Staff DevOps Engineer

Nextiva · MexicoRemotesenior

In short

▸Ingeniero DevOps de nivel técnico alto que lidera la arquitectura de Kubernetes multi-cluster y plataformas internas.
▸Día a día: diseño de infraestructura, GitOps, plataformas para desarrolladores, soporte a IA/ML y optimización de costos.
▸Lo destacado: rol de liderazgo técnico sin reporting directo, con impacto en toda la organización.

Proficiency in English is required to collaborate with global teams.

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What they ask for

✓8+ años en DevOps, plataforma o ingeniería de infraestructura.
✓5+ años de experiencia práctica con Kubernetes en producción.
✓Experiencia sólida con AWS y GCP.
✓Experiencia con GitOps (Argo CD o Flux).
✓Experto en IaC con Terraform o Pulumi.
✓Conocimiento profundo de red, servicio mesh y entornos multi-tenancy.

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KubernetesArgo CDFluxAWSGCPTerraformPulumiIstioLinkerdCilium

Who should you write to at Nextiva?

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Redefine the future of customer experiences. One conversation at a time. At Nextiva, we’re reimagining how businesses connect, bringing together customer experience and team collaboration on a single, conversation centric platform. Powered by AI, driven by human innovation. Our culture is forward thinking, customer obsessed and built on the belief that meaningful connections drive better business outcomes. Whether it’s through our signature Amazing Service®, the technology we create, or the experiences we cultivate, connection is at the core of who we are. If you’re ready to collaborate with incredible people, make an impact, and help businesses everywhere deliver truly amazing experiences, this is where you belong. While this role is open to remote candidates across Mexico, team members located within 80 kilometers of our Guadalajara office (Calle Amado Nervo 2200, Jardínes del Sol, 45050 Zapopan, Jal.) are expected to work onsite to support collaboration, speed, and execution. Nextiva is looking for a Staff DevOps Engineer to lead the design and evolution of our platform engineering practice, with deep technical ownership of Kubernetes infrastructure. This is an individual-contributor technical leadership role. You’ll help define how engineering teams build, deploy, and operate software by establishing platform architecture, standards, and paved roads that make infrastructure easier to consume without sacrificing reliability, security, or scalability. Nextiva operates a globally available, redundant microservices architecture and positions reliability, API accessibility, and adaptability as key elements of its technology platform. This role will help evolve the infrastructure behind that environment while supporting the growing needs of engineering and AI/ML workloads. What you’ll do Own the architecture and roadmap for our multi-cluster Kubernetes platform, including scaling, upgrades, and multi-tenancy. Establish GitOps-based deployment workflows using technologies such as Argo CD or Flux. Design and evolve an internal developer platform that provides engineering teams with self-service access to compute, environments, and observability. Architect service mesh, networking, and ingress strategies for reliable and secure communication across services. Define platform standards for GPU and ML workload scheduling and resource management on Kubernetes. Partner with AI/ML teams on infrastructure requirements for training and inference workloads. Drive capacity planning and cost optimization across Kubernetes and cloud infrastructure. Set technical direction and review architecture for platform-impacting changes across engineering. Define and own platform reliability through SLOs, incident-response leadership, and postmortems. Mentor experienced engineers and represent platform engineering in cross-organizational technical decisions. Influence teams toward common platform standards without relying on direct reporting authority. What you bring Bachelor’s degree in Computer Science or a related field, or equivalent work experience. 8+ years of DevOps, platform, or infrastructure engineering experience. 5+ years of hands-on Kubernetes experience in production, including cluster architecture, upgrades, and multi-tenant environments. Strong hands-on experience operating cloud infrastructure across AWS and Google Cloud Platform (GCP). Strong GitOps experience with Argo CD or Flux. Strong Infrastructure-as-Code experience with Terraform or Pulumi. Deep understanding of container orchestration, networking, ingress, and service mesh technologies such as Istio, Linkerd, or Cilium. Experience with middleware and messaging technologies such as Nginx, Kafka, and Redis at scale. Experience with GPU scheduling, node pools, and resource quotas supporting ML/AI training or inference workloads in GKE and EKS. Experience designing internal developer platforms or paved-road tooling for engineering organizations.

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