Senior Technical Architect
micro1
WorldwideremotePosted 13 days ago
Skill Required
Technical-ArchitectSenior-Technical-Solutions-ArchitectSenior-ArchitectSenior-Architecture-EngineerSenior-Lead-ArchitectSenior-IT-ArchitectSenior-Application-ArchitectSenior-Systems-ArchitectTechnical LeadSystem DesignBackup and RecoveryObservabilityEngineeringR ProgrammingKubernetesnetworkingautomationTerraformsecuritybuildingTestNGdesignDevOpsAzureCloudAPIsAWSGCPIAMandAIContract
Key highlights
- Output-based compensation; paid per task that meets specifications
- Contractor role, fully remote
- No prior AI experience required
- Senior-level technical architecture experience required
- Start within 24-48 hours of onboarding
- Min. tasks per week required
Role overview
You'll apply platform engineering expertise to help train next-generation AI systems. This role involves creating Reinforcement Learning Environments that test AI models' ability to design, deploy, troubleshoot, secure, scale, and recover production-grade cloud infrastructure. Work includes developing realistic scenarios involving distributed systems, networking, IAM, queues, durable storage, observability, rolling deployments, and disaster recovery, then building reproducible environments, deterministic validation tests, golden reference solutions, and intentionally defective variants. No prior AI experience required; domain knowledge and hands-on production experience are paramount. The role is contract-based, fully remote, with output-based compensation.
Responsibilities
- Create realistic cloud infrastructure tasks involving distributed systems, networking, security, scalability, and reliability
- Build reproducible, containerized environments with valid reference solutions and intentionally defective variants
- Define measurable requirements across infrastructure configuration, deployed topology, and runtime behavior
- Develop deterministic integration, load, security, failure-injection, deployment, and recovery tests
- Debug environments, document technical decisions, and review tasks created by other experts
Requirements
- Senior-level technical architecture, cloud infrastructure, platform engineering, DevOps, systems engineering, or SRE experience, including personal ownership of a production platform
- Strong knowledge of distributed systems, scalable APIs, queues, autoscaling, durable storage, and partial-failure scenarios
- Practical experience with IAM, private networking, least-privilege access, and service-to-service security
- Experience with observability, measurable SLOs, rolling deployments, rollback strategies, and disaster recovery
- Ability to write infrastructure automation or testing tools and debug containerized environments using a relevant programming language
Nice to have
- Experience with Terraform or OpenTofu
- Experience with AWS, Azure, GCP, Kubernetes, or multi-cloud infrastructure
- Experience building internal developer platforms, edge infrastructure, or shared platform services
- Experience with chaos engineering, fault injection, local cloud emulators, or resilience testing
- Experience creating technical evaluations, automated grading systems, or AI environments is helpful but not required
Benefits
- Output-based compensation; experts are paid per task that meets the project specifications
- Flexible remote work
Additional details
- Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert's experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.
- We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.
- Role Type: Contractor
- Location: Remote
- Process: Apply to the role, filling out the screening questions; Complete AI interview (aprox. 30 minutes), reviewed by recruiters; Hiring Manager review