Senior Security Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $153k - $220k / year

⏰ Full Time

🟠 Senior

👮‍♂️ Cybersecurity / Security Engineer

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👻 Ghost score 2%

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Abnormal Security

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🔒 Cybersecurity

Cybersecurity

Abnormal Security is a provider of cloud-native email security solutions that specializes in preventing a wide array of cyber threats. The company focuses on protecting businesses from attacks such as phishing, malware, ransomware, and social engineering, ensuring total protection for corporate email systems. Their offerings include business email security, phishing detection, and securing against account takeovers, making them a leader in the computer and network security space.

📋 Description

• Lead threat modeling and security design discussions with platform and product teams • Translate risks into engineering actions and use AI to stress-test designs against attack scenarios • Review security architecture for new product features, including data exposure, access control, and abuse-case risk • Build scalable preventative controls in AWS using Infrastructure-as-Code and AI coding agents • Evaluate and improve commercial, cloud-native, and AI-assisted security tooling • Mentor engineers on effective use of AI for security engineering • Prototype and productionize automation for signal correlation, alert enrichment, and auto-remediation • Architect, build, and validate integrations between AWS and security tooling such as SIEM, SOAR, and IAM platforms • Contribute hands-on during security incidents, using AI to accelerate log and telemetry triage • Build and maintain reusable AI-assisted security playbooks for IaC review, detection authoring, and alert triage • Partner with platform engineering, product engineering, infrastructure, DevOps, and IT teams as a technical liaison

🎯 Requirements

• Proven delivery in security engineering or infrastructure security roles, ideally in cloud-native environments • Deep comprehension of AWS architecture and identity/access patterns, including IAM, STS, cross-account roles and resource policies, VPC and network segmentation, and KMS • Working knowledge of Azure and GCP • Strong scripting and development fundamentals in Python and/or Go • Proficiency with Git, Linux, and infrastructure automation patterns • Demonstrated fluency directing AI coding/agent tools such as Claude Code, Cursor, or Copilot • Expertise integrating or building tooling for SIEM, SOAR, vulnerability management, and CSPM platforms • Experience deploying security controls via Infrastructure-as-Code using Terraform or CloudFormation, primarily in AWS • Ability to investigate logs, trace events, and contribute to incident analysis workflows • Ability to influence and collaborate cross-functionally with engineering, infrastructure, product, and IT teams • Strong written communication and documentation skills • Background using and securing Kubernetes, including workload security and service mesh controls

🏖️ Benefits

• Bonus or incentive compensation may be available • Equity may be available • Comprehensive benefits package • Pre-employment checks and recruiting processes aligned with applicable legislation and Abnormal AI policies