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bem · 4 months ago

Platform Engineer

San Francisco HQ

Full-time

Hybrid

Mid Level

$150K/yr - $250K/yr

bem is a company focused on building the infrastructure layer for modern enterprise workflows, aiming to automate unstructured data processes with high accuracy through their AI platform. They are seeking a Platform Engineer to architect data and compute infrastructure, solve infrastructure challenges, and collaborate with a veteran team to transform business operations.

Artificial Intelligence (AI)Enterprise Software

Responsibilities

Own the Data Pipeline: You'll be the architect of how data flows through our systems—from ingestion to processing to delivery. Your expertise in schemas, CAP tradeoffs, and transactional guarantees will directly impact customer value

Solve Uncharted Infrastructure Problems: The infrastructure challenges of scaling AI systems are an open sea. You won't be implementing solved problems; you'll be defining the future of scalable GPU compute and AI infrastructure on the cloud and at the edge. No CUDA, shoulda, woulda here!

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!)

Architect Data Infrastructure: Design and build robust data pipelines that handle stochastic data with transactional guarantees. Automate DDL evolution, ensure low latency and high durability, and make complex data simple for our customers

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

Qualification

Data Engineering ExpertiseMulti-Cloud ProficiencyInfrastructure as CodeSecurity ImplementationNetworking SkillsSoftware Engineering FoundationGPU compute experienceEdge computing familiarityHigh-throughput systemsObservability platformsOpen-source contributions

Required

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

Hands-on experience with at least two major cloud platforms (AWS, Azure, GCP) and understanding their nuanced differences

Proven experience componentizing and managing infrastructure through IaC tools

Practical experience with infrastructure security, including container security, network isolation, and meeting enterprise compliance requirements

Strong expertise in modern cloud networking concepts, including Virtual Network Design, VPC peering, VPN management and the implementation of Zero Trust principles

Strong coding skills and ability to build tools, not just configure them