Nextiva

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. Strong Linux, networking, storage, and security fundamentals. Experience operating observability platforms such as Prometheus, Grafana, Datadog, or OpenTelemetry at platform scale. Excellent communication skills with the ability to influence technical direction across teams. Demonstrated ability to understand, calculate, forecast, and optimize cloud and Kubernetes infrastructure costs, including evaluating the cost implications of architecture, capacity, compute, and resource-allocation decisions. Experience with capacity planning and resource optimization, balancing performance, reliability, scalability, and infrastructure cost. Additional experience that will help you succeed Kubernetes policy-as-code and security tooling such as OPA/Gatekeeper, Kyverno, or image-scanning technologies. AWS, GCP, Azure, CKA, or CKS certifications. AI literacy AI matters to this role primarily as an infrastructure and platform workload , not simply as an end-user productivity tool. Experience designing infrastructure capable of supportin

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. Location: 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 Senior DevOps Engineer to own and modernize our CI/CD pipelines and developer tooling. You’ll focus on one of the most important parts of the engineering experience: getting code from commit to production quickly, reliably, and safely. You’ll work closely with engineering teams to improve pipelines, reduce developer friction, strengthen deployment practices, and create reusable tooling that makes the right way to ship software the easy way. Nextiva’s platform is built on a modern microservices architecture, and reliability and adaptability are central to how we serve customers. Our broader platform strategy also leverages AI and automation to create better outcomes, making this role important to how our engineering organization continues to scale and evolve. What you’ll do Design, build, and maintain CI/CD pipelines as code across multiple services and engineering teams. Improve deployment safety through progressive delivery strategies including canary, blue/green, and feature-flag-based releases. Build reusable pipeline templates, shared libraries, and self-service tooling that make it easier for teams to onboard and ship consistently. Improve build performance through caching, parallelization, and other approaches that reduce pipeline execution and feedback time. Partner with engineering teams to identify and remove friction from local development, testing, CI, and deployment workflows. Integrate appropriate AI-assisted capabilities into developer workflows, including use cases such as pipeline diagnostics, test generation or selection, code-review automation, and failure triage. Implement software supply-chain practices including dependency scanning, artifact signing, and SBOM generation. Use Infrastructure-as-Code to provision and maintain the infrastructure supporting CI/CD. Monitor pipeline health and deployment success and use those signals to drive continuous improvements. Help engineering teams adopt effective DevOps and delivery practices through clear communication, enablement, and reusable solutions. What you bring Bachelor’s degree in Computer Science or a related field, or equivalent work experience. 5+ years of DevOps or software engineering experience, with a strong focus on CI/CD and developer tooling. Strong hands-on experience with modern CI/CD platforms such as Jenkins, GitHub Actions, GitLab CI, CircleCI, or Buildkite. Experience designing pipelines as code and reusable pipeline templates. Solid understanding of Docker, Kubernetes, and deploying containerized applications through CI/CD. Working knowledge of Infrastructure-as-Code, including Terraform and/or Ansible. Strong Linux administration and scripting skills using Bash, Python, or Go. Experience with middleware or messaging technologies such as Kafka, Redis, or RabbitMQ. Experience with observability and monitoring tools such as Prometheus, Grafana, Datadog, or ELK. Strong communication skills and experience driving adoption of tooling across engineering teams. Progressive delivery tooling such as Argo Rollouts, Flagger, or feature-flag platforms. Additional experience that will help you succeed Software supply-chain security tooling such as Nexus, Sigstore/cosign, Syft/SBOM tooling, Snyk, or Trivy. Experience applying AI/LLM-based tools to engineering workflows. AI literacy We’re looking for someone who understands where AI can genuinely improve engineering workflows rather than applying it for its own sake. Experience using AI/LLM-assisted tooling to accelerate development, testing, troubleshooting, code review, or CI/CD workflows. Ability to evaluate AI-generated recommendations or outputs critically before incorporating them into production engineering processes. Curiosity about opportunities such as intelligent test selection, flaky-test detection, automated checks, and pipeline failure diagnostics. Nextiva DNA (Core Competencies) Nextiva’s most successful team members share common traits and behaviors: Drives Resul