Senior Devops / Platform Engineer

Strategy Big Data; A distancia; MXN 1,439,000 - 2,160,000; Jornada completa

Descripción de la vacante

A leading tech company is seeking a Senior DevOps / Platform Engineer to design, automate, and operate our cloud-native platform. This role offers real ownership and an opportunity to lead key technical decisions while working with state-of-the-art technology across AWS and GCP. You will manage Kubernetes, implement CI/CD workflows, and develop automation tools, ensuring high reliability for critical enterprise solutions. Competitive salary and numerous benefits are provided, including fully remote work and flexible hours.

Servicios

Competitive salary package

Fully remote work

23 days of vacation

Flexible hours

Formación

• 5+ years of experience as a DevOps, SRE, or Platform Engineer.
• Strong hands-on experience managing Kubernetes clusters at scale.
• Expert-level knowledge of Terraform and Infrastructure as Code.
• Proficiency in CI/CD, GitOps, and relevant tools.

Responsabilidades

• Design and maintain cloud infrastructure on AWS and GCP.
• Optimize Kubernetes clusters at scale.
• Lead cloud migration initiatives and implement optimization strategies.
• Develop end-to-end Infrastructure as Code.

Conocimientos

Kubernetes management

Terraform expertise

CI/CD workflows

Scripting in Python

Docker proficiency

Multi-cloud experience

Herramientas

AWS

GCP

ArgoCD

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, 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 ******