Senior Platform Engineer

About the role

We're seeking a Senior Platform Engineer to join our growing team in San Francisco. You'll build and maintain the foundational infrastructure that powers Orchestra's intelligent R&D management platform, ensuring our systems can scale reliably as we help more companies bring breakthrough innovations to market.

Responsibilities

• Design and maintain the cloud infrastructure that biotech companies depend on for managing billion dollar R&D programs.
• Build systems that handle sensitive scientific data, complex financial modeling, and AI workloads with the reliability and security these high stakes operations demand.
• Create the platform infrastructure that powers our AI-driven signals extraction from meeting transcripts, documents, and operational data.
• Design systems that can process unstructured data at scale while maintaining performance and cost efficiency as our customer base grows.
• Create tooling and infrastructure that enables our engineering team to ship features rapidly and reliably.
• Design CI/CD pipelines, monitoring systems, and development environments that help us maintain quality while moving at startup speed.
• Implement infrastructure that meets the stringent requirements of biotech and pharmaceutical companies.
• Build towards SOC 2 compliance while maintaining the development velocity needed in a fast-growing startup environment.

Qualifications

• 5+ years of platform/infrastructure engineering or SRE experience
• Strong expertise in cloud infrastructure (AWS/GCP/Azure) including IaC tools (Terraform, CloudFormation)
• Hands-on experience with monitoring and observability, implementing and running alerting systems and incident response
• Hands-on experience with CI/CD pipeline design, implementation and maintenance
• Collaborative mindset with proven track record of working effectively in small, fast-moving engineering teams
• Preferred: SOC 2 compliance implementation experience: security controls, monitoring, audit preparation
• Performance optimization experience for data-intensive applications
• Ai-assisted development proficiency; leveraging tools to accelerate infrastructure work