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Software Engineer, Infrastructure

employia • United State
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AI Summary

Build and scale the distributed platform powering enterprise identity security for the AI era. Design reliable backend systems, improve platform scalability and performance, and collaborate with product engineers to ship faster and more securely. Requires 4+ years of experience building distributed systems and strong backend development skills in Go or a systems programming language.

Key Highlights
Build and scale distributed platform infrastructure for enterprise identity security
Design reliable backend systems and improve platform scalability and performance
Work directly with enterprise customers and senior platform engineering team
Key Responsibilities
Design and build reliable backend systems for the distributed identity security platform
Improve platform scalability, performance, and reliability at enterprise scale
Build internal developer infrastructure and tooling
Collaborate with product engineers to help the organization ship faster and more securely
Work directly with enterprise customers influencing architecture and infrastructure
Technical Skills Required
Go AWS Kubernetes
Benefits & Perks
$160K-$250K Base + Competitive Equity
Hybrid work model (3 days in office)
Visa Sponsorship Available
Nice to Have
Experience at a leading technology company or high-growth startup
Familiarity with GCP
Experience with Terraform and Kafka

Job Description


About the Company

We're partnering with a fast-growing cybersecurity startup building the identity governance platform for the AI era. As organizations rapidly adopt AI agents, cloud infrastructure, and increasingly complex enterprise systems, managing access securely has become one of the biggest challenges in enterprise software. The company is building an AI-native authorization control plane that enables organizations to manage identities, permissions, service accounts, and AI agents at enterprise scale while maintaining security, compliance, and operational efficiency. Trusted by both Fortune 500 companies and hypergrowth startups, the platform is redefining modern identity security.


Company Snapshot

  • Series B cybersecurity startup backed by Greylock, Battery Ventures, Silicon Valley CISO Investments (SVCI) and other leading security investors, with $34M raised.
  • Trusted by Fortune 500 enterprises and leading technology companies including Databricks and Figma.
  • Team of approximately 60 employees, intentionally lean to maximize ownership and engineering impact.
  • Platform team includes senior engineers from Meta, Google, and successful venture-backed startups.
  • Engineers work directly with enterprise customers, influencing architecture, infrastructure, and product direction without organizational bureaucracy.


Why Candidates Should Join

  • Build the infrastructure powering one of the fastest-growing areas in enterprise software, AI-native identity security.
  • Join a senior platform engineering team with deep distributed systems expertise from leading technology companies.
  • Own critical platform infrastructure serving enterprise customers at scale.
  • Influence engineering standards, architecture, and platform strategy from an early stage.
  • Work directly with customers and leadership while receiving meaningful equity in a high-growth company.


About the Role

You'll join as a Software Engineer, Infrastructure, building and scaling the distributed platform that powers enterprise identity security. You'll design reliable backend systems, improve platform scalability and performance, build internal developer infrastructure, and collaborate closely with product engineers to help the organization ship faster and more securely.


Qualifications

  • 4+ years of experience building distributed systems as a software engineer (not purely SRE or DevOps).
  • Experience building platform infrastructure, backend services, or developer platforms supporting engineering teams.
  • Strong software engineering fundamentals with the ability to pass a rigorous coding interview.
  • Experience designing and scaling large distributed systems serving enterprise or multi-tenant SaaS workloads.
  • Strong backend development experience in Go (Golang) or another systems programming language.
  • Experience with AWS or GCP, plus familiarity with Kubernetes, Terraform, and Kafka.
  • Previous experience at a leading technology company or high-growth startup with strong engineering culture is highly preferred.


Pay range and compensation package

Compensation: $160K–$250K Base + Competitive Equity

Location: San Francisco, CA

Work Model: Hybrid (3 days in office)

Visa Sponsorship: Available


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