Lead Platform Engineer: Scalable Distributed Systems

Discover International; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Discover International in San Francisco is seeking a Platform Engineering Leader to drive the design and evolution of scalable backend platforms. You will lead the architecture of Python-based services, event-driven workflows, and cloud-native infrastructure to support rapid biotechnologies growth.

The role emphasizes distributed systems, API-driven interfaces, and automated pipelines, with opportunities to shape AI-assisted engineering workflows, orchestration logic, and declarative

Qualifications

• Deep experience building scalable backend platforms using Python service frameworks and event-driven architectures.
• Comfortable working in cloud-native environments with container scheduling, workflow automation, and managed compute infrastructure.
• Strong understanding of relational datastore design, query performance, and transactional data systems.
• Experience designing intelligent automation pipelines involving reasoning models, evaluation layers, permissions, and orchestration logic.
• Familiarity with infrastructure provisioning and environment management using declarative tooling.
• Experience developing and maintaining distributed application ecosystems across multiple services.
• Comfortable leveraging AI-assisted engineering workflows throughout implementation, testing, debugging, and code refinement.
• Solid grasp of modern API conventions, contract-driven interfaces, and service communication patterns in modular systems.

Skills

Python

Cloud-native

Event-driven architecture

Backend platform design

Distributed systems

API design

Automation pipelines

AI-assisted workflows

Container orchestration

Tools

Kubernetes

Docker

Terraform

Job description

Discover International in San Francisco is seeking a Platform Engineering Leader to drive the design and evolution of scalable backend platforms. You will lead the architecture of Python-based services, event-driven workflows, and cloud-native infrastructure to support rapid biotechnologies growth.

The role emphasizes distributed systems, API-driven interfaces, and automated pipelines, with opportunities to shape AI-assisted engineering workflows, orchestration logic, and declarative