LockedIn AI is a fast-growing AI-native platform trusted by over 1 million users worldwide. We build real-time AI tools that power interviews, coding assessments, and professional communication at scale.We are hiring a Platform Engineer to design and operate the core infrastructure that powers our entire engineering ecosystem.Role OverviewAs a Platform Engineer, you will build and maintain the internal developer platform and cloud infrastructure that all engineering teams rely on.Your work will directly impact system reliability, developer productivity, and the ability to scale services for 1M+ users.You will treat internal infrastructure as a product, focusing on developer experience, scalability, and automation.Key ResponsibilitiesCloud Infrastructure & ArchitectureDesign and manage cloud infrastructure (AWS/GCP/Azure)Build scalable systems for AI workloads and product servicesManage Kubernetes clusters and container orchestrationImplement Infrastructure as Code (Terraform, Pulumi, etc.)CI/CD & Developer ToolingBuild and maintain CI/CD pipelines for fast deploymentsImplement safe release strategies (blue-green, canary, rollback)Create internal tools to improve engineering productivityEvaluate and integrate modern platform technologiesObservability & MonitoringBuild logging, metrics, and tracing systems (Prometheus, Grafana, Datadog, etc.)Design alerting systems with minimal noise and fast detectionEnable debugging across distributed systems and microservicesMonitor platform health, performance, and usageReliability & ScalabilityDesign fault-tolerant and self-healing systemsOptimize performance, latency, and infrastructure costBuild auto-scaling systems for dynamic workloadsEnsure high availability under traffic spikesSecurity & ComplianceImplement secure infrastructure practices (IAM, encryption, secrets management)Ensure compliance with privacy and data protection standardsManage vulnerability scanning and infrastructure hardeningCollaborate on DevSecOps initiativesRequired Qualifications3+ years in Platform Engineering, DevOps, or SRE rolesStrong experience with cloud platforms (AWS/GCP/Azure)Hands-on Kubernetes and Docker experienceStrong programming skills (Python, Go, TypeScript, etc.)Experience with CI/CD and Infrastructure as CodeFamiliarity with monitoring and observability toolsExperience working in fast-paced engineering environmentsPreferred QualificationsExperience with AI/ML infrastructure or MLOpsBackground in real-time or low-latency systemsExperience building internal developer platformsMulti-cloud or hybrid-cloud experienceStartup experience (Seed to Series A stage)Open-source contributions or technical writingCompensation$140,000 - $195,000 USD / yearEquity in a fast-growing AI companyWhat We OfferOwnership of core engineering infrastructureRemote-first flexibility (US-based)High-impact role in a 1M+ user platformFast-moving, AI-native engineering cultureStrong equity upside in early-stage companyWhy Join LockedIn AI?Build the platform powering a category-defining AI productDirect impact on engineering velocity and system reliabilityWork at the intersection of AI, infrastructure, and scaleJoin a lean team shipping fast and iterating constantlyHow to ApplyPlease include:Resume or CVShort note explaining why you want to join LockedIn AIWhether youve used the productOptional: GitHub, projects, or technical writing