Senior Devops

About Us 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 team that values strong engineering practices, automation-first mindset, and operational excellence.About the Role We're looking for a Senior DevOps / Platform Engineer to 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 majo r AWS ? GCP migration to 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 on AWS and GCP Operate and optimize Kubernetes 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 Manage Argo Workflows and ArgoCD for GitOps-based deployments Build and maintain end-to-end Infrastructure as Code with Terraform (modularized, reusable, multi-cloud) Develop internal automation tooling and scripts (Python, Bash, Go) Implement zero-downtime deployment strategies Platform Services Deploy and manage production MongoDB, ElasticSearch , and other core services Package and deploy workloads using Helm, Docker , and GitOps pipelines Ensure 99%+ uptime SLA through 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 Requirements Must Have 5+ years as a DevOps, SRE, or Platform Engineer in production environments Strong hands-on Kubernetes experience (GKE and/or EKS) managing clusters at scale Expert-level Terraform and Infrastructure as Code workflows Multi-cloud experience with both AWS and GCP Proven experience with CI/CD, GitOps, ArgoCD, Argo Workflows Solid Docker and Helm expertise for containerized deployments Strong scripting/programming skills in Python and Bash Experience running production-grade, scalable, and secure cloud systems Comfortable with incident response and on-call responsibilities Nice to Have Programming for tooling development (Python, bash, Go, ...) Experience with observability stacks (Prometheus, Grafana, Elastic, OpenTelemetry) Hands-on with AI/ML workloads in containerized environments MongoDB and ElasticSearch operations at scale Experience with cost optimization strategies in cloud environments Contributions to open-source DevOps/platform projects AWS/GCP certifications What We Offer Compensation & Benefits Competitive salary package Fully remote work with flexible hours 23 days of 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 Timeline: Typically 2-3 weeks from application to offer How to Apply Apply here or send your CV and a brief note about what excites you about this role to ******