Platform Engineer

Role overview Own the production infrastructure that keeps AI agents and their integrations responsive, reliable, and able to handle growth. You’ll use performance measurements to guide deployment, monitoring, incident response, and capacity decisions.

Responsibilities - Run and improve infrastructure supporting agent services and integrations. - Create load tests and benchmarks for agent conversations, tracking latency, errors, and throughput. - Build monitoring, alerts, and dashboards that make service health visible. - Automate deployments and make releases straightforward to roll back. - Plan capacity and recommend scaling changes based on observed demand. - Investigate incidents and document findings in clear postmortems.

Requirements - Experience operating production services on a major cloud provider. - Practical experience with containers, CI/CD, and infrastructure as code. - Familiarity with observability tools and performance testing. - Ability to weigh cost, speed, and reliability using evidence. - Relevant experience in platform, SRE, DevOps, backend infrastructure, or performance engineering for SaaS or API products.

Benefits and work setup Remote contract with flexible hours. Compensation starts at $4,500 per month. Freelancers and solo agencies may continue working with their own clients. The selection exercise involves building an agent with a set of FAQs, scripting and repeating conversations, reporting latency and success metrics, and recommending a scaling and monitoring approach. There is no time limit; candidates should also describe the test’s limitations.