Senior Platform Engineer
micro1
WorldwideremotePosted 1 month ago
Skill Required
Senior-Platform-EngineerSenior-Platform-EngineeringSenior-Developer-Platform-EngineerSenior-DevOps-Platform-EngineerSenior-Cloud-Platform-EngineerSenior-Web-Platform-EngineerPlatform EngineerSystem DesignBackup and RecoveryObservabilityEngineeringR ProgrammingKubernetesnetworkingautomationTerraformsecuritybuildingTestNGdesignDevOpsAzureCloudAPIsAWSGCPIAMandAIContract
Key highlights
- Compensation is output‑based, paid per completed task.
- Senior‑level cloud infrastructure / platform engineering experience required.
- Remote contractor position.
- Roles filled within 48 hours; start within 24‑48 hours after onboarding.
- Minimum weekly task submission required.
- No AI‑specific experience required.
Role overview
In this role, you'll apply your cloud infrastructure and platform engineering expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world engineering input. No prior experience in AI is required—your domain knowledge and hands‑on production experience are what matter.
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 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.
Benefits
- Output‑based compensation: experts are paid per task that meets project specifications.
- Remote work.
Additional details
- Role Title: Senior Platform Engineer.
- Role Type: Contractor.
- Location: Remote.
- Process: Apply to the role, filling out the screening questions; Complete AI interview (approx. 30 minutes), reviewed by recruiters; Hiring Manager review.
- Compensation Structure: Minimum submission requirements apply; experts must submit a minimum of tasks per week.
- Start Timeline & Availability: Roles typically filled within 48 hours; experts are expected to start first tasks within 24–48 hours of completing onboarding.
- Originally posted on Himalayas.