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.
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.
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.
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.
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.
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.
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.
Tech Stack
AWS
Azure
Cloud
Distributed Systems
ElasticSearch
Grafana
GraphQL
Hibernate
Java
JavaScript
Kubernetes
Microservices
MongoDB
NoSQL
Oracle
Postgres
Prometheus
React
Redis
Spring
Spring Boot
SpringBoot
SQL
TypeScript
.NET
Benefits
Global team recognized for their passion and innovation
Innovative product culture and project exposure
Training and development from industry-leading experts
Cutting edge benefit programs that include: 401(k) with company matching; medical, dental, and vision insurance; disability and life insurance; flexible PTO; paid holidays and parental leave; tuition reimbursement and more
Market competitive pay and benefits based upon the candidate’s skills, experience, and qualifications.