Senior DevOps / Platform Engineer

Strategy Big Data; Madrid; A distancia; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A forward-thinking tech company is looking for a Senior DevOps / Platform Engineer to design, automate, and operate their cloud-native platform across AWS and GCP. The ideal candidate will manage Kubernetes clusters and implement CI/CD workflows. Required qualifications include strong experience with cloud-native technologies, Terraform, and automation scripting. This position is fully remote, located in Spain, and offers flexible working hours along with competitive benefits.

Servicios

Fully remote work with flexible hours

23 days of vacation + Spanish public holidays

Continuous learning opportunities

Formación

• 5+ years as a DevOps, SRE, or Platform Engineer.
• Strong hands-on experience managing Kubernetes clusters at scale.
• Expert-level expertise in Infrastructure as Code using Terraform.

Responsabilidades

• Design, build, and maintain multi-cloud infrastructure on AWS and GCP.
• Operate and optimize Kubernetes clusters at scale.
• Implement cost optimization strategies across cloud providers.

Conocimientos

Kubernetes experience

Terraform expertise

AWS and GCP multi-cloud experience

Docker and Helm proficiency

Scripting skills (Python, Bash)

Descripción del empleo

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.

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.

Hands‑on experience with cutting‑edge cloud‑native and AI / ML workloads.

Opportunity to lead a major AWS → GCP migration to optimize costs and performance.

Fully remote (Spain‑based).

Core Responsibilities

• Design, build, and maintain multi‑cloud infrastructure on AWS and GCP.
• Operate and optimize Kubernetes clusters (GKE, EKS) at scale (up to ~1,000 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.

Required Qualifications

• 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.
• 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.
• Programming for tooling development (Python, Bash, Go, …).
• Experience with observability stacks (Prometheus, Grafana, Elastic, OpenTelemetry).
• MongoDB and ElasticSearch operations at scale.
• Experience with cost optimization strategies in cloud environments.
• Contributions to open‑source DevOps/platform projects.
• AWS / GCP certifications.

Benefits & Perks

• Fully remote work with flexible hours.
• 23 days of vacation + Spanish public holidays.
• Continuous learning with modern cloud‑native, DevOps, and AI tooling.