Senior DevOps / Platform Engineer

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 major 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., 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

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

• 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

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.