Senior DevOps

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 team that values strong engineering practices, automation-first mindset, and operational excellence.About the RoleWe'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 major AWS → GCP migration to 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 & 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 providersAutomation & 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 strategiesPlatform 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 environmentsReliability & Observability- Build comprehensive observability across all platform components - Implement security best practices and compliance requirements - Drive post-incident reviews and continuous improvement✅ RequirementsMust 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 responsibilitiesNice 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 certificationsWhat We OfferCompensation & Benefits- Competitive salary package - Fully remote work with flexible hours - 23 days of vacation + Spanish public holidaysGrowth & 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 customersWork 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 cooperationInterview Process- Initial call (30 min) - Technical interview (60 min) - Final interviewTimeline: Typically 2-3 weeks from application to offerHow to ApplyApply here or send your CV and a brief note about what excites you about this role to itzel.arroniz@strategybigdata.com