Infrastructure Security Engineer

Upstart · Fintech · Remote · InfoSec

Upstart is seeking an Infrastructure Security Engineer to secure its cloud, compute, platform, and deployment layers. The role involves designing and implementing security controls, partnering with engineering teams, building automation for infrastructure security, and responding to production security issues. A key responsibility includes assessing and improving security controls for AI-assisted developer workflows and GenAI-enabled systems.

What you'd actually do

  1. Design and implement security controls for cloud, platform, and deployment systems, with a focus on secure defaults and durable risk reduction.
  2. Partner with platform, SRE, and infrastructure teams to review architecture and infrastructure changes, identify security risks, and drive practical remediation plans.
  3. Build and improve automation for infrastructure security, including controls for cloud IAM, Kubernetes and container environments, secrets handling, and infrastructure-as-code workflows.
  4. Identify and remediate systemic weaknesses such as misconfigurations, exposed services, weak trust boundaries, and insecure defaults in production environments.
  5. Help assess and improve security controls for AI-assisted developer workflows and GenAI-enabled systems, including agentic tooling, coding assistants, and internal AI integrations that interact with production or sensitive environments.

Skills

Required

  • Experience securing or operating cloud-native infrastructure in AWS or a similar cloud environment.
  • Experience with one or more of the following domains: cloud IAM, Kubernetes/container security, network security, secrets management, or infrastructure vulnerability management.
  • Experience writing code or automation in Python, Go, Java, or a similar programming language.
  • Experience reviewing system designs, infrastructure changes, or architecture proposals and driving actionable security outcomes.
  • Experience with infrastructure-as-code and CI/CD tooling such as Terraform, Helm, GitHub Actions, or similar technologies.
  • Experience investigating and resolving moderately complex production or security issues using logs, metrics, and debugging tools.
  • Experience using AI-assisted engineering tools responsibly, with an understanding of security considerations such as sensitive data exposure, unsafe automation, access boundaries, or insecure use of generated code and infrastructure changes.

Nice to have

  • Experience building preventative guardrails or automated controls that are adopted by multiple engineering teams.
  • Familiarity with production access control patterns for engineers and service identities.
  • Experience with Kubernetes, service-to-service trust models, workload identity, or runtime security controls.

What the JD emphasized

  • security controls for AI-assisted developer workflows and GenAI-enabled systems