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 majo

r 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

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

cost optimization

strategies in cloud environments

Contributions to open-source DevOps/platform projects

AWS/GCP certifications

o What We Offer 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

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).