Technical Architect for Production Platform Engineering
Listing checked September 4, 2026 · pay as published by Micro1
Overview
A contractor role focused on platform engineering for next-generation AI systems. You’ll craft real-world, production-grade cloud scenarios to test how models learn, reason, and operate. Your guidance shapes how reinforcement learning environments evaluate design, deployment, security, and recovery across distributed infrastructure. Prior AI experience isn’t required; deep hands-on production expertise and domain knowledge take precedence. Boldly apply your cloud and distributed systems expertise to build deterministic tests and reusable environments.
What You'll Do5
- 1Create realistic cloud tasks that exercise distributed architectures, networking, security, scalability, and reliability.
- 2Assemble reproducible, containerized setups with solid reference solutions and purposely defective variants.
- 3Set measurable criteria for infrastructure configuration, deployed topology, and runtime behavior.
- 4Develop deterministic tests for integration, load, security, failure injection, deployment, and recovery processes.
- 5Debug environments, document technical decisions, and review work from peers to ensure quality.
Requirements5
- 1Senior-level experience in technical architecture or cloud infrastructure with ownership of a production platform.
- 2Strong grasp of distributed systems, scalable APIs, message queues, autoscaling, durable storage, and partial-failure handling.
- 3Hands-on experience with IAM, private networking, least-privilege access, and service-to-service security.
- 4Proven ability to implement observability, define measurable SLOs, support rolling deployments, and plan disaster recovery.
- 5Programming capability to write infrastructure automation or testing tools and to debug containerized environments.
Who Should Apply
The ideal candidate is a senior platform engineer or SRE who has owned a production cloud platform and can design realistic RL environments for testing. The role may not be a fit for someone without hands-on production experience in cloud infrastructure or who lacks familiarity with containers, observability, and security controls. Common rejection reasons include not having direct ownership of a production platform and limited exposure to IAM, private networking, or disaster recovery planning.
Salary Insight
Pay is performance-based and determined per task that meets project specs; hourly or annual rates are not listed. Expect compensation to reflect task completion and quality, with minimum submission requirements.
Pay and demand for Software Engineering roles
AggregatedTypical pay
$74/hour
This role
$60–$130/hr
Most Software Engineering roles pay $50–$95 per hour. This role's pay falls inside that range.
Based on 688 similar roles that publish pay · 173 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 774
- Listed in last 30 days
- 401
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- 96%
Hiring most right now: micro1 (308) · SME Careers (142) · Mercor (97)
Most requested skills · share of roles
- python16%
- llm evaluation15%
- ai training14%
- trainer feedback10%
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Compensation
$60–130/hr
Required Skills
Application Tip
Highlight a concrete achievement where you owned a production cloud platform, including SLOs met, automation you built, and a reproducible testbed you created for RL environments.
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