Senior Security Engineer

Sift Science, Inc.

Job Overview

Location

Seattle, Washington

Job Type

Full-time

Full Job Description

📋 Description

• As a Senior Security Engineer at Sift Science, Inc., you will be a key technical contributor and subject‑matter expert responsible for protecting Sift’s products, infrastructure, and data while enabling rapid and safe engineering delivery.
• You will design, implement, and operate security controls and tooling across Sift’s stack, including IAM policies, network controls, secrets management, endpoint protections, and container and workload security, while embedding with product and platform teams to perform security design reviews, threat modeling, and code or configuration reviews.
• You will work closely with Engineers, SREs, IT, and Legal/Compliance to secure systems end‑to‑end—from application code and CI/CD pipelines to cloud infrastructure and identity—and help define standards, mentor other engineers, and contribute to audits and compliance efforts.
• In this role, you will improve the secure SDLC by integrating AI-powered scanning tools and security scanning (SAST/DAST, dependency and container scanning) into CI/CD, develop guardrails and best practices, own vulnerability management workflows, develop automation to detect misconfigurations and anomalous activity, participate in security incident response, contribute to security documentation and standards, support audits such as SOC 2, and mentor engineers through pairing, reviews, training, and written guidance.

🎯 Requirements

• 5+ years of experience in security engineering, infrastructure engineering, or application security, ideally in a B2B SaaS or cloud‑native environment.
• Hands‑on experience with at least one major public cloud platform (e.g., GCP, AWS), including IAM, networking, logging/monitoring, and security services.
• Strong proficiency in at least one programming or scripting language (e.g., Python, Go, Java, or similar) and experience using code to automate security controls or detection.
• Direct experience with AI/LLM-specific security risks (prompt injection, model supply chain, etc.).
• Demonstrated knowledge of secure application and system design, including authentication/authorization, encryption in transit and at rest, least‑privilege access, and secrets management.
• Experience with security tooling such as vulnerability scanners, SAST/DAST tools, SIEM/centralized logging, endpoint protection, or cloud security posture management.
• Solid understanding of common vulnerabilities and attack patterns (e.g., OWASP Top 10, misconfigurations, supply‑chain risks) and how to mitigate them in practice.
• Ability to work cross‑functionally with engineering, IT, and compliance/legal teams, and to translate security requirements into practical implementation details.
• Clear written and verbal communication skills, including the ability to document designs and decisions and to educate others on security best practices.

🏖️ Benefits

• Opportunity to work on projects that materially reduce risk and strengthen Sift’s security posture in a cloud‑native, AI-powered fraud platform environment.
• Collaborate with a diverse, equitable, and inclusive team that values authenticity and innovation.
• Contribute to industry-leading security practices at a company securing digital trust for over 700 global customers.
• Engage in meaningful work that helps build a safer Internet through advanced machine learning and user identity technologies.
• Professional growth through mentoring, training sessions, and written guidance while shaping security standards across the organization.

Skills & Technologies

Python

Java

AWS

GCP

REST

Senior

Onsite

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Sift Science, Inc.

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About Sift Science, Inc.

Sift is a digital trust and safety platform that helps businesses prevent online fraud and abuse. It uses machine learning to analyze user behavior, device information, and other signals in real-time, allowing companies to make smarter decisions about who to trust. Sift's platform provides tools for fraud detection, account takeover prevention, content moderation, and payment protection. By unifying data across various touchpoints, Sift enables businesses to build secure and seamless customer experiences while reducing operational costs associated with manual review and chargebacks. Their solutions cater to a wide range of industries, including e-commerce, finance, travel, and gaming.

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