Manager Site Reliability Engineering

Cvent is a leading meetings, events, and hospitality technology provider with more than 6,000+ employees and 34,000+ 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 the human connection.

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.

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.

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Cvent is looking for a Manager, Site Reliability Engineering to help us scale our systems and ensure stability, reliability and performance and rapid deployments of our platform. We build teams that are inclusive, collaborative, and have a strong sense of ownership for the things they build. If you have a passion and track record for solving problems; moreover, have strong leadership skills, this is a great fit for you.

As Manager, SRE you will demonstrate both emerging and current technologies, methods, and processes contributing to the evolution of software deployment processes, enhancing security, reducing risk, and improving the overall end-user experience. As part of the Technology R&D Team, you will play an integral part in advancing DevOps maturity and be a part of a new culture of quality and site reliability. You will continually improve our CI/CD tools, processes, and procedures. You will also be responsible for regular reporting to Senior Technology Leaders and providing updates on organizational risk exposure and risk related issues.

What You Will Be Doing

• Set the direction and strategy for your team, and help shape the overall SRE program for the company
• Support the growth by ensuring a robust, scalable, cloud-first infrastructure
• Own site stability, performance and capacity planning
• Participate early in the SDLC to ensure reliability is built in from the beginning, and creating plans for successful implementations/launches
• Foster a learning and ownership culture within the team and the larger Cvent organization
• Ensure best engineering practices through automation, infrastructure as code, robust system monitoring, alerting, auto scaling, self-healing, etc...
• Manage complex technical projects and a team of SREs
• Recruit and develop staff; build a culture of excellence in site reliability and automation
• Lead by example - stay hands-on in debugging and coding
• Drive AI-first SRE operations: AI-assisted incident triage and root-cause analysis, agent-driven runbook execution, and automated toil reduction, with outcomes measured by audited results rather than self-reports.
• Build and publish MCP tools that expose Cvent's observability and infrastructure to internal agents through the shared AI platform, in place of one-off scripts.
• Partner with teams on production readiness for AI-powered features: shared SLOs, capacity and cost guardrails, eval-gated release practices, and incident playbooks for LLM and agent workloads. C.A.I. owns the features; SRE owns the platform and operational standards they run on.
• Set an AI goal for every engineer on your team and report progress to Senior Technology Leaders.
• Represent the technology perspective and priorities to leadership and other stakeholders by continuously communicating timeline, scope, risks, and technical road map
• 11+ years of hands-on technical leadership, including 4+ years managing engineers
• 5+ years of demonstrable experience leading site reliability and performance in large-scale, high-traffic environments
• Strong leadership, communication and interpersonal skills geared to getting things done
• Developing themselves and the talent within their charge - fostering and creating opportunity for the team
• Architect-level understanding of one or more of the major public cloud services (AWS, GCP or Azure), using them to effectively design secure and scalable services
• Strong understanding of SRE concepts and the DevOps culture, with a focus on leveraging software engineering tools, methodologies and concepts
• In-depth understanding of automation and CI/CD processes to go along with excellent reasoning and problem-solving skills
• Experience with Unix/Linux environments with a deep grasp on system internals
• Worked on large-scale distributed systems including multi-tiered architecture
• Strong knowledge of modern platforms like Fargate, Docker, Kubernetes etc.
• Experience working with observability tools (Datadog, NewRelic, ELK stack, etc) and Database technologies (SQL Server, Postgres and Couchbase preferred)
• Validated breadth of understanding and development of solutions based on multiple technologies, including networking, cloud, database, and scripting languages.
• Hands-on experience applying AI agents or LLM tooling to operations (incident response, automation, toil reduction), with familiarity with MCP and agent frameworks like Mastra, ADK etc.