Senior Devops / Platform Engineer

We're looking for aSenior DevOps / Platform Engineerto help design, automate, and operate our cloud-native platform. You'll work across AWS and GCP, manage Kubernetes at scale, implement highly-automated CI/CD workflows, and collaborate with engineering teams to ensure reliable delivery of SaaS features and AI-driven products. What makes this role unique: Real ownership and autonomy - you'll be a key technical decision-maker Work directly with leadership on platform strategy Hands-on with cutting-edge cloud-native and AI/ML workloads Opportunity to lead a major AWS ? GCP migrationto optimize costs and performance This role is ideal for someone who thrives in high-automation environments, enjoys solving complex platform challenges, and wants visible impact on products used by enterprise customers. Location:Fully remote (Spain-based) ?? Key Responsibilities Infrastructure & Cloud Design, build, and maintain multi-cloud infrastructure onAWS and GCP Operate and optimizeKubernetes clusters(GKE, EKS) at scale (up to ~1K nodes) Lead infrastructure modernization and cloud migration initiatives Implement cost optimization strategies across cloud providers Automation & CI/CD ManageArgo Workflows and ArgoCDfor GitOps-based deployments Build and maintainend-to-end Infrastructure as Codewith Terraform (modularized, reusable, multi-cloud) Develop internal automation tooling and scripts (Python, Bash, Go) Implement zero-downtime deployment strategies Platform Services Deploy and manage productionMongoDB, ElasticSearch, and other core services Package and deploy workloads usingHelm, Docker, and GitOps pipelines Ensure99%+ uptime SLAthrough robust monitoring and incident response Support delivery of AI containerized solutions ready for customer environments Reliability & Observability Build comprehensive observability across all platform components Implement security best practices and compliance requirements Drive post-incident reviews and continuous improvement

Must Have 5+ yearsas a DevOps, SRE, or Platform Engineer in production environments Strong hands-on Kubernetes experience(GKE and/or EKS) managing clusters at scale Expert-level Terraformand Infrastructure as Code workflows Multi-cloud experiencewith both AWS and GCP Proven experience withCI/CD, GitOps, ArgoCD, Argo Workflows SolidDocker and Helmexpertise for containerized deployments Strong scripting/programming skillsin Python and Bash Experience runningproduction-grade, scalable, and securecloud systems Comfortable with incident response and on-call responsibilities Nice to Have Programmingfor tooling development (Python, bash, Go, ...) Experience withobservability stacks(Prometheus, Grafana, Elastic, OpenTelemetry) Hands-on withAI/ML workloadsin containerized environments MongoDB and ElasticSearchoperations at scale Experience withcost optimizationstrategies in cloud environments Contributions to open-source DevOps/platform projects AWS/GCP certifications

Competitive salarypackage Fully remote work with flexible hours 23 daysof vacation + Spanish public holidays Growth & Impact Real ownership - your decisions shape the platform's future Work directly with leadership on technical strategy Continuous learning with modern cloud-native, DevOps, and AI tooling Opportunity to mentor and grow the team as we scale Visible impact on products used by enterprise customers Work Culture Engineering-driven culture that values automation and best practices Async-first communication (we respect work-life balance) Blameless post-mortems and learning from incidents Regular team knowledge-sharing sessions and open cooperation ?? Interview Process Initial call(30 min) Technical interview(60 min) Final interview

We build and operate a fully-automated Speech Analytics SaaS platform running on Kubernetes across AWS and GCP. Our infrastructure processes ~160,000 hours of audio monthly with 99%+ uptime SLA, serving enterprise customers with mission-critical analytics needs. Our platform is built on modern, cloud-native technology: Kubernetes, Argo ecosystem, MongoDB, ElasticSearch, and 100% Terraform-driven Infrastructure as Code. We auto-scale from dozens to over 1,000 kubernetes nodes based on demand. Beyond our core SaaS product, we deliver managed solutions (Autopilot and Copilot platforms) and build AI-based services packaged as containerized, Terraform-ready modules for seamless integration into customer cloud environments (AWS, GCP, Azure). We're a teamthat values strong engineering practices, automation-first mindset, and operational excellence.