
Cloud Native Sustainability Engineer
3 days ago
We are a forward-thinking team with a mission to revolutionize the industry by harnessing technology and promoting sustainability.
Our platform is an AI-driven, cloud-based system transforming local production and delivery — with zero physical assets. We power:
- Global production orchestration: connecting customers to partners across the globe. From AI-guided design to smart logistics, we deliver products to millions in under 72 hours—faster, greener, smarter.
- GelatoConnect: our AI-powered 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.
We are not just early adopters of AI — we're AI-native builders. Across engineering, product, and operations, we leverage AI to accelerate innovation:
- AI-first development using large language models 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 requirements gathering, agent orchestration, prompt engineering, and model fine-tuning.
This role involves ensuring 24/7 platform operations, including on-call support and incident response. You will also build and evolve AI agents that automate scaling, recovery, and diagnostics through control-plane patterns and event-driven logic. Additionally, you will manage multi-cloud infrastructure, including serverless, through declarative, automated workflows.
The ideal candidate has a deep understanding of Linux fundamentals and experience with cloud platforms (AWS primary) and Google Cloud Platform (bonus), including cost optimizations, containerization, networking, storage, VPC peering, IAM, and related services. They should also have hands-on experience with GitOps workflows (e.g., ArgoCD) and Infrastructure as Code using Terraform. Proficiency in Python, Go, or other languages is required, with a willingness to learn Go if not already familiar.
Experience with or strong interest in building AI agents and workflow automation is essential, with a commitment to learning if needed.
We pride ourselves on our global presence with multiple 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 collaborate and grow together.
This is a remote position, allowing you to work from anywhere. Your salary will be paid in USD, and your CV should be uploaded in English.
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