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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, were 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, were committed to continuous learning and adaptationAI isnt just a tool for us, its part of our DNA. Were 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, youll 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, youll have the chance to demonstrate how you use AI to learn, iterate, and amplify your impact. If youre excited to be part of a team thats leading the way in AI-powered collaboration, wed love to meet you. As a member of Cloud Infrastructure team, you will design, build, and operate the AWS foundation that underpins Cvents 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 multiagent 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. 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 & MultiAgent Systems Identify highvalue 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 multiagent) using modern AI orchestration patterns and frameworks (e.g., toolcalling, planners, evaluators, guardrails). Integrate agents with existing cloud APIs, observability tools, ticketing systems, and runbooks to provide endtoend, humanintheloop automation. Define and enforce safety, security, and approval guardrails for AIdriven actions (RBAC, policy checks, dryruns, explicit approvals, audit logging). Measure and communicate impact of AI automation (MTTR reduction, hours saved, error reduction, cost optimization, improved engineer experience). Reliability, Operations & OnCall 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 oncall rotation, lead troubleshooting for complex AWS infrastructure incidents, and drive postincident 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 AIdriven operations. Help define and evolve paved road standards for AWS infrastructure, automation, and
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.