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., * 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.
• 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.
• 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.
• 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.
• 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.