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About The Project The project is an AI vision platform running on Kubernetes and used for enterprise video analytics. We are looking for a highly technical Tier 2 / Tier 3 Technical Support Engineer to help customers troubleshoot and resolve complex platform, infrastructure, and deployment issues. Location & Schedule LATAM-based candidates only. Fully remote. Must be available to work U.S. East Coast business hours. Onboarding During the first month, the engineer will focus on learning the platform and internal support processes, working closely with senior engineers before independently handling customer issues. The onboarding also includes internal training and certification related to the AI vision platform. Responsibilities Provide Tier 2 / Tier 3 technical support to enterprise customers. Troubleshoot Kubernetes-based deployments, software, infrastructure, hardware, networking, and configuration issues. Reproduce customer environments and run tests to diagnose technical problems. Work directly with customers during technical discussions and troubleshooting sessions. Manage and resolve technical support tickets. Collaborate with Engineering, Sales, and Customer Success teams. Escalate complex issues and product bugs to Engineering and help drive them to resolution. Clearly communicate technical findings, workarounds, and resolutions to customers. Requirements: 2+ years of technical support experience, preferably in Tier 2 / Tier 3 support. Strong hands-on Kubernetes experience in production environments. At least one relevant Kubernetes or cloud certification, such as CKA, CKAD, CKS, AWS, Azure, or equivalent. Strong troubleshooting skills across software, infrastructure, networking, and distributed environments. Experience working directly with customers in a technical capacity. Strong written and verbal English communication skills. Ability to independently investigate complex technical issues and collaborate with engineering teams. Nice to Have Experience With AWS, Azure, Or Other Cloud Platforms. Linux troubleshooting experience. Experience with containers, networking, monitoring, and logging. Experience supporting enterprise software products. Exposure to AI, computer vision, video analytics, or similar technologies.
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.