microservices patterns
- Front-End: Advanced proficiency in JavaScript/TypeScript and React (hooks, context, performance optimization). Architectural-level understanding of frontend state management, micro-frontend patterns, and WCAG accessibility standards
- Databases: Expert-level schema design, query optimization, and indexing across PostgreSQL, MS SQL, and Oracle. Advanced NoSQL usage (Redis, Elasticsearch, MongoDB)
- Cloud and Infrastructure: Deep hands-on experience with AWS or Azure including serverless compute, managed messaging (SQS/SNS/Service Bus), managed databases, and cost optimization. Advanced Kubernetes (EKS/AKS), Helm, and GitOps
- AI/ML: Hands-on experience with LLM integration, prompt engineering, RAG architectures, and embedding AI-powered features into production SaaS workflows
- Observability: Datadog, Grafana/Prometheus, distributed tracing (Jaeger/OpenTelemetry), and log analytics (ELK/OpenSearch)
- Security: Solid understanding of OWASP Top 10, OAuth 2.0/JWT, zero-trust principles, and enterprise identity management
- Successful completion of a background screening process including, but not limited to, employment verifications, criminal search, OFAC, and SS verification
Preferred Requirements:
- Experience in workforce management, customer experience, quality monitoring, or enterprise analytics SaaS domains.
- Familiarity with Verint WFO, QM, or PM products or comparable competitive platforms.
- AWS Solutions Architect Professional or Azure Solutions Architect Expert certification.
- Published technical writing, conference presentations (JavaOne, AWS re:Invent, QCon, etc.), or meaningful open-source contributions.
- Experience with multi-tenancy architecture, white-labeling, and internationalization (i18n) at enterprise scale.
- Familiarity with SOC 2 Type II compliance, GDPR, and enterprise data privacy requirements.
Originally posted on Himalayas