Platform Engineering Lead - 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

Our client is one of the fastest growing Biotechs in the US right now! This is not an opportunity to be missed....

Due to growth - They\'re looking for a Platform Engineering Leader.

Key Requirements:

• 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