Platform Engineer

ABOUT ELEMYNT

ELEMYNT is an early-stage startup built by Xora Innovation. We develop applied intelligence that brings AI into the real world. Our platform combines advanced machine learning, high-performance simulation, and modern software engineering to accelerate the design, validation, and deployment of new materials. Our work sits at the intersection of AI, physics, and large-scale computation. The problems are hard, the stakes are high, and the impact is tangible. 

ABOUT THE ROLE

This role builds what the rest of Elemynt’s engineering runs on: the cloud infrastructure, the core platform services, and the observability that keeps the product reliable. The platform runs wherever each customer chooses, whether that’s their cloud, their own compute, or a hybrid, and usually inside environments they operate themselves. That’s the hard part. The foundations you build have to be reproducible, measurable, and carry their own security wherever they land. 

This is a deeply hands-on, build-focused senior role. In this role, you’ll design and own the cloud substrate, the services at the core of the product, and the metrics, logs, and traces that keep all of it visible. Those building blocks are what gets packaged and deployed wherever the platform needs to run, so the care you put in shows up in every install. How fast and how safely the whole company can ship depends on how solid these foundations are. 

WHAT YOU WILL DO

• Build and own the cloud infrastructure foundations (networking, identity and access, Kubernetes, and infrastructure-as-code) that every service and workload runs on. 
• Design and build the core platform services and internal APIs the product is made of, meant to run reliably wherever it’s deployed. 
• Own the cloud deployment process end to end: the pipeline that turns platform services into versioned, reproducible artifacts and rolls them out with staged releases and clean rollbacks. 
• Stand up the observability layer: metrics, logs, traces, dashboards, and alerting that make a failing service quick to find and diagnose. 
• Instrument service-level objectives and health signals so reliability is measurable and regressions show up before they reach a customer. 
• Keep the foundations portable and reproducible, so the platform stands up the same way across every environment it runs in. 
• Produce the deployment-ready building blocks (container images, Helm charts, infrastructure-as-code modules) that make installs and upgrades clean and repeatable wherever the platform runs. 
• Harden the platform’s foundations: secrets, certificate handling, and network boundaries that protect the software and its data wherever it runs.