Software Engineer (Cloud Platforms)

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 (Cloud Platforms)

Location - San Mateo, CA (Hybrid – 4 Days Onsite, Fridays Remote)

Compensation - $180,000 – $280,000 Base + Competitive Equity

Visa - Visa sponsorship available on a case-by-case basis

Company Stage - High-Growth VC-Backed Startup (Founded by UC Berkeley PhDs & Databricks Founders)

Industry - AI Infrastructure, Cloud Platforms, Kubernetes, Multicloud Computing

About the Company

The company is building the future of multicloud AI infrastructure by providing a unified control plane that enables organizations to run, manage, and optimize AI workloads across cloud providers and on-premise environments.

Originally developed as a UC Berkeley research project, the platform has become one of the fastest-growing infrastructure products in AI, powering production workloads for Fortune 500 companies and leading AI-native startups.

The platform abstracts away cloud complexity and provides a portable, cost-optimized, and highly available interface for managing large-scale AI compute across more than 17 cloud providers and Kubernetes environments.

With adoption growing more than 600% in the past year and strong backing from world-class investors and technical leaders, the company is scaling rapidly and building a world-class engineering team focused on distributed systems, cloud infrastructure, and AI platforms.

This role will own critical components of the commercial cloud platform and help architect the next generation of multicloud infrastructure for AI workloads.

What You'll Do

Architect and build the commercial cloud platform from the ground up

Design and implement scalable control plane and data plane systems

Build tenant management, user management, authentication, and authorization services

Develop core platform services including APIs, billing systems, monitoring, and platform infrastructure

Design cloud-native services using Go, Kubernetes, gRPC, and PostgreSQL

Build highly reliable, secure, and scalable SaaS platform capabilities

Create systems for monitoring, alerting, observability, and platform operations

Partner closely with founders and engineering leadership on technical architecture decisions

Help define the long-term platform strategy and engineering roadmap

Work on infrastructure powering AI workloads at massive scale across multiple cloud providers

Drive engineering excellence and help establish platform engineering best practices

Ideal Candidate Background

Experience Requirements

6+ years of experience as a backend, platform, or infrastructure engineer

Experience building SaaS products from 0-to-1 rather than maintaining mature systems

Experience at VC-backed startups during Seed through Series C growth stages

Experience building core platform services used by customers in production

Experience designing and shipping scalable distributed systems

Experience as an early employee at a startup that successfully scaled preferred

Demonstrated ownership of platform architecture and technical decision-making

Strong startup builder mentality with a bias toward execution

Technical Requirements

Strong Go engineering experience preferred

Production Kubernetes experience (required)

Experience building cloud-native services and distributed systems

Experience with gRPC and service-oriented architectures

Strong PostgreSQL experience

Experience using Terraform or infrastructure-as-code tools

Experience designing SaaS platform architecture

Strong backend system design fundamentals

Experience with monitoring, observability, and production operations

Familiarity with cloud infrastructure and multicloud environments

Strong debugging and performance optimization skills

Education

Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or related field

Strong academic background from a top engineering program preferred

Soft Skills

High ownership mentality

Strong communication and collaboration skills

Comfortable operating in ambiguity

Startup-minded builder

Strong product and business judgment

Ability to execute independently

Customer-focused engineering mindset

Passion for solving complex infrastructure challenges

Preferred Backgrounds

Cloud infrastructure startups

Developer platform companies

Kubernetes-native organizations

SaaS platform engineering teams

Infrastructure software startups

Distributed systems companies

Early-stage venture-backed startups

Engineers who joined startups during 0-to-1 phases

Compensation & Benefits

Base Salary: $180,000 – $280,000

Competitive Equity Package

Significant ownership over platform architecture

Direct collaboration with founders and leadership

Opportunity to shape a category-defining infrastructure platform

Exposure to cutting-edge AI infrastructure challenges

Hybrid work environment in San Mateo

Rapid career growth opportunities

Opportunity to build systems powering the future of AI compute

Why Join

This is an opportunity to help build the infrastructure layer powering the next generation of AI applications.

You'll work on highly technical distributed systems challenges involving Kubernetes, cloud platforms, multicloud orchestration, scalability, and reliability while helping organizations manage some of the largest AI workloads in production.

As an early platform engineer, you'll have significant influence over architecture, product direction, and engineering culture while building technology that sits at the center of the rapidly expanding AI ecosystem.