
11 - 50 employees
Founded 2025
🤖 Artificial Intelligence
☁️ SaaS
Artificial Intelligence • Cloud Computing • SaaS
aion is the first truly on-demand infrastructure platform for AI builders, providing instant, scalable compute with true on-demand GPUs. The platform simplifies the AI development process by integrating data management, model training, and deployment into one seamless workspace, eliminating delays caused by compute bottlenecks. With a vertically integrated approach to hardware and services, aion aims to empower AI innovators with reliable access to resources, fair pricing, and absolute transparency without commitments or hidden costs.
🕒 December 17, 2025
AWS
Azure
Cloud
Distributed Systems
EC2
Google Cloud Platform
Grafana
Kafka
Kubernetes
Postgres
Prometheus
Python
RabbitMQ
Redis
Rust
Terraform
Go
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11 - 50 employees
Founded 2025
🤖 Artificial Intelligence
☁️ SaaS
Artificial Intelligence • Cloud Computing • SaaS
aion is the first truly on-demand infrastructure platform for AI builders, providing instant, scalable compute with true on-demand GPUs. The platform simplifies the AI development process by integrating data management, model training, and deployment into one seamless workspace, eliminating delays caused by compute bottlenecks. With a vertically integrated approach to hardware and services, aion aims to empower AI innovators with reliable access to resources, fair pricing, and absolute transparency without commitments or hidden costs.
• Design and architect AION's multi-cloud compute platform, building abstraction layers that unify diverse cloud providers (AWS, GCP, Azure, bare-metal data centers) • Work directly with cloud providers to expand AION's compute pool—understanding pricing, availability zones, GPU types, and capacity planning • Build and maintain the AION managed services • Understand and abstract cloud provider differences in storage (block, object, file systems), networking (VPCs, subnets, security groups), and compute resources • Design composable platform components that enable forward deployments and promote reusability across AION's infrastructure stack • Own end-to-end development of managed services on the compute platform—from design and architecture through execution and production monitoring • Build scalable orchestration systems for GPU workloads, container scheduling, and resource allocation • Develop robust APIs and control planes for compute lifecycle management (provisioning, scaling, termination) • Lead technical discussions on platform reliability, performance optimization, and cost efficiency • Execute on peripheral platform services including billing systems, usage accounting, observability infrastructure, and compliance tooling • Build monitoring and telemetry systems for compute utilization, cost tracking, and performance metrics • Establish engineering standards for platform development including code reviews, quality gates, and testing practices • Mentor engineers on infrastructure best practices and distributed systems design
• 4+ years of experience building and scaling complex backend systems, cloud infrastructure, or distributed platforms • Strong understanding of multi-cloud architectures and experience working with AWS, GCP, or Azure at scale • Deep knowledge of cloud abstractions: compute (EC2, GCE, VMs), storage (S3, GCS, EBS), networking (VPCs, load balancers, security groups) • Proficiency in Golang strongly preferred; Python, Rust, or other systems languages a plus • Experience with Kubernetes, container orchestration, and infrastructure-as-code (Terraform, Pulumi, CloudFormation) • Solid understanding of distributed systems principles, consensus algorithms, and state management • Experience building APIs, control planes, and platform services for infrastructure management • Familiarity with databases (PostgreSQL, Redis, etcd), message queues (Kafka, RabbitMQ), and event-driven architectures • Knowledge of GPU orchestration, AI/ML workloads, or HPC systems is highly desirable • Experience with observability tools (Prometheus, Grafana, Datadog) and distributed tracing • Understanding of cloud billing models, cost optimization strategies, and resource scheduling
• **Preferred Attributes:** • - High ownership, self driven and bias for action. • - Strong strategic thinking and ability to connect technical decisions to business impact. • - Excellent communication and mentoring skills. • - Thrives in ambiguity, fast-paced environments, and early-stage startup culture. • **Why Join AION?** • - Work directly with high-pedigree founders shaping technical and product strategy. • - Build infrastructure powering the future of AI compute globally. • - Significant ownership and impact with equity reflective of your contributions. • - Competitive compensation, flexible work options, and wellness benefits
Apply Now🕒 December 9, 2025
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