Staff DevOps Engineer

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 Bachel