Senior Devops / Platform Engineer

Strategy Big Data; A distancia; EUR 30.000 - 50.000; Jornada completa

Descripción de la vacante

A leading tech company is seeking a Senior Dev Ops / Platform Engineer to design and maintain their cloud-native platform. The role offers real ownership and direct interaction with leadership on platform strategy. Ideal candidates will have extensive experience with Kubernetes, AWS, and GCP alongside strong skills in Terraform and CI/CD workflows. This role is fully remote based in Spain, offering a competitive salary, flexible hours, and significant opportunities for growth within a collaborative engineering-driven culture.

Servicios

Competitive salary package

Fully remote work with flexible hours

23 days of vacation + Spanish public holidays

Formación

• 5+ years as a Dev Ops, SRE, or Platform Engineer in production environments.
• Strong hands-on Kubernetes experience managing clusters at scale.
• Expert-level Terraform and Infrastructure as Code workflows.

Responsabilidades

• Design, build, and maintain multi-cloud infrastructure on AWS and GCP.
• Manage Kubernetes clusters at scale.
• Implement CI/CD workflows and automation.

Conocimientos

Kubernetes

Terraform

CI/CD

AWS

GCP

Docker

Python

Bash

Herramientas

Argo CD

Elastic Search

Mongo DB

Helm

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, Mongo DB, Elastic Search, 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 Dev Ops / 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 or 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 ~1 K nodes)
• Lead infrastructure modernization and cloud migration initiatives
• Implement cost optimization strategies across cloud providers

Automation & CI/CD

• Manage Argo Workflows and Argo CD for Git Ops‑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 Mongo DB, Elastic Search, and other core services
• Package and deploy workloads using Helm, Docker, and Git Ops 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 Dev Ops, 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, Git Ops, Argo CD, 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, Open Telemetry)
• Hands‑on with AI/ML workloads in containerized environments
• Mongo DB and Elastic Search operations at scale
• Experience with cost optimization strategies in cloud environments
• Contributions to open‑source Dev Ops/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, Dev Ops, 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 ******