Senior Site Reliability Engineer

Cvent · Tysons Corner, VA · 2 wk ago

ConsultingFull-time

Culture and Impact

Cvent is a leading provider of meetings, events, and hospitality technology with over 5,500 employees and 30,000 customers worldwide. Founded in 1999, Cvent offers a comprehensive event management platform and software solutions for hotels and venues. The company fosters a culture of innovation and diversity, encouraging employees to think like entrepreneurs and leverage AI to enhance their work.

Responsibilities

Run Infrastructure as Code applications, build pipelines, and enable development teams
Guide development teams through infrastructure decisions
Conduct incident retrospectives and implement and maintain Service Level Indicators (SLIs) and Service Level Objectives (SLOs)
Evaluate and prioritize work to solve reliability issues
Identify and prioritize issues, find universal solutions to common problems, and mentor and support junior staff
Put AI at the center of how we work - using AI tools and agents to automate toil, accelerate incident response, and build smarter, self-healing systems
Champion Cvent standards and best practices
Ensure the scalability, performance, and resilience of our suite of products
Work with the development and product team of a new application to establish the right monitoring and alerting strategy
Develop build, test, and deployment automation that seamlessly targets multiple on-premises and AWS regions
Focus on automation of tasks and AI-driven operational efficiency - automate all the things!
Leverage AI tools and agents (e.g., Claude) to accelerate development, reduce toil, and speed up incident response
Build and integrate AI-driven automation into monitoring, alerting, and remediation workflows - such as anomaly detection, intelligent runbooks, and auto-remediation
Apply AI/ML techniques to observability, log analysis, and capacity planning to surface issues earlier and resolve them faster
Evaluate, pilot, and champion emerging AI tooling, sharing best practices and helping development teams adopt AI responsibly and effectively
Give back by working on and contributing to Open-Source projects

Requirements

Experience with Agile SDLC methodologies and championing CI/CD
Scripting languages like Ruby, Groovy, Bash, PowerShell, TypeScript, or Python
Exposure to managing AWS services / operational knowledge of managing applications in AWS
Experience with configuration management tools such as Chef, Puppet, Ansible or equivalent
Hands-on experience with Windows and Linux/Unix administration
Working with APM, monitoring, and logging tools (Datadog, New Relic, Splunk)
Good understanding of containerization concepts - Docker, ECS, EKS, Kubernetes
Experience managing 3-tier application stacks
Experience with build tools such as Jenkins
Experience with NoSQL databases such as MongoDB, Couchbase, Postgres, etc.
F5 load balancing concepts
Understanding of basic networking concepts
Experience with package managers such as Nexus, Artifactory or equivalent
Hands-on experience with AI coding assistants such as Claude Code, and AI agents for operational and engineering workflows
A growth mindset, with a commitment to staying current with AI advancements through self-driven learning
Strong observability practices
Understanding of SRE concepts and the DevOps culture, with a focus on leveraging software engineering tools, methodologies, and concepts
Intermediate troubleshooting skills and the ability to lead incident response efforts
Identifying and prioritizing issues and finding solutions to common problems through a holistic view of Cvent systems
Mentoring and supporting junior staff through strong communication skills

Qualifications

Experience with scripting languages like Ruby, Groovy, Bash, PowerShell, TypeScript, or Python
Exposure to managing AWS services / operational knowledge of managing applications in AWS
Experience with configuration management tools such as Chef, Puppet, Ansible or equivalent
Hands-on experience with Windows and Linux/Unix administration
Working with APM, monitoring, and logging tools (Datadog, New Relic, Splunk)
Good understanding of containerization concepts - Docker, ECS, EKS, Kubernetes
Experience managing 3-tier application stacks
Experience with build tools such as Jenkins
Experience with NoSQL databases such as MongoDB, Couchbase, Postgres, etc.
F5 load balancing concepts
Understanding of basic networking concepts
Experience with package managers such as Nexus, Artifactory or equivalent
Hands-on experience with AI coding assistants such as Claude Code, and AI agents for operational and engineering workflows
A growth mindset, with a commitment to staying current with AI advancements through self-driven learning
Strong observability practices
Understanding of SRE concepts and the DevOps culture, with a focus on leveraging software engineering tools, methodologies, and concepts
Intermediate troubleshooting skills and the ability to lead incident response efforts
Identifying and prioritizing issues and finding solutions to common problems through a holistic view of Cvent systems
Mentoring and supporting junior staff through strong communication skills

Skills

Advanced development and operations knowledge
Experience with AI tools and agents
Experience with AI/ML techniques in observability, log analysis, and capacity planning
Experience with AI-driven automation in monitoring, alerting, and remediation workflows
Experience with AI/LLM-based tools in engineering and CI/CD pipelines

Benefits

Hybrid: 2 days in office

Pay

TBD

Schedule