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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Platform Engineer - AI Systems / Infrastructure - Remote / Telecomuute - **Company:** CYNET SYSTEMS INC. - **Location:** Plano, TX, United States (Remote available) - **Contract:** Permanent contract - **Skills:** Private Networks, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Automation of Tests, Digital Rendering, Continuous Integration, Persistent Data Structure, Distributed Systems, Fault Tolerance, Github, Identity and Access Management, Metadata, NoSQL, Systems Architecture, Management of Software Versions, Reinforcement Learning, Cloud Platform System, Large Language Models, Model Validation, Git, Build Management, Kubernetes, Terraform, Docker - **Published:** July 11, 2026 - **Apply:** https://www.careerjet.com/jobad/us0f485870f1b87951d981fd5a9263381b ## About the Role * Advanced Python backend engineering experience. * Strong distributed systems and asynchronous processing experience. * Hands-on AWS experience, especially with compute, storage, IAM, queues, containers, and batch-style workloads. * Terraform / Infrastructure as Code experience. * Docker and containerized workload execution experience. * CI/CD experience, preferably with GitHub Actions or equivalent. * Strong understanding of queues, workers, orchestration, retries, idempotency, and failure handling. * Experience designing storage systems for logs, artifacts, execution outputs, and metadata. * Strong Git/versioning knowledge, including branching, commit hashes, reproducibility, and controlled code execution. * Strong system-level design thinking across multi-service architectures. * Ability to work inside client-owned repositories, infrastructure, workflows, and security controls., * Experience building AI/ML execution platforms, experimentation platforms, benchmark systems, or model evaluation infrastructure. * Experience with reinforcement learning, LLM agents, or AI evaluation workflows. * Experience operating in private network, restricted, or air-gapped environments. * Experience with NoSQL, object storage, metadata catalogs, or S3-backed persistence. * Experience with Kubernetes, ECS, AWS Batch, or large-scale distributed workload execution. * Experience with security controls for third-party or externally developed code execution. ## Description * Design and build the core execution / runner engine for game and algorithm execution. * Architect and implement distributed platform components across runner, renderer, application, and supporting services. * Build scalable cloud-native infrastructure using AWS services such as compute, storage, queues, IAM, ECS/EKS/Lambda/Batch, and S3. * Implement Infrastructure as Code using Terraform. * Develop asynchronous job processing capabilities using queues, workers, retries, and fault-tolerant execution patterns. * Ensure environment parity between local development and cloud/private infrastructure execution. * Build and maintain CI/CD pipelines for automated testing, deployment, and long-running workflow execution. * Design secure and reproducible external code ingestion workflows, including git-based pipelines, SHA pinning, versioning, and controlled execution of externally developed algorithms. * Design data persistence layers for logs, artifacts, run outputs, and execution metadata. * Implement reliability patterns including idempotency, concurrency handling, failure recovery, retries, and observability hooks. * Operate within private, restricted, or air-gapped execution environments as required. * Collaborate closely with Full Stack and AI Evaluation engineers on APIs, schemas, storage formats, execution lifecycle, and reporting needs. * Ensure all source code, configuration, tests, and documentation comply with client-defined standards, security policies, and review processes. ## Related Videos - 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