Platform Engineer - Scaling & Reliability
AgentSolve lets AI agents access specialist algorithms for problems such as routing, scheduling and resource allocation, with transparent pricing and independently verified results.
We’re looking for a hands-on Platform Engineer to own the next stage of our infrastructure after launch. Your focus will be scaling the platform as adoption grows: increasing execution capacity, maintaining dependable service, improving deployment workflows and keeping compute costs commercially sustainable.
What You'll Do
- Scale execution capacity : Develop capacity planning, scheduling and scaling mechanisms for solver workloads with different CPU, memory and runtime requirements. Handle traffic spikes and prevent individual workloads from degrading service for other customers.
- Improve performance and economics : Measure queue times, execution overhead, host utilisation and cost per job. Remove bottlenecks across APIs, PostgreSQL, workers and isolated execution environments.
- Own production reliability: Establish service objectives, actionable monitoring and incident response practices. Strengthen recovery from host failures, interrupted jobs and dependency outages.
- Evolve infrastructure deliberately: Automate provisioning and configuration, identify capacity limits, and introduce architectural changes when measurements justify them.
- Make releases dependable: Improve CI/CD, staging environments, database migrations and rollback procedures so engineers can ship frequently while protecting active workloads.
- Maintain isolation and security as we grow: Strengthen workload resource limits, network boundaries, secrets management and software supply-chain controls.
- Prove operational readiness: Use load tests, failure exercises and backup restoration drills to validate capacity and recovery assumptions.
What We're Looking For
- Experience scaling and operating a production SaaS platform, API service or compute infrastructure.
- Strong Linux, networking and container troubleshooting skills.
- Practical understanding of asynchronous jobs, concurrency, retries, backpressure and resource management.
- Experience operating PostgreSQL and object storage, including performance diagnosis, migrations and recovery.
- Confidence with infrastructure as code, CI/CD, observability and production incident response.
- Strong Python skills and the ability to work across application and infrastructure code.
- Evidence of measurable improvements to reliability, performance or infrastructure costs.
- Experience with KVM, microVMs, containerd, Kata Containers, Cloud Hypervisor or Go would be valuable. Familiarity with metered compute, batch processing or optimisation workloads is also welcome.
Why Join
The platform combines Python/FastAPI, PostgreSQL, Docker/systemd and a Go execution host agent. The infrastructure architecture centres on Cloudflare, OVHcloud, S3-compatible storage and isolated solver execution.
You’ll work closely with the founding team and own infrastructure decisions that directly affect customer experience and unit economics. We value clear reasoning, simple systems and improvements supported by production evidence.
Compensation will reflect experience and engagement scope. Remote working is supported, with focused in-person collaboration when needed.
To apply, email contact@5xperformance.com with your CV or profile and a short example of a platform you helped scale, including the bottleneck you addressed and the outcome.
Salary range, eligible locations and on-call arrangements remain to be jointly confirmed.
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