Software Engineer

aion

. Build and maintain platform services across aion's Compute and Inference platforms, working closely with senior engineers and platform leads .

Posted 7/14/2026full-timeLondon • 🇬🇧 United KingdomJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong proficiency in Golang for backend engineering, with expertise in RESTful APIs, microservices architecture, and distributed systems. Capable of designing and implementing robust platform services, including database schemas, event-driven architectures, and comprehensive testing practices.

Highest-signal resume keywords

Golang ProgrammingRESTful API DevelopmentDatabase Schema DesignEvent-Driven ArchitectureContainerization (Docker)

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Hard Skills

Backend EngineeringDistributed SystemsMicroservices ArchitectureAPI Design PrinciplesSchema DesignQuery OptimizationConcurrency PatternsTesting FrameworksInfrastructure-as-Code (Terraform)HPC & Cluster Management

Soft Skills

CollaborationCode ReviewProblem SolvingDocumentation

Tools & Technologies

PostgreSQLMySQLKafkaRabbitMQDockerKubernetesAWSGCPAzurePrometheus

Industry Keywords

Cloud PlatformsObservability ToolsData EngineeringML Platform EngineeringEnterprise Deployment

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsDockerETLGoGoogle Cloud PlatformGrafanaGRPCKafkaKubernetesMicroservicesMySQLPostgresPrometheusRabbitMQRedisTerraform

About the role

Key responsibilities & impact

Build and maintain platform services across aion's Compute and Inference platforms, working closely with senior engineers and platform leads
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

What you’ll need

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
Exposure to cloud platforms (AWS/GCP/Azure) and their core services is a plus
Experience with infrastructure-as-code (Terraform) or observability tools (Prometheus, Grafana) is beneficial
Bonus/ Good to Have
HPC & Cluster Management: Experience handling large-scale HPC clusters using Kubernetes and Slurm for job scheduling, resource allocation, and workload orchestration
Data Engineering: Expertise with data pipelines, ETL systems, and large-scale data processing frameworks
Systems-Level Programming: Experience with low-level systems programming such as storage systems, Kubernetes operators, OS-level software development, or daemon services (llm-d, system agents)
ML Platform Engineering: Experience productionizing ML pipelines, batch job orchestration, model fine-tuning workflows, and Jupyter notebook orchestration systems
Enterprise Deployment: Experience platformizing and packaging software for on-premises deployments or customer VPC installations with emphasis on security, compliance, and operational simplicity

Benefits

Comp & perks

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.
Work directly with high-pedigree founders shaping technical and product strategy.
Build infrastructure powering the future of AI computers globally.
Significant ownership and impact with equity reflective of your contributions.
Competitive compensation, flexible work options, and wellness benefits