About The Position

Avalara is seeking a Principal Security Engineer to serve as a technical authority for enterprise security architecture, risk, and governance, with a primary focus on the safe and responsible use of AI across the business, as well as application and cloud risk that spans multiple domains. The Principal Security Engineer plays a critical part in defining and enforcing security guardrails for internal and enterprise use of AI, including corporate tooling, workflows, and platforms, providing independent, senior-level security judgment on complex or high-risk security decisions, acting as a final reviewer and escalation point when enterprise or cross-functional risk is involved. Operating outside of the engineering organization, this role partners closely with Security, IT, Product, Platform, Legal, Privacy, and Compliance teams, and provides consultative and escalation-based support to Engineering and Product Security teams when requested.

Requirements

  • Bachelor's degree in Cybersecurity, Computer Science, AI/ML, or a related technical field.
  • 10+ years of experience in security engineering, security architecture, or software engineering, with at least 5+ years in Application Security. Demonstrable experience applying AI/ML in cybersecurity is preferred.
  • Expertise in AppSec tools (Checkmarx, Veracode, Snyk, SonarQube, etc.) and integrating them into modern CI/CD workflows.
  • Hands-on experience building or integrating AI/ML pipelines for use in threat detection, anomaly detection, or predictive risk modeling.
  • Strong background in secure coding, microservices architecture, and defending APIs, web apps, and serverless environments.
  • Proficiency in Python or similar languages for scripting, data processing, and automation.
  • Familiarity with LLMs and generative AI platforms (e.g., OpenAI, Claude, Gemini) and their security implications.
  • Deep understanding of cloud-native technologies (Kubernetes, containers, serverless) and corresponding security controls. This includes general cloud security concepts as well (CSPM, CNAPP)
  • Ability to translate complex security and AI concepts to stakeholders across technical and non-technical roles.

Nice To Haves

  • Master’s degree preferred
  • Certified Information Systems Security Professional (CISSP)
  • Certified Secure Software Lifecycle Professional (CSSLP)
  • Certified Cloud Security Professional (CCSP)
  • GIAC Cloud Security Automation (GCSA)
  • GIAC Web Application Penetration Tester (GWAPT)
  • GIAC Machine Learning & Artificial Intelligence (GMLE) (or equivalent)

Responsibilities

  • AI & Automation-Driven Security
  • Design and implement AI-powered security frameworks to enable adaptive, intelligent detection, prevention, and response capabilities across applications, cloud environments, and infrastructure.
  • Integrate machine learning and behavior analytics into threat detection pipelines to automate identification of anomalies, insider threats, and unknown attack patterns.
  • Lead development of predictive risk scoring engines using contextual telemetry, identity signals, and threat intel to prioritize and automate responses.
  • Architect autonomous security workflows using SOAR, LLM agents, and API integrations for a variety of use cases, particularly those that are considered "AI for Security orgs."
  • Prototype use cases for generative AI, such as automated threat summaries, vulnerability triage, security policy generation, and chatbot assistants for security engineering.
  • AI & Application Security
  • Provide principal-level application and AI security guidance to non-engineering teams, including IT, HR, Legal, Finance/Accounting and other business functions helping them understand and manage application and AI-related risk.
  • Partner with Avalara’s Product Security organization to adopt, support, and reinforce existing secure SDLC standards, tooling, and processes
  • Perform independent risk analysis and threat modeling for applications, platforms, and AI-enabled workflows that fall outside normal Engineering activities or require cross-domain review.
  • Serve as an escalation and second-line advisory resource for high-impact application and AI security risks, providing risk-based recommendations.
  • Advise on secure design patterns for authentication, authorization, API security, and data protection, aligning recommendations with established practices and technology choices.
  • Support security assessments of AI-enabled product and internal features, contributing expertise in LLM threat modeling, abuse-case analysis, and emerging AI-specific risks, in coordination with Product Security and Engineering teams.
  • Cloud & Platform Security
  • Define and review cloud security reference architectures across AWS, Azure, and GCP, with an emphasis on zero-trust principles and identity-driven access controls.
  • Partner with platform and infrastructure teams to harden preventive controls against cloud misconfiguration and drift.
  • Evaluate cloud security tooling and platforms, including AI-assisted capabilities, to improve visibility, prioritization, and operational efficiency while maintaining auditability and control.
  • Serve as an escalation point for complex or high-impact cloud security risks, influencing remediation strategies and risk acceptance decisions.
  • Enablement & Governance
  • Mentor non-engineering teams on AppSec best practices and AI safety principles.
  • Define security metrics and dashboards to track effectiveness of AI and AppSec initiatives.
  • Contribute to Avalara’s broader AI governance efforts, ensuring responsible and secure use of AI in both platform and enterprise environments.

Benefits

  • In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses.
  • Benefits vary by location but generally include private medical, life, and disability insurance.
  • Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship.
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