Senior Devops / Platform Engineer

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

Descripción de la vacante

A cloud-native technology firm in Spain seeks a Senior DevOps / Platform Engineer to design and automate their cutting-edge platform across AWS and GCP. You'll manage Kubernetes at scale, implement CI/CD processes, and have ownership over key platform decisions. This fully remote role offers a competitive salary, flexible hours, and 23 days of vacation alongside public holidays, contributing to impactful products for enterprise customers.

Servicios

Competitive salary package

Flexible work hours

23 days of vacation + Spanish public holidays

Formación

• 5+ years as a DevOps, SRE, or Platform Engineer in production environments.
• Strong hands-on Kubernetes experience managing clusters at scale.
• Expert-level Terraform and Infrastructure as Code workflows.
• Multi-cloud experience with AWS and GCP required.

Responsabilidades

• Design and maintain multi-cloud infrastructure on AWS and GCP.
• Optimize Kubernetes clusters at scale.
• Implement CI/CD workflows using Argo Workflows.
• Develop internal automation tooling and scripts.
• Ensure uptime through monitoring and incident response.

Conocimientos

Kubernetes management

Terraform

CI/CD workflows

Python

Bash

AWS

GCP

Docker

Helm

Herramientas

ArgoCD

Prometheus

Grafana

ElasticSearch

Descripción del empleo

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 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.

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

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 ******