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