Senior Software Engineer (Java)

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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 Senior Software Engineer to join our engineering team. The ideal candidate brings deep expertise in Java Spring Boot microservices, Redis, Oracle, and cloud-native development on GCP and is comfortable navigating complex distributed systems with minimal guidance. You are someone who takes ownership from design to deployment, thrives in ambiguity, and holds yourself to a high standard. Beyond technical depth, you bring a modern engineering mindset: you actively leverage AI coding assistants like Claude to ship faster, debug smarter, and explore solutions more effectively. You will collaborate with a cross-functional team to build, scale, and support high-performance backend systems that power our core platform.

In This Role, You Will:

• Design and deliver scalable, resilient backend services using Java Spring Boot, applying service decomposition, REST-based inter-service communication, and resilience patterns across distributed systems.
• Leverage Redis for high-performance caching, session management, and distributed data patterns including pub/sub, sorted sets, and TTL strategies.
• Develop and optimize Oracle Database schemas, queries, and performance tuning strategies to support mission-critical data workloads.
• Architect and deploy cloud-native solutions on Google Cloud Platform (GCP), ensuring reliability, scalability, and cost-efficiency.
• Actively use AI coding assistants (such as Claude by Anthropic) as part of your daily workflow — accelerating development, assisting with debugging, generating tests, and exploring implementation approaches faster.
• Champion strong engineering ownership — independently driving features from initial design through production release with minimal oversight.
• Build and maintain CI/CD pipelines and containerized services, ensuring smooth, predictable delivery cadences.
• Troubleshoot and resolve complex production issues across cloud-hosted distributed services, applying strong systems thinking and root-cause analysis.
• Collaborate with cross-functional teams and fellow engineers to uphold high standards of code quality, architecture, and operational excellence.
• Contribute to a culture of continuous improvement — participating in code reviews, design discussions, and knowledge sharing across the team.

Here's What You Need:

Primary Skills:

• 5+ 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
• 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 architecture 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