Hybrid Platform Engineer

at bem

• Job title: Platform Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $150,000 - $250,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Google Cloud Platform, Terraform
• Location requirements: Hybrid, San Francisco, United States

About the role

• Platform Engineer architecting robust data and compute infrastructure for AI systems at bem. Joining a product-led company building a foundational infrastructure for modern enterprise workflows.

Responsibilities

• Own the Data Pipeline
• You'll be the architect of how data flows through our systems—from ingestion to processing to delivery.
• Solve Uncharted Infrastructure Problems
• The infrastructure challenges of scaling AI systems are an open sea.
• Work with a Veteran Team
• You will be working alongside, and learning from, seasoned experts who have built and scaled products to hundreds of millions of users across uses as varied as SaaS for agriculture and grocery stores, AI agents in healthcare, cloud infrastructure, and AI code co-pilots (pre-transformer models!).
• Product-Obsessed, Not Tech-Obsessed
• We are a product-led company, not a consulting firm deploying AI for its own sake.
• Architect Data Infrastructure
• Design and build robust data pipelines that handle stochastic data with transactional guarantees.
• Build Multi-Cloud Foundations
• Deploy and manage infrastructure across AWS, Azure, and GCP—this is table stakes for our enterprise distribution strategy.
• Infrastructure as Code
• Everything is code. Use Terraform (OpenTofu) and Pulumi to create repeatable, versioned, and auditable infrastructure.
• Security-First Mindset
• Foster a security-first culture that protects user data and reduces GTM friction—from software supply chain security to VPC configurations that satisfy highly secure enterprise requirements.
• Automate Everything
• Apply a software engineering mindset to eliminate manual toil and build self-healing systems.
• Collaborate and Educate
• Work as an embedded expert within the engineering team, guiding best practices in reliability, scalability, and observability.

Requirements

• Data Engineering Expertise
• Deep understanding of data systems, including schema design and evolution
• CAP theorem tradeoffs in practice
• Stream processing and batch processing patterns
• Experience with modern data warehouses (e.g. Snowflake, Databricks, ClickHouse, or Motherduck) and relational database engines.
• Multi-Cloud Proficiency
• Hands-on experience with at least two major cloud platforms (AWS, Azure, GCP)
• Understanding their nuanced differences.
• Infrastructure as Code
• Proven experience componentizing and managing infrastructure through IaC tools—this is step zero, not a nice-to-have.
• Security Implementation
• Practical experience with infrastructure security, including container security, network isolation, and meeting enterprise compliance requirements.
• Networking Skills
• Strong expertise in modern cloud networking concepts, including Virtual Network Design, VPC peering, VPN management and the implementation of Zero Trust principles.
• Software Engineering Foundation
• Strong coding skills and ability to build tools, not just configure them. We value your ability to write production code.

Benefits

• Competitive comp, including early equity
• Hybrid work environment (3 days in-office) with flexibility to balance work and life
• Work directly with founders & leadership on high-impact, strategic projects
• Be part of a fast-moving, high-growth startup backed by top investors