Senior Data Engineer Python Jobs in Reno, NV (NOW HIRING)

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 Senior Software Engineer, you will take deep technical ownership of significant product features and subsystems within Verint's QM and PM platform. You will lead the design and implementation of complex full-stack capabilities, mentor peers, contribute to architectural decisions, and partner with a globally distributed engineering team to ship high-quality, enterprise-grade software. This role demands hands-on engineering excellence and the ability to influence technical direction within your squad and beyond. You will work on software that directly impacts how enterprise customers manage workforce performance and customer interactions at scale.

Principal Duties and Essential Responsibilities:

Full-Stack Development

• Design, develop, and maintain production-grade full-stack features spanning Java/C# backend services, REST/GraphQL APIs, and React/Ext JS frontend applications.

• Lead implementation of complex, high-impact features from API design through polished, accessible UI delivery.

• Architect scalable microservices and modular frontend components supporting high concurrency and enterprise-scale data volumes.

• Own design and architecture reviews for your squad; drive API contract definitions, data model decisions, and service boundary design.

• Proactively identify and resolve performance bottlenecks, security vulnerabilities, and technical debt.

• Set code quality standards through exemplary contributions and constructive, thorough peer reviews.

Quality Assurance and Testing

• Write comprehensive unit, integration, and end-to-end automated tests using JUnit, Jest, Playwright, and Cucumber (BDD).

• Champion test-driven development (TDD) and behavior-driven development (BDD) practices within the squad.

• Investigate and resolve complex defects through rigorous root-cause analysis and well-tested fixes.

• Define and uphold the squad's Definition of Done and peer review standards.

Production Support and Observability

• Lead triage and resolution of Tier-2/3 production incidents within agreed SLA windows.

• Drive post-incident reviews and implement corrective and preventive actions.

• Establish and maintain observability practices for your product area: logging, metrics, and distributed tracing.

• Maintain and improve runbooks, incident playbooks, and operational documentation.

Mentorship and Technical Influence

• Mentor mid-level and junior engineers through detailed code reviews, pair programming sessions, and design discussions.

• Contribute to architectural and engineering standards at the squad and chapter level.

• Participate in and occasionally lead internal tech talks, knowledge-sharing sessions, and engineering guild discussions.

• Help define and evolve the team's technical practices in partnership with the Principal Engineer and Tech Leads.

AI/ML Integration and Innovation

• Integrate AI/ML capabilities into product features including LLM-powered analytics, automated quality scoring, speech-to-text, and predictive models.

• Evaluate and pilot emerging technologies; propose adoption where they improve product quality, customer outcomes, or team velocity.

• Lead refactoring and modernization initiatives that reduce complexity and improve long-term platform maintainability.

Collaboration and CI/CD

• Work in cross-functional squads with Product Managers, UX Designers, QA Engineers, DevOps, and Data Engineers.

• Actively participate in all Agile Scrum ceremonies; provide accurate effort estimates and proactively surface risks, blockers, and dependencies.

• Build and maintain CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps); containerize services with Docker and deploy to Kubernetes clusters (EKS/AKS).

• Collaborate effectively with distributed engineering teams in Atlanta, Israel, and India using async communication practices.

Minimum Requirements:

• Bachelor's degree in computer science, Engineering or related field

• 5 years' experience in design and programming large scale applications through all phases of the software development life cycle including testing, implementation and auditing

• Proven track record of delivery of complex, full-stack features end-to-end.

• Experience mentoring mid to entry level engineers and influencing technical direction within a cross-functional squad.

• Back-End: Strong proficiency in Java (Spring Boot, Spring MVC, JPA/Hibernate) and/or C# (.NET / .NET Core). Solid understanding of RESTful API design, OAuth 2.0/JWT, and microservices patterns.

• Front-End: Proficiency in JavaScript/TypeScript with hands-on React experience (hooks, context, Redux or equivalent). HTML5, CSS3, and WCAG-compliant accessible UI development. Ext JS / Sencha familiarity is a plus.

• Databases: Strong working knowledge of relational databases (PostgreSQL, MS SQL, Oracle) including schema design and query optimization. Solid exposure to NoSQL stores (Redis, Elasticsearch, MongoDB).

• Cloud and Infrastructure: Hands-on experience on AWS or Azure. Docker and Kubernetes proficiency. Understanding of cloud-native patterns and serverless architectures.

• Testing: JUnit/TestNG/Jest, integration and E2E tests (Playwright, Cypress, Selenium). BDD with Cucumber is a plus.

• CI/CD and DevOps: Practical experience with Jenkins, GitHub Actions, or Azure DevOps. Git branching strategies, pull requests, and semantic versioning.

• AI and Emerging Tech: Experience consuming LLM APIs, prompt engineering, or integrating AI-powered features into production workflows.

• Strong analytical and structured problem-solving skills; able to break down ambiguous requirements into well-defined, deliverable engineering tasks.

• Clear and concise written and verbal communication in English; comfortable presenting technical plans to engineering and product stakeholders.

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 Certified Developer or Azure Developer Associate certification.

• Experience with observability stacks such as Datadog, Grafana/Prometheus, or ELK.

• Contributions to open-source projects or a visible portfolio of personal projects.

• Knowledge of multi-tenancy patterns, white-labeling, and internationalization (i18n).

• Exposure to OWASP Top 10 security practices and secure SDLC principles.

MIN: 143K

MAX: 158K

#LI-KD1

Verint 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

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