Lead Software Engineer

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About Cvent:

www.cvent.com

Cvent is a leading meetings, events, and hospitality technology provider with more than 5,500+ employees and ~30,000 customers worldwide, including 60% of the Fortune 500. Founded in 1999, Cvent delivers a comprehensive event marketing and management platform for marketers and event professionals and offers software solutions to hotels, special event venues and destinations to help them grow their group/MICE and corporate travel business. Our technology brings millions of people together at events around the world. In short, we’re transforming the meetings and events industry through innovative technology that powers human connection.

Headquartered in Tysons Corner, Virginia, Cvent (formerly NYSE: CVT) was acquired by Blackstone and Vista for $4.6B in 2023.

Cvent's strength lies in its people, fostering a culture where everyone is encouraged to think like entrepreneurs, taking risks and making decisions confidently. We value diverse perspectives and celebrate differences, working together with colleagues and clients to build strong connections.

Cvent is redefining the meetings and events industry through technology that advances human connection.

AI at Cvent: Leading the Future

Are you ready to shape the future of work at the intersection of human expertise and AI innovation? At Cvent, we’re committed to continuous learning and adaptation—AI isn’t just a tool for us, it’s part of our DNA. We’re looking for candidates who are eager to evolve alongside technology. If you love to experiment boldly, share your discoveries, and help define best practices for AI-augmented work, you’ll thrive here. Our team values professionals who thoughtfully integrate AI into their daily work, delivering exceptional results while relying on the human judgment and creativity that drive real innovation.

Throughout our interview process, you’ll have the chance to demonstrate how you use AI to learn, iterate, and amplify your impact. If you’re excited to be part of a team that’s leading the way in AI-powered collaboration, we’d love to meet you.

About the role:

We are looking for a Lead Software Engineer (Java + React) to join our engineering team. The ideal candidate brings 8+ years of hands-on experience spanning both robust Java Spring Boot backend systems and modern React frontend development — with the technical depth and leadership presence to guide a team through complex, cross-cutting challenges. You are someone who can zoom out to shape architecture decisions and zoom in to deliver production-ready code, all while keeping business goals in focus. You thrive in ambiguity, take end-to-end ownership, and set the engineering bar for those around you. You also bring a forward-thinking mindset — actively embracing AI coding assistants and agentic workflows as tools that make you and your team measurably more effective. You will partner closely with product, design, and cross-functional engineering teams to lead the design, development, and delivery of high-performance, full-stack platform capabilities.

In This Role, You Will:

• Lead the end-to-end design and delivery of full-stack features, spanning scalable Java Spring Boot microservices on the backend and responsive React applications on the frontend.
• Drive architectural decisions across distributed systems — applying service decomposition, REST-based inter-service communication, resilience patterns, and frontend component architecture to build cohesive, maintainable platforms.
• Build and optimize modern React applications with a focus on component reusability, state management, API integration, and frontend performance at scale.
• Leverage Redis for high-performance caching, session management, and distributed data patterns including pub/sub, sorted sets, and TTL strategies.
• Develop and tune Oracle Database schemas, queries, and stored procedures to support high-throughput, mission-critical data workloads.
• Architect and operate cloud-native solutions on Google Cloud Platform (GCP), with a focus on scalability, reliability, and operational efficiency.
• Actively use AI coding assistants (such as Claude by Anthropic) as a force multiplier — accelerating development velocity, improving code quality, generating tests, and exploring architectural approaches faster.
• Champion agentic development workflows — integrating AI-assisted code review, test generation, and documentation into the team's everyday engineering practices.
• Mentor and technically guide engineers on the team, elevating code quality, design thinking, and engineering culture through hands-on involvement and thoughtful feedback.
• Own the full delivery lifecycle — from design and development through deployment, monitoring, and production support — with minimal oversight and maximum accountability.
• Build and maintain CI/CD pipelines and containerized services, ensuring reliable, predictable releases and a healthy engineering delivery cadence.
• Act as a bridge between technical complexity and business priorities — translating ambiguous requirements into clear, actionable engineering plans and communicating progress and trade-offs effectively to stakeholders.

Here's What You Need:

Primary Skills:

• 8+ years of backend development experience
• Strong expertise in Java Spring Boot for building distributed microservices — including service decomposition, inter-service communication (REST), and resilience patterns
• Strong experience with React for building modern, responsive frontend applications — including component-based architecture, state management, API integration, and performance optimization.
• Hands-on experience with Redis for caching, session management, and distributed data patterns (pub/sub, sorted sets, TTL strategies)
• Proficiency with Oracle Database — schema design, query optimization, and performance tuning
• Experience with Google Cloud Platform (GCP) and cloud-native architectures
• Hands-on experience with Claude (Anthropic) or comparable AI coding assistants — using them to accelerate development, debug code, and explore solutions faster
• Familiarity with agentic development workflows — AI-assisted code review, test generation, or documentation — as part of a modern engineering productivity stack
• Experience building scalable, high-performance backend systems
• Strong understanding of software design principles, data structures, and distributed systems
• Experience with CI/CD pipelines and containerization
• Strong ownership mindset — able to independently drive features from design to production

Preferred Skills:

• Experience with Kubernetes, Docker, or Terraform
• Familiarity with event-driven architectures and messaging systems (e.g. Kafka, Pub/Sub)
• Experience with observability and monitoring tools (e.g. Datadog, Cloud Monitoring)
• Exposure to agile development methodologies
• Experience building or integrating LLM-powered features, AI pipelines, or developer tooling new
• Familiarity with enterprise application servers — WebLogic and Tomcat — including deployment, configuration, and performance tuning in production environments