Software Engineer - Platform/Infrastructure

Who is Recruiting from Scratch:

Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire.

Software Engineer - Platform / Infrastructure

Location: San Francisco, CA (Hybrid)
Company Stage of Funding: Series A/B ($30M+ raised)
Office Type: Hybrid
Salary: $160,000 - $225,000
Visa: No sponsorship
Company Description

Our client is building next-generation cybersecurity infrastructure focused on human risk intelligence.

Their AI-native platform identifies behavioral security risks and automatically deploys interventions that improve enterprise security posture at scale.

Backed by leading venture investors and founded by proven operators from category-defining security companies, they are rapidly scaling a highly technical engineering organization.

This is an opportunity to build the infrastructure backbone powering large-scale data ingestion, processing, and real-time decisioning systems.
What You Will Do

• Design and build scalable backend infrastructure systems
• Build and operate real-time and batch data processing systems
• Develop platform services supporting high-throughput data workflows
• Build compute, storage, orchestration, and platform tooling
• Improve system reliability, observability, and operational performance
• Collaborate closely with data and ML teams
• Support production data ingestion and serving infrastructure
• Optimize systems for scalability and cloud efficiency
• Build internal abstractions and developer tooling
• Drive infrastructure consistency and engineering velocity
• Contribute to secure, compliant infrastructure design
• Help scale platform architecture as product adoption accelerates

Ideal Candidate Background

• 4-8 years of backend/platform engineering experience
• Strong distributed systems fundamentals
• Production infrastructure ownership
• Real-time systems experience
• Data pipeline / ETL systems experience
• Cloud infrastructure expertise (AWS/GCP)
• Kafka / streaming systems exposure
• Strong systems design capability
• Platform scalability experience
• Infrastructure reliability mindset

Strong Signals

• High-growth startup platform engineering
• Data infrastructure ownership
• Real-time event-driven systems
• Backend platform scaling experience
• Strong observability / reliability practices
• Cross-functional collaboration with ML/data teams
• Cloud cost optimization experience
• Internal tooling development
• Secure infrastructure design
• Infrastructure abstraction building
• Fast-moving engineering environments
• High autonomy

Compensation and Benefits

• Base salary: $160,000 - $225,000
• Competitive equity
• Health / dental / vision coverage
• Flexible PTO
• High ownership
• Technical autonomy
• Fast-moving engineering culture
• Opportunity to build foundational infrastructure

Why Join

This role offers the opportunity to build critical platform systems at the foundation of an AI-native cybersecurity company.

You'll work on the infrastructure powering real-time behavioral intelligence products while shaping how the company scales its backend systems for enterprise growth.

For engineers who love distributed systems, data infrastructure, and building robust production platforms, this is an exceptional early-stage opportunity.