Cloud Platform Engineer / DevOps

Valuematic; Lucca; Remoto; EUR 40.000 - 80.000; Tempo pieno

Descrizione del lavoro

An innovative firm is seeking a Cloud Platform Engineer to join their dynamic team. This role focuses on building and optimizing autoscaling solutions across major cloud platforms like AWS, Azure, and GCP. You will be responsible for managing Kubernetes clusters, enhancing CI/CD pipelines, and collaborating with cross-functional teams to ensure efficient resource management. This position offers a remote-first work environment and the chance to tackle challenging infrastructure problems, making a direct impact on the company's technical strategy. If you thrive in a fast-paced startup culture and are passionate about cloud technologies, this opportunity is perfect for you.

Servizi

Competitive salary and performance-based incentives

Remote-first work environment

Flexible hours

Opportunity to work on challenging problems

Direct impact on product direction

Fast-paced startup culture

Competenze

• Solid experience with Kubernetes and container orchestration.
• Strong knowledge of at least one major cloud provider is essential.
• Proven experience with CI/CD and automated deployment pipelines.

Mansioni

• Provision and manage production-grade Kubernetes clusters.
• Build and maintain CI/CD workflows using GitHub Actions or similar.
• Implement observability across services using Prometheus and Grafana.

Conoscenze

Kubernetes

CI/CD

Cloud Cost Optimization

Python

GitOps

Observability Tools

Shell Scripting

Go

Strumenti

AWS

Azure

GCP

Docker

GitHub Actions

ArgoCD

Prometheus

Grafana

ELK

Loki

Descrizione del lavoro

About Valuematic

Valuematic is building state-of-the-art autoscaling solutions for cloud-native environments. We focus on intelligent, adaptive scaling across AWS, Azure, and GCP, helping engineering teams optimize for both performance and cost—without sacrificing reliability.

We're a small, focused team of engineers working on tough infrastructure problems at scale. If you enjoy automating everything, digging into resource metrics, and shipping resilient systems, you’ll feel right at home.

Role Overview

As a Cloud Platform Engineer, you’ll work on the infrastructure powering our autoscaler technology. This includes managing Kubernetes clusters, optimizing cloud environments, and improving CI/CD pipelines for reliable, automated deployments.

You’ll collaborate closely with our backend and AI/ML teams to ensure infrastructure supports dynamic workloads and intelligent autoscaling.

Your Responsibilities:

• Provision and manage production-grade Kubernetes clusters (AKS, EKS, GKE)
• Build and maintain CI/CD workflows (GitHub Actions, ArgoCD, or equivalent)
• Implement observability across services (Prometheus, Grafana, ELK, Loki)
• Tune autoscaling configurations and cost/performance trade-offs
• Improve our internal DevOps practices, deployment strategies, and tooling
• Collaborate with engineers to ensure scalable, cost-efficient systems

Our Stack

• Cloud: AWS, Azure, GCP (multi-cloud focus)
• Orchestration: Kubernetes, Helm
• CI/CD: GitHub Actions, ArgoCD, Docker
• Monitoring: Prometheus, Grafana, ELK, Loki
• Languages: Python, shell, Go (optional, but helpful)

What We’re Looking For

• Solid experience with Kubernetes and container orchestration
• Strong hands-on knowledge of at least one major cloud provider (multi-cloud is a plus)
• Proven experience with CI/CD, GitOps, and automated deployment pipelines
• Working knowledge of autoscaling strategies and cloud cost optimization
• Familiarity with modern observability tooling
• Bonus: experience supporting AI/ML pipelines or dynamic workloads

Perks & Benefits

• Competitive salary and performance-based incentives
• Remote-first work environment with flexible hours
• Opportunity to work on technically challenging problems in cloud infrastructure
• Direct impact on product direction and technical strategy
• A fast-paced, no-bureaucracy startup culture

Why Join Valuematic?

• Develop mission-critical systems for real-time autoscaling
• Work in a multi-cloud, data-driven environment
• Growth opportunities in an AI-powered, cloud-native start-up

Interested?

Send us your GitHub/GitLab profile or a few notes about what infrastructure projects you’ve built or managed. We care more about hands-on experience and problem-solving than perfect resumes.

Find out more at: https://www.valuematic.it/en/work-with-us/