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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Architects - **Company:** Mag Llc. - **Location:** New York, NY, United States (Remote available) - **Experience:** Expert - **Salary:** $124,800.0 - $270,400.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Systems Engineering, Automation of Tests, Microsoft Azure, Cloud Computing, Cloud Engineering, System Configuration, Software Debugging, DevOps, Disaster Recovery, Distributed Systems, Identity and Access Management, Network Security, Reliability Engineering, Requirements Management, Software Engineering, Software Requirements Analysis, Data Logging, Google Cloud, Autoscaling, Multi-Cloud, Kubernetes, Infrastructure Automation Frameworks, Restful APIs, Terraform - **Published:** September 24, 2026 - **Apply:** https://www.careerbuilder.com/job-details/remote-senior-technical-architect-60-130-hour-new-york-ny--816dd5e0-e44c-4a04-ba6c-377ed0eb2f43 ## About the Role We are sharing a specialised consulting opportunity for experienced Senior Technical Architects with strong expertise in cloud infrastructure, distributed systems, platform engineering, DevOps, SRE, production architecture, and resilience engineering to contribute to an advanced AI training and cloud-infrastructure evaluation project. Selected professionals will design realistic cloud-infrastructure tasks and reinforcement-learning environments that test an AI system's ability to design, deploy, secure, scale, troubleshoot, and recover production-grade systems. The work requires substantial hands-on production ownership, strong systems judgement, and the ability to create reproducible environments, deterministic tests, and rigorous reference solutions. No prior experience in AI is required., * Senior-level experience in technical architecture, 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, private-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 * Experience with Terraform or OpenTofu is advantageous * Experience with AWS, Azure, GCP, Kubernetes, or multi-cloud environments is valuable * Background in internal developer platforms, edge infrastructure, chaos engineering, fault injection, or resilience testing is beneficial * No prior AI-training or model-evaluation experience is required, Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Autoscaling, Benchmarking, Cloud Architecture, Cloud Computing, Consulting, Debugging Skills, DevOps, Disaster Recovery, Distributed Computing, GCP (Good Clinical Practices), Identify Issues, Industry/Trade Analysis, Injections, Metrics, Microsoft Windows Azure, Network Security, Onboarding, Production Systems, Project Evaluation, Requirements Management, Software Engineering, Systems Engineering, Systems Scalability, Technical Consulting, Telemetry, Test Automation, Test Plan/Schedule, Test Tools, Testing, Topology, Writing Skills ## Description Cloud Architecture & Distributed Systems * Design realistic infrastructure scenarios spanning distributed systems, networking, security, scalability, and reliability * Evaluate architectures involving scalable APIs, queues, durable storage, autoscaling, and service coordination * Model partial failures, degraded services, and realistic production constraints * Assess trade-offs across performance, availability, security, and operational complexity * Define clear system requirements and measurable success criteria Infrastructure Environments & Validation * Build reproducible, containerised technical environments * Create reference implementations and intentionally defective variants * Develop deterministic integration, load, security, failure-injection, deployment, and recovery tests * Validate infrastructure configuration, topology, and runtime behaviour * Support repeatable provisioning, execution, and teardown workflows Security, Reliability & Operations * Design scenarios involving IAM, least privilege, private networking, and service-to-service security * Incorporate logging, metrics, tracing, SLOs, and operational telemetry * Evaluate rolling deployments, rollback strategies, disaster recovery, and resilience * Develop realistic troubleshooting and incident scenarios * Write automation or testing tools supporting environment setup and validation AI Evaluation & Technical Review * Create reinforcement-learning environments for multi-step infrastructure reasoning * Build golden solutions and defective or adversarial variants * Review peer-created tasks for ambiguity, unrealistic assumptions, or validation gaps * Improve benchmark difficulty, reproducibility, and grading reliability * Maintain strong engineering standards across project deliverables ## Related Videos - [Shifting Stress to Progress— Understanding DevOps to do DevOps Better](https://www.wearedevelopers.com/videos/268-shifting-stress-to-progress-understanding-devops-to-do-devops-better) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Reference Architecture of AI in the Cloud](https://www.wearedevelopers.com/videos/1613-reference-architecture-of-ai-in-the-cloud) ## Related Articles - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)