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Senior Platform Engineer
Gelato
Berlin
Sur place
EUR 60 000 - 90 000
Plein temps
Il y a 30+ jours

Résumé du poste

Gelato is seeking a dedicated Operations Engineer to ensure the reliability of its AI-driven platform. The role involves managing complex multi-cloud infrastructures and developing AI agents to enhance service delivery. Candidates should have strong backgrounds in AWS and Linux, with a passion for operational excellence and AI technologies.

Qualifications

  • Deep understanding of Linux processes, filesystems, and networking.
  • Extensive experience with AWS, including EKS and IAM.
  • Hands-on experience with GitOps and Infrastructure as Code.

Responsabilités

  • Ensure 24/7 platform operations and incident response.
  • Build AI agents for scaling and recovery.
  • Manage multi-cloud infrastructure through automated workflows.

Connaissances

Linux fundamentals
AWS
Kubernetes internals
GitOps workflows
Python
Go
AI development tools

Outils

Terraform
Description du poste

Gelato has created the world’s largest global network for on-demand production of custom products – from t-shirts and mugs to books and wall art. We empower a new generation of ecommerce entrepreneurs to share their creativity worldwide while embracing local, sustainable production. By producing locally and perfectly matching supply with demand, we eliminate waste and reduce carbon emissions.

At Gelato, we don’t own production facilities – we build the software that connects them. With over 140 production partners in 32 countries, our network can deliver custom products to five billion people in just 72 hours. It’s smarter, faster, and greener.

With GelatoConnect, our SaaS platform, we’re driving innovation in print production. GelatoConnect simplifies operations for print producers by automating procurement, workflows, and logistics into one seamless system. By boosting efficiency and cutting costs, it helps businesses scale to meet market demands. With GelatoConnect, we’re reshaping the print industry to be more efficient, sustainable, and profitable.

Platform

Gelato is an AI-first , cloud-native platform transforming local, on-demand production and delivery — with zero physical assets. We power :

  • Global production orchestration : connecting e-commerce customers to 130+ partners across 32 countries. From AI-guided plate design to smart routing and logistics, we deliver to over 5billion people in under 72 hours—faster, greener, smarter.
  • GelatoConnect : our AI-driven print production OS that helps producers master digital printing — from inventory to shipping — by automating every step : procurement, prepress, printing, packaging, and dispatch. It’s machine-agnostic, real-time, and built for uptime, precision, and profitability.

AI at the Core

We are not just early adopters of AI — we’re AI-native builders . Across engineering, product, and operations, we embrace AI to accelerate innovation :

  • AI-first development using LLMs for code generation, testing, documentation, and design exploration.
  • Autonomous AI agents driving platform resilience, observability, cost control, and internal workflow automation.
  • AI-native product features built into GelatoConnect and the core platform — improving routing, personalization, and production optimization.
  • A culture of continuous experimentation with RAG, agent orchestration, prompt engineering, and model fine-tuning.

Responsibilities

  • Ensure 24 / 7 platform operations, including on-call support and incident response.
  • Build and evolve AI agents that automate scaling, recovery, and diagnostics through control-plane patterns and event-driven logic.
  • Manage multi-cloud infrastructure , including serverless, through declarative, automated workflows.
  • Collaborate with the Delivery Platform team to improve DevEx with intelligent internal tooling.
  • Drive reliability, observability, and cost-efficiency across Gelato’s global infrastructure.
  • Enable engineers with self-service, secure, and scalable delivery pipelines .

Qualifications

  • Deep understanding of Linux fundamentals (processes, I / O, filesystems, networking, memory management, system internals).
  • Deep experience with AWS (primary) and GCP (bonus), including cost optimizations, EKS, networking, S3, VPC peering, IAM, and related services.
  • Strong understanding of Kubernetes internals , including networking, security, and cluster operations.
  • Hands-on experience with GitOps workflows (e.g. ArgoCD) and Infrastructure as Code using Terraform.
  • Proficient in Python, Go , or other languages — with a willingness to learn Go if not already familiar.
  • Comfortable using AI development tools like Cursor, Claude, and coding with LLMs.

Experience with or strong interest in building AI agents and RAG workflows , with a commitment to learn if needed.

What it’s like to work at Gelato

We are a customer-obsessed team with the ambition to change the world by connecting technology to the printing industry and making it much more sustainable. Everyone who joins our team must feel genuinely intrigued and motivated by our mission. We expect a lot. We are a driven team with big goals, so we seek individuals who are genuinely passionate about their work and possess an entrepreneurial spirit. Our culture is unique and we live by our values, so it's worth learning more about our culture and how we work before presenting your application.

At Gelato, we pride ourselves on our global presence with 14 offices worldwide, fostering a dynamic and diverse work environment. Rooted in a culture that values collaboration, creativity, and camaraderie, we actively cultivate a company culture that thrives on shared experiences. We encourage team members to embrace this culture by working from our inspiring office spaces at least three days a week, allowing for meaningful connections and collective growth.

Lastly, we ask that you please upload your CV in English , regardless of which country you are applying from.

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* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.

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