Senior Devops / Platform Engineer

About UsWe 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. About the RoleWe'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 UniqueReal ownership and autonomy - you'll be a key technical decision-makerWork directly with leadership on platform strategyHands-on with cutting-edge cloud-native and AI/ML workloadsOpportunity to lead a major AWS ? GCP migrationto optimize costs and performanceThis 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 ResponsibilitiesInfrastructure & CloudDesign, build, and maintain multi-cloud infrastructure onAWS and GCPOperate and optimizeKubernetes clusters(GKE, EKS) at scale (up to ~1K nodes)Lead infrastructure modernization and cloud migration initiativesImplement cost optimization strategies across cloud providersAutomation & CI/CDManageArgo Workflows and ArgoCDfor GitOps-based deploymentsBuild 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 strategiesPlatform ServicesDeploy and manage productionMongoDB, ElasticSearch, and other core servicesPackage and deploy workloads usingHelm, Docker, and GitOps pipelinesEnsure99%+ uptime SLAthrough robust monitoring and incident responseSupport delivery of AI containerized solutions ready for customer environmentsReliability & ObservabilityBuild comprehensive observability across all platform componentsImplement security best practices and compliance requirementsDrive post-incident reviews and continuous improvementRequirementsMust Have5+ yearsas a DevOps, SRE, or Platform Engineer in production environmentsStrong hands-on Kubernetes experience(GKE and/or EKS) managing clusters at scaleExpert-level Terraformand Infrastructure as Code workflowsMulti-cloud experiencewith both AWS and GCPProven experience withCI/CD, GitOps, ArgoCD, Argo WorkflowsSolidDocker and Helmexpertise for containerized deploymentsStrong scripting/programming skillsin Python and BashExperience runningproduction-grade, scalable, and securecloud systemsComfortable with incident response and on-call responsibilitiesNice to HaveProgrammingfor tooling development (Python, bash, Go, ...)Experience withobservability stacks(Prometheus, Grafana, Elastic, OpenTelemetry)Hands-on withAI/ML workloadsin containerized environmentsMongoDB and ElasticSearchoperations at scaleExperience withcost optimizationstrategies in cloud environmentsContributions to open-source DevOps/platform projectsAWS/GCP certifications What We OfferCompensation & BenefitsCompetitive salarypackageFully remote work with flexible hours23 daysof vacation + Spanish public holidaysGrowth & ImpactReal ownership - your decisions shape the platform's futureWork directly with leadership on technical strategyContinuous learning with modern cloud-native, DevOps, and AI toolingOpportunity to mentor and grow the team as we scaleVisible impact on products used by enterprise customersWork CultureEngineering-driven culture that values automation and best practicesAsync-first communication (we respect work-life balance)Blameless post-mortems and learning from incidentsRegular team knowledge-sharing sessions and open cooperation Interview ProcessInitial call(30 min)Technical interview(60 min)Final interviewTimelineTypically 2-3 weeks from application to offer How to ApplyApply here or send your CV and a brief note about what excites you about this role to ******