
11 - 50 employees
Founded 2025
π€ Artificial Intelligence
βοΈ SaaS
Artificial Intelligence β’ Cloud Computing β’ 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.
π December 17, 2025
AWS
Azure
Cloud
Distributed Systems
Docker
Google Cloud Platform
Grafana
GRPC
Kafka
Kubernetes
Microservices
MySQL
Postgres
Prometheus
RabbitMQ
Redis
Terraform
Go
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11 - 50 employees
Founded 2025
π€ Artificial Intelligence
βοΈ SaaS
Artificial Intelligence β’ Cloud Computing β’ 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.
β’ Build and maintain platform services across AION's Compute and Inference platforms, working closely with senior engineers and platform leads β’ Implement features for multi-cloud orchestration, resource scheduling, model deployment pipelines, and autoscaling systems β’ Write well-maintained, production-grade code with proper abstractions, design patterns, and comprehensive test coverage β’ Contribute to low-level design (LLD) including service APIs, database schema design, data models, and component interactions β’ Collaborate with senior engineers on high-level design discussions, providing implementation perspectives and feasibility inputs β’ Develop RESTful APIs and gRPC services for platform control planes, resource management, and inference serving β’ Design and implement database schemas for storing platform state, resource metadata, billing data, and observability metrics β’ Work with distributed storage systems, message queues (Kafka, RabbitMQ), and databases (PostgreSQL, Redis) to build reliable platform components β’ Build event-driven architectures for asynchronous processing, job scheduling, and platform automation β’ Implement monitoring, logging, and alerting for platform services to ensure production reliability β’ Write comprehensive unit tests, integration tests, and end-to-end tests to ensure code reliability β’ Participate in code reviews, providing constructive feedback and learning from senior engineers' perspectives β’ Refactor existing code to improve maintainability, performance, and scalability β’ Document design decisions, API specifications, and operational runbooks for platform services β’ Debug production issues and contribute to incident response and post-mortems
β’ 2-4 years of experience in backend engineering, platform development, or distributed systems β’ Strong proficiency in Golangβyou write idiomatic Go code with proper error handling, concurrency patterns, and testing β’ Solid understanding of backend systems fundamentals: RESTful APIs, microservices architecture, and API design principles β’ Hands-on experience with databases (PostgreSQL, MySQL) including schema design, query optimization, and transactions β’ Familiarity with storage systems (object storage like S3, block storage, distributed file systems) and their use cases β’ Experience working with message queues (Kafka, RabbitMQ, NATS) and event-driven architectures β’ Understanding of distributed systems concepts: consensus, eventual consistency, fault tolerance, and retry mechanisms β’ Experience with containerization (Docker) and basic Kubernetes concepts β’ Knowledge of testing frameworks and practices (unit tests, integration tests, mocking) β’ Familiarity with Git, CI/CD pipelines, and modern development workflows β’ Exposure to cloud platforms (AWS/GCP/Azure) and their core services is a plus β’ Experience with infrastructure-as-code (Terraform) or observability tools (Prometheus, Grafana) is beneficial
β’ **Preferred Attributes:** β’ - Founder-level ownership and bias for action. β’ - Strong strategic thinking and ability to connect technical decisions to business impact. β’ - Excellent communication and mentoring skills. β’ - Thrives in ambiguity, fast-paced environments, and early-stage startup culture. β’ **Why Join AION?** β’ - Work directly with high-pedigree founders shaping technical and product strategy. β’ - Build infrastructure powering the future of AI compute globally. β’ - Significant ownership and impact with equity reflective of your contributions. β’ - Competitive compensation, flexible work options, and wellness benefits
Apply Nowπ December 9, 2025
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