Senior Platform Engineer

Location: San Francisco Bay Area, CA Schedule: Sunday–Thursday, 10:00 AM – 8:00 PM (Core hours 10:00 AM – 6:00 PM) Type: Full-Time Base Compensation: $150,000 – $250,000 Equity: 0.1% – 1% Overview This is a Senior Platform Engineering role within a rapidly scaling generative AI company building mission-critical infrastructure for life sciences and pharmaceutical organizations. The platform integrates large-scale biomedical datasets and deploys domain-specific AI agents to power end-to-end workflows across research, regulatory, and clinical environments. This role is focused on architecting secure, scalable, and cost-efficient cloud infrastructure capable of supporting high concurrency, enterprise-grade reliability, and regulatory compliance. You will operate at the foundation of the company's technical stack—owning core infrastructure systems that enable global expansion in a highly regulated industry. Core Responsibilities Cloud Architecture & Infrastructure Architect, deploy, and maintain secure AWS cloud environments supporting high-traffic workloads Design scalable multi-tenant cloud architectures with strong isolation and reliability guarantees Optimize VPC architecture, networking configurations, and IAM policies Kubernetes & Deployment Systems Design, maintain, and scale Kubernetes clusters Build and manage CI/CD pipelines supporting reliable and repeatable deployments Oversee secure deployments within client-controlled or regulated environments Data & Performance Optimization Manage and optimize databases including RDS and vector databases for performance and reliability Improve infrastructure observability through logging, metrics, tracing, and alerting systems Ensure high availability, disaster recovery readiness, and production resilience Security & Compliance Implement cloud security best practices aligned with regulated environments (e.g., healthcare/biotech) Continuously improve infrastructure security posture and risk mitigation practices Support compliance requirements across enterprise and regulated customers Scale & Cost Efficiency Optimize infrastructure cost, scalability, and performance Support product growth from early adoption to 10,000+ users and beyond Requirements 2–5 years of experience (open to exceptional new graduates with strong technical depth) Strong experience with AWS , Terraform , and infrastructure-as-code tooling Hands-on experience with Kubernetes , Docker , and CI/CD pipelines Strong understanding of VPC architecture , networking, and multi-tenant cloud environments Experience implementing cloud security best practices Willingness to work Sunday–Thursday schedule (10 AM – 8 PM, core 10 AM – 6 PM) Based in or willing to relocate to the San Francisco Bay Area Required Candidate Q&A If not already in the Bay Area, are you willing to relocate within one month of start date? Interview Process Take-Home Technical Assignment Technical Interview Culture Fit Interview with Leadership Offer Decision Ideal Candidate Profile Infrastructure-first thinker with strong systems intuition Comfortable operating independently in high-ownership environments Security-minded and detail-oriented Motivated by building foundational systems in regulated industries Energized by supporting global scale in AI-driven healthcare environments