Remote Senior Platform Engineer — AI Infrastructure & Resilience

Artha Nexgen; Northern (KY); Hybrid; USD 103,000 - 207,000; Part time

Job summary

Artha Nexgen is seeking an experienced contractor to apply cloud infrastructure and platform engineering expertise to train next-generation AI systems. You will create Reinforcement Learning environments that test a model’s ability to design, deploy, troubleshoot, secure, scale, and recover production-grade cloud infrastructure.

Responsibilities include building reproducible, containerized environments, defining measurable requirements, and developing deterministic tests for integration, load,

Qualifications

• Senior-level cloud infrastructure or SRE experience with ownership of a production platform.
• Strong knowledge of distributed systems, queues, autoscaling, and durable storage.
• Experience with IAM, private networking, least-privilege access, and service-to-service security.
• Familiarity with observability, SLOs, rolling deployments, and disaster recovery.
• Ability to write infrastructure automation or testing tools and debug containerized environments.

Responsibilities

• Create realistic cloud infrastructure tasks involving distributed systems, networking, security, scalability, and reliability.
• Build reproducible, containerized environments with valid reference solutions and intentionally defective variants.
• Define measurable requirements across infrastructure configuration, deployed topology, and runtime behavior.
• Develop deterministic integration, load, security, failure-injection, deployment, and recovery tests.
• Debug environments, document technical decisions, and review tasks created by other experts.

Skills

Cloud infrastructure

Platform engineering

DevOps

SRE

Distributed systems

Observability

SLOs

Autoscaling

IAM security

Containerized apps

Automation tools

Disaster recovery

Infra scripting

Tools

Terraform

OpenTofu

AWS

Azure

GCP

Kubernetes

Multi-cloud infra

Job description

Artha Nexgen is seeking an experienced contractor to apply cloud infrastructure and platform engineering expertise to train next-generation AI systems. You will create Reinforcement Learning environments that test a model’s ability to design, deploy, troubleshoot, secure, scale, and recover production-grade cloud infrastructure.

Responsibilities include building reproducible, containerized environments, defining measurable requirements, and developing deterministic tests for integration, load,