Note: The job is a remote job and is open to candidates in USA. 24-MAG LLC offers an independent consulting opportunity for a Senior Platform Engineer supporting an AI training and cloud-infrastructure evaluation project. The role focuses on designing realistic infrastructure tasks and evaluation environments, validating production-grade systems, and reviewing technical benchmarks.

Responsibilities

• Design realistic tasks involving distributed systems, networking, security, scalability, and reliability
• Evaluate architecture across compute, storage, networking, queues, APIs, and service layers
• Incorporate production constraints, partial failures, and degraded-service conditions
• Define clear technical success criteria and realistic system topologies
• Apply production experience to strengthen benchmark realism
• Build reproducible, containerised infrastructure environments
• Create reference implementations and intentionally defective variants
• Develop deterministic integration, load, security, deployment, and recovery tests
• Validate infrastructure configuration, topology, and runtime behaviour
• Support repeatable provisioning, execution, and teardown workflows
• Design scenarios involving IAM, least privilege, private networking, and service-to-service security
• Incorporate observability, logging, metrics, tracing, and measurable SLOs
• Evaluate rolling deployments, rollback strategies, disaster recovery, and resilience
• Build troubleshooting tasks based on realistic infrastructure failures
• Develop automation and testing utilities for environment setup and validation
• Create reinforcement-learning environments for multi-step infrastructure reasoning
• Define measurable requirements and golden reference solutions
• Review peer-created tasks for ambiguity, unrealistic assumptions, or validation gaps
• Improve reproducibility, benchmark difficulty, and grading reliability
• Maintain strong engineering standards across project deliverables

Skills

• Senior-level experience in cloud infrastructure, platform engineering, DevOps, systems engineering, or SRE
• Demonstrated ownership of production infrastructure or a production platform
• Strong knowledge of distributed systems, scalable APIs, queues, autoscaling, and durable storage
• Practical IAM, networking, and service-security experience
• Strong observability, SLO, deployment, rollback, and disaster-recovery experience
• Ability to write infrastructure automation or testing tools
• Strong debugging skills in containerised environments
• No prior AI-training or model-evaluation experience is required
• Experience with Terraform or OpenTofu is advantageous
• Experience with AWS, Azure, GCP, Kubernetes, or multi-cloud infrastructure is valuable
• Background in internal developer platforms, edge infrastructure, chaos engineering, fault injection, or resilience testing is beneficial

Benefits

• Fully remote

Company Overview