
Technical Architect for Production Platform Engineering
Listing checked September 4, 2026 · pay as published by micro1
Key details
- Pay
- $60–130/hr
- Location
- Remote
- Job type
- contract
- Openings
- 5
- Posted
- October 7, 2026
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
- Create realistic cloud tasks that exercise distributed architectures, networking, security, scalability, and reliability.
- Assemble reproducible, containerized setups with solid reference solutions and purposely defective variants.
- Set measurable criteria for infrastructure configuration, deployed topology, and runtime behavior.
- Develop deterministic tests for integration, load, security, failure injection, deployment, and recovery processes.
- Debug environments, document technical decisions, and review work from peers to ensure quality.
Requirements5
- Senior-level experience in technical architecture or cloud infrastructure with ownership of a production platform.
- Strong grasp of distributed systems, scalable APIs, message queues, autoscaling, durable storage, and partial-failure handling.
- Hands-on experience with IAM, private networking, least-privilege access, and service-to-service security.
- Proven ability to implement observability, define measurable SLOs, support rolling deployments, and plan disaster recovery.
- Programming 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 Data Engineering roles
Market estimates from live NearSkill listings — separate from this job's published terms.
This role · as published
$60–130/hr
Taken from the listing itself.
Typical pay · estimated
$70/hour
Median of 1,330 similar roles that publish pay · 301 publish only a top rate; those count at the rate they gave
Most Data Engineering roles pay $40–$95 per hour. This role's pay falls inside that range.
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 1,555
- Listed in last 30 days
- 852
- Remote
- 97%
Hiring most right now: micro1 (415) · SME Careers (254) · Mercor (233)
Most requested skills · share of roles
- ai evaluation13%
- llm evaluation12%
- python11%
- data annotation11%
Figures from Data Engineering roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
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