Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

aion is the Enterprise AI Platform, a full-stack solution for building, fine-tuning, deploying, and forward-deploying AI for enterprises at scale. We forward-deploy AI for enterprises, enabling organizations to rapidly implement production-ready AI solutions. We're a fast-growing, VC-backed startup led by founders with a track record of successful exits.

Responsibilities

• Build and maintain platform services across aion's Compute and Inference platforms.
• Implement features for multi-cloud orchestration, resource scheduling, model deployment pipelines, and autoscaling systems.
• Write well-maintained, production-grade code with proper abstractions, design patterns, and comprehensive test coverage.
• Contribute to low-level design (LLD) including service APIs, database schema design, data models, and component interactions.
• Collaborate with senior engineers on high-level design discussions, providing implementation perspectives and feasibility inputs.
• Develop RESTful APIs and gRPC services for platform control planes, resource management, and inference serving.
• Design and implement database schemas for storing platform state, resource metadata, billing data, and observability metrics.
• Work with distributed storage systems, message queues (Kafka, RabbitMQ), and databases (PostgreSQL, Redis) to build reliable platform components.
• Build event-driven architectures for asynchronous processing, job scheduling, and platform automation.
• Implement monitoring, logging, and alerting for platform services to ensure production reliability.
• Write comprehensive unit tests, integration tests, and end-to-end tests to ensure code reliability.
• Participate in code reviews, providing constructive feedback and learning from senior engineers' perspectives.
• Refactor existing code to improve maintainability, performance, and scalability.
• Document design decisions, API specifications, and operational runbooks for platform services.
• Debug production issues and contribute to incident response and post-mortems.

Requirements

• 2-4 years of experience in backend engineering, platform development, or distributed systems.
• Strong proficiency in Golang you write idiomatic Go code with proper error handling, concurrency patterns, and testing.
• Solid understanding of backend systems fundamentals: RESTful APIs, microservices architecture, and API design principles.
• Hands-on experience with databases (PostgreSQL, MySQL) including schema design, query optimization, and transactions.
• Familiarity with storage systems (object storage like S3, block storage, distributed file systems) and their use cases.
• Experience working with message queues (Kafka, RabbitMQ, NATS) and event-driven architectures.
• Understanding of distributed systems concepts: consensus, eventual consistency, fault tolerance, and retry mechanisms.
• Experience with containerization (Docker) and basic Kubernetes concepts.
• Knowledge of testing frameworks and practices (unit tests, integration tests, mocking).
• Familiarity with Git, CI/CD pipelines, and modern development workflows.
• High ownership, self driven and biased 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.

Skills

• Golang
• RESTful APIs
• gRPC
• PostgreSQL
• MySQL
• Redis
• Kafka
• RabbitMQ
• NATS
• Docker
• Kubernetes
• Git
• CI/CD
• HPC & Cluster Management
• Data Engineering
• Systems-Level Programming
• ML Platform Engineering
• Enterprise Deployment

Experience Level

• 2-4 years

Benefits

• Competitive compensation
• Flexible work options
• Wellness benefits

About the Company

• aion is the Enterprise AI Platform, a full-stack solution for building, fine-tuning, deploying, and forward-deploying AI for enterprises at scale.
• By abstracting away infrastructure complexity, aion unifies compute orchestration, training workflows, data pipelines, model versioning, and deployment into a streamlined enterprise experience.
• We're a fast-growing, VC-backed startup led by founders with a track record of successful exits.
• With teams across the US, UK, and India, we're building the next generation of enterprise AI infrastructure and are looking for exceptional people to help us scale.