Senior Devops

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.Lea atentamente toda la información sobre esta oportunidad y luego utilice el botón de solicitud de abajo para enviar su CV y su candidatura.Senior DevOps / Platform EngineerYou’ll 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 – 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 or GCP migration to optimize costs and performanceLocation: Fully remote (Spain‑based)Key ResponsibilitiesDesign, build, and maintain multi‑cloud infrastructure on AWS and GCPOperate and optimize Kubernetes clusters (GKE, EKS) at scale (up to ~1,000 nodes)Lead infrastructure modernization and cloud migration initiativesImplement cost‑optimization strategies across cloud providersManage Argo Workflows and ArgoCD for GitOps‑based deploymentsBuild and maintain end‑to‑end infrastructure as code with Terraform (modularized, reusable, multi‑cloud)Develop internal automation tooling and scripts in Python, Bash, and GoImplement zero‑downtime deployment strategiesDeploy and manage production MongoDB, ElasticSearch, and other core servicesPackage and deploy workloads using Helm, Docker, and GitOps pipelinesEnsure 99%+ uptime SLA through robust monitoring and incident responseSupport delivery of AI containerized solutions ready for customer environmentsBuild comprehensive observability across all platform componentsImplement security best practices and compliance requirementsDrive post‑incident reviews and continuous improvementRequirements5+ years as a DevOps, SRE, or Platform Engineer in production environmentsStrong hands‑on Kubernetes experience (GKE and/or EKS) managing clusters at scaleExpert‑level Terraform and infrastructure‑as‑code workflowsMulti‑cloud experience with both AWS and GCPProven experience with CI/CD, GitOps, ArgoCD, and Argo WorkflowsSolid Docker and Helm expertise for containerized deploymentsStrong scripting/programming skills in Python and BashExperience running production‑grade, scalable, and secure cloud systemsComfortable with incident response and on‑call responsibilitiesNice to HaveProgramming for tooling development (Python, Bash, Go)Experience with observability stacks (Prometheus, Grafana, Elastic, OpenTelemetry)Hands‑on with AI/ML workloads in containerized environmentsMongoDB and ElasticSearch operations at scaleExperience with cost‑optimization strategies in cloud environmentsContributions to open‑source DevOps/platform projectsAWS/GCP certificationsCompensation & BenefitsCompetitive salary packageFully remote work with flexible hours23 days of vacation + Spanish public holidaysReal 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 customersEngineering‑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 cooperationInterview ProcessInitial call (30 min)Technical interview (60 min)Final interviewTimelineTypically 2–3 weeks from application to offer. xsgfvud How to ApplyApply here or send your CV and a brief note about what excites you about this role to ******.#J-18808-Ljbffr