Senior Security Engineer

Role Overview

• Monitor active threats, perform in-depth analysis of AI-related attack vectors (e.g., prompt injection, model poisoning), and lead the development of comprehensive remediation plans.
• Monitor, audit, detect, and remediate critical security exposures across our cloud infrastructure.
• Respond to security incidents and manage the end-to-end incident response lifecycle.
• Implement advanced automation and AI agents for security tasks, including detection rule testing, auditing, metrics collection, and reporting to improve operational efficiency.
• Work cross-functionally with engineering teams to architect secure, scalable solutions, including implementing security guardrails and governance for AI/ML workloads, and evaluating third-party security tools.
• Serve as a recognized security expert in multiple specialty areas and maintain a strong awareness of the external threat landscape.
• Drive the implementation of security, technical, and process improvements across the organization.

Requirements

• At least 4+ years of industry experience in security engineering or a related field.
• Strong hands-on experience with AWS services (VPC, EC2, S3, EKS) and associated networking, IAM, and security controls in production environments.
• Solid understanding of Docker and containerization, including building, optimizing, scanning, and securing container images and workflows.
• Strong knowledge of Kubernetes architecture and experience operating or securing platforms like EKS in production.
• Proficiency with Terraform for provisioning and managing cloud infrastructure in a repeatable, scalable manner.
• Proficiency in at least one scripting or programming language, with a strong preference for Python to support security tooling and automation.
• Foundational knowledge of general networking concepts, including TCP/IP, DNS, routing, firewalls, and load balancing across cloud and containerized environments.
• In-depth knowledge of Threat/Intrusion Detection, Vulnerability Management, and specialized expertise in securing AI agents, LLMs, and Model Context Protocol (MCP) environments.
• MS or Bachelor’s degree in Computer Science or an equivalent field, or equivalent experience.
• Experience using AI-assisted development tools (e.g., Copilot, Cursor, LLMs)
• Familiarity with compliance standards such as ISO 27001, SOC2, NIST, SOX, and PCI is a plus.
• Experience with IAM tools (Okta, OneLogin), Zero Trust architectures, and Data Loss Prevention (DLP) solutions is a plus.
• Experience with access control and PII management is a plus.
• Previous experience in the financial services industry is highly preferred and is a plus.
• Experience with security orchestration, automation, and response (SOAR) technologies is a plus

Tech Stack

• AWS
• Cloud
• DNS
• Docker
• EC2
• Firewalls
• Kubernetes
• Python
• TCP/IP
• Terraform

Benefits

• healthcare
• internet and cell phone reimbursement
• learning and development stipend
• potential opportunities to travel to our Mountain View headquarters