UTM.io
Website:
utm.io
Job details:
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 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.
Recruitment Scam Notice: Beware of recruitment scams. Legitimate Cvent recruiting communications will come from accounts formatted as “name@cvent.com” email address. Cvent will never request payment or ask for sensitive personal or financial information through chat or social media platforms. Cvent is not responsible for losses or damages arising from communications, payments, or disclosures made to third parties impersonating Cvent.
If you believe a communication may be fraudulent, we strongly recommend that you don't respond and report the incident at recruitingindia@cvent.com.
For more information, visit Cvent’s Recruitment Fraud Notice. https://www.cvent.com/en/notice-recruitment-fraud.
About the role:
As a member of Cloud Infrastructure team, you will design, build, and operate the AWS foundation that underpins Cvent’s products. You will own complex infrastructure services end-to-end, drive automation-first practices, and help evolve our “paved road” for engineers building on AWS.
A key focus for this role is to apply AI/ML and AI agents to Cloud Infrastructure operations – using single and multi‑agent systems and orchestration frameworks to automate diagnostics, runbooks, and workflows while maintaining strong guardrails around security, reliability, and cost.
You will collaborate closely with Cloud Infrastructure peers, SREs, Security Engineering, and product teams across geographies.
What you will be doing:
Cloud Infrastructure Engineering (AWS)
- Design, implement, and operate highly available, secure, and scalable AWS infrastructure (e.g., VPC, Transit Gateway, EC2, Load Balancing, S3, EBS/EFS/FSx, Route 53, IAM, KMS, Backup).
- Build and maintain infrastructure-as-code using tools such as AWS CDK / CloudFormation, enforcing standards, guardrails, and reusable patterns.
- Develop automation and tooling (primarily in Python/TypeScript) to remove repetitive operational work (provisioning, patching, configuration, cleanup, compliance checks, reporting).
- Contribute to and sometimes lead design reviews, architecture discussions, and RFCs for new or evolving infrastructure services.
- Partner with Security and Compliance to meet security, audit, and regulatory requirements across accounts and regions.
AI Agents, Orchestration & Multi‑Agent Systems
- Identify high‑value Cloud Infra workflows (e.g., incident triage, change impact analysis, runbook execution, capacity/cost recommendations) that can be automated using AI agents.
- Design and implement agentic workflows (single and multi‑agent) using modern AI orchestration patterns and frameworks (e.g., tool‑calling, planners, evaluators, guardrails).
- Integrate agents with existing cloud APIs, observability tools, ticketing systems, and runbooks to provide end‑to‑end, human-in-the-loop automation.
- Define and enforce safety, security, and approval guardrails for AI‑driven actions (RBAC, policy checks, dry‑runs, explicit approvals, audit logging).
- Measure and communicate impact of AI automation (MTTR reduction, hours saved, error reduction, cost optimization, improved engineer experience).
Reliability, Operations & On‑Call
- Own the reliability and performance of services you build – from design through deployment and production operations.
- Implement and tune monitoring, logging, alerting, and SLO/SLA dashboards for Cloud Infra services (Datadog/Splunk/CloudWatch or similar).
- Participate in the on‑call rotation, lead troubleshooting for complex AWS infrastructure incidents, and drive post‑incident reviews and preventative improvements.
- Proactively identify technical debt and reliability risks in infrastructure and drive remediation plans.
Collaboration, Mentoring & Best Practices
- Act as a technical mentor to Engineer I/II teammates on AWS fundamentals, automation patterns, and AI‑driven operations.
- Help define and evolve paved road standards for AWS infrastructure, automation, and AI agent usage across Cloud Infrastructure.
- Contribute to runbooks, design docs, knowledge base articles, and internal training sessions, including AI and automation best practices
What you will need for this position:
Required Qualifications
- 3–6 years of hands-on‑ experience in Cloud / Infrastructure Engineering, or similar roles, with strong focus on AWS.
- Deep understanding of core AWS services: VPC & networking (subnets, routing, TGW, VPN/Direct Connect, security groups, NACLs), EC2, Auto Scaling, Load Balancing, S3, EBS/EFS/FSx, Route 53, IAM, KMS, CloudWatch/CloudTrail, and Backup.
- Strong experience with Infrastructure-as-Code (AWS CDK, CloudFormation, or Terraform) and Git-based workflows (branching, PR reviews, CI/CD).
- Solid programming skills in at least one language commonly used for infra-automation, such as Python or TypeScript/Node.js.
- Proven track record designing and operating production-grade, multi‑account/multi‑region AWS environments with a focus on security, reliability, and cost.
- Experience implementing observability for infrastructure services (metrics, logs, traces, alerting, dashboards).
- Demonstrated ability to own complex projects end-to-end: requirements, design, implementation, rollout, and post‑launch improvements.
- Strong collaboration and communication skills; comfortable working with distributed teams and multiple stakeholders (SRE, Security, product engineering, leadership).
AI / Agentic Skills – Required
- Practical experience building or integrating LLM-based solutions (e.g., using OpenAI, Anthropic, Azure/OpenAI-compatible, or similar APIs).
- Hands-on experience with at least one of:
- AI agent frameworks (e.g., LangGraph-style, CrewAI-like, or custom agent patterns), or
- Orchestrating multi-step AI workflows using tools, function calling, or custom planners.
- Ability to translate infra problems into agentic workflows (e.g., “given alerts + context, generate and execute an actionable runbook; escalate with a summarized context if confidence is low”).
- Familiarity with prompt engineering, retrieval‑augmented generation (RAG), and techniques to constrain and evaluate AI outputs in production.
Nice to Have
- Experience in a large-scale SaaS or multi‑tenant environment.
- Exposure to cost optimization / FinOps in AWS (right‑sizing, storage optimization, data transfer analysis, automated cleanup).
- Experience with security engineering concepts such as least‑privilege IAM design, KMS usage patterns, and network security controls.
- Experience integrating AI agents with ticketing and workflow platforms (Jira/ServiceNow, Slack/MS Teams bots, internal tools).
- AWS certifications (e.g., Solutions Architect – Associate/Professional, Security – Specialty, or Advanced Networking) or equivalent experience.
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