Security Engineer II- Infrastructure

Rippling•Seattle, WA
•$135,000 - $225,000

About The Position

As an Infrastructure Security Engineer II at Rippling, you will help safeguard the company’s infrastructure and shape its infrastructure security strategy. You will work with infrastructure, corporate security, detection and response, and product security teams to implement robust security guardrails and create secure, seamless pathways. The role emphasizes secure defaults and end-to-end automation. You will secure the development and deployment ecosystem across areas such as AWS, containers and service mesh, data stores, AI and machine learning, networks and traffic, and the software supply chain. You will also help platform and infrastructure teams transition securely to a Service Oriented Architecture, advance organizational data security, define useful security metrics, address critical security issues, and participate in security design reviews and threat modeling. AI tools are used to accelerate security engineering, investigations, detections, automation, and team workflows, with outputs validated through sound judgment.

Requirements

  • At least 5 years of experience in security or software engineering within a cloud environment.
  • Programming proficiency in Python or Go for security-related development.
  • Comfort using AI tools for investigation, analysis, detection engineering, and security automation; ability to validate outputs and recognize when deeper manual investigation is needed.
  • In-depth knowledge of AWS security controls and services.
  • Ability to thrive in a fast-paced environment, identify impactful opportunities, and independently drive solutions.

Responsibilities

  • Implement security controls across the development and deployment ecosystem, including AWS, containers and service mesh, data stores, AI and machine learning, networks and traffic, and the software supply chain.
  • Assist platform and infrastructure teams in securely transitioning to a Service Oriented Architecture (SOA).
  • Use AI tools to prototype detections and automations, accelerate investigations, improve workflows, and replace repetitive manual work with durable systems.
  • Lead efforts to enhance data security across the organization and support compliance and resilience.
  • Establish and communicate actionable security metrics that provide clear insights and drive improvements.
  • Identify and resolve security issues in critical areas.
  • Participate in security design reviews and threat modeling exercises to address potential vulnerabilities proactively.

Benefits

  • Competitive salary
  • Benefits
  • Equity
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service