Work at DaCodes!
We are a high-impact software and digital transformation firm.For 10 years, we have created solutions focused on technology and innovation thanks to our team of nearly 300 talented #DaCoders, including developers, architects, UX/UI designers, PMs, QA testers, and more.
Our team collaborates on projects with clients across LATAM and the United States, achieving outstanding results.At DaCodes, you will have the opportunity to accelerate your professional development, work on diverse projects across different industries, and contribute to the design, implementation, and optimization of cloud infrastructures.Our DaCoders have a significant impact on the success of our business and our clients.
You will be the expert participating in our projects and will have access to disruptive startups and global brands.Interested?
We are looking for aSenior Kubernetes Technical Support Engineerto join a highly technical team supporting an enterpriseAI vision platform running on Kubernetesand used for video analytics.This is a hands-onTier 2 / Tier 3 technical support rolefocused on investigating and resolving complex issues across Kubernetes deployments, software, infrastructure, networking, hardware, and configuration.You will work directly with enterprise customers during troubleshooting sessions, reproduce customer environments, investigate complex incidents, and collaborate closely with Engineering to identify root causes and drive product issues to resolution.This position is idóneo for an engineer who combines strongproduction Kubernetes knowledgewith excellent troubleshooting, customer-facing communication, and the ability to independently investigate complex technical problems.RequirementsRequired Profile2+ years of professional Technical Support experience, preferably providingTier 2 / Tier 3 supportfor technical or enterprise software products.Non-negotiable.Strong,



hands-onKubernetes experience in production environments.Non-negotiable.At least one relevantKubernetes or Cloud certification, such asCKA, CKAD, CKS, AWS, Azure, or equivalent.Non-negotiable.Strong troubleshooting capabilities acrosssoftware, infrastructure, networking, and distributed environments.Non-negotiable.Strong written and verbalEnglish communication skills, with the ability to participate effectively in customer-facing technical conversations.Non-negotiable.Experience working directly with customers in a technical capacity.Ability to independently investigate ambiguous or complex technical issues and drive them toward resolution.Experience collaborating with Engineering teams on escalations, technical investigations, and product issues.Ability to clearly communicate highly technical concepts, findings, workarounds, and resolutions to customers and internal stakeholders.Strong analytical thinking, ownership, organization, and problem-solving skills.Technical SkillsStrong practical knowledge of:Kubernetes in production environments.Containerized applications and container troubleshooting.Kubernetes deployments, services, pods, configurations, and common failure scenarios.Networking concepts and troubleshooting.Infrastructure and distributed systems troubleshooting.Logs, monitoring, and diagnostic tools.Technical incident investigation and root-cause analysis.Nice to HaveExperience withAWS, Azure,



or other major cloud platforms.Strong Linux troubleshooting skills.Experience with container technologies and container networking.Experience with monitoring, observability, and logging platforms.Previous experience supporting enterprise software or SaaS products.Exposure toAI, computer vision, video analytics, or related technologies.Experience supporting platforms that combine software, cloud infrastructure, networking, and hardware components.Location, Language & AvailabilityLocation:LATAM, including Mexico.Work model:Fully remote.English:Strong written and verbal English communication skills required.Availability to work aligned withU.S.
East Coast business hours.Ability to participate in live technical troubleshooting sessions with customers.OnboardingDuring the first month, you will focus on learning the AI vision platform, its architecture, and the team's internal support processes.You will work closely with senior engineers before independently owning customer issues.
The onboarding process will also include internal training and certification related to the AI vision platform to ensure you have the technical knowledge required to effectively troubleshoot customer environments.BenefitsIntegration with global brands and disruptive startups.Remote work/Home office.If a hybrid or on-site work model is required, you will be informed from the first session.
⏰ Schedule adjusted to the assigned work cell/project.Monday to Friday work schedule.Day off on your birthday.Major medical insurance (applies to Mexico).
️ Life insurance (applies to Mexico).
Multicultural work teams.Access to courses and certifications.Meetups with special guests from the IT field.Virtual integration events and interest groups.English classes.Opportunities within our different business lines.Proudly certified as a Great Place to Work.

📌 Kubernetes Technical Support Engineer (Latam) English Required (México)
🏢 Importante empresa
📍 México