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Senior Security Engineer

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Senior Security Engineer in USA

  • Abnormal Security
  • Full time
  • Email
  • Remote

Responsibilities

  • Lead threat modeling and security design discussions with platform and product teams.
  • Review product security architectures for data exposure, access control, and abuse-case risks.
  • Build scalable AWS preventative controls using Terraform or CloudFormation and conduct least-privilege and blast-radius reviews.
  • Evaluate and improve commercial, cloud-native, and AI-assisted security tooling.
  • Prototype and productionize automation for signal correlation, alert enrichment, and known-issue auto-remediation.
  • Build and validate integrations among AWS, SIEM, SOAR, IAM, and other security tooling.
  • Contribute hands-on technical judgment during security incidents, including log and telemetry triage.
  • Create reusable AI-assisted playbooks for IaC security review, detection authoring, and alert triage.
  • Mentor engineers and encode security review feedback into reusable standards and playbooks.
  • Influence engineering, infrastructure, product, and IT teams through clear security documentation and collaboration.

Requirements

  • Proven experience delivering security engineering or infrastructure security solutions, preferably in cloud-native environments.
  • Deep knowledge of AWS architecture and identity/access patterns, including IAM, STS, cross-account roles, resource policies, VPC, network segmentation, and KMS; working knowledge of Azure and GCP is also required.
  • Strong scripting and development fundamentals in Python and/or Go, with proficiency in Git, Linux, and infrastructure automation patterns.
  • Experience directing AI coding or agent tools such as Claude Code, Cursor, or Copilot while validating AI-generated infrastructure and security logic.
  • Expertise integrating or building tooling for SIEM, SOAR, vulnerability management, and CSPM platforms.
  • Experience deploying security controls through Infrastructure-as-Code with Terraform or CloudFormation, primarily in AWS.
  • Ability to investigate logs, trace events, and contribute to incident analysis workflows.
  • Proven ability to influence and collaborate cross-functionally with engineering, infrastructure, product, and IT teams.
  • Strong written communication, documentation, and complex-design communication skills.
  • Experience using and securing Kubernetes, including workload security and service mesh controls.
  • Experience in fast-paced or startup environments is preferred.
  • Experience building or operating agentic AI workflows for security use cases is preferred.
  • Familiarity with JavaScript or TypeScript for DevOps tooling or plugins is preferred.
  • Hands-on experience with commercial cloud security tools such as CNAPP, CSPM, DSPM, or KSPM is preferred.
  • Experience building security telemetry pipelines or log correlation frameworks is preferred.
  • Exposure to SOC 2 and ISO 27001 compliance frameworks is preferred.
  • Familiarity with CI/CD systems and integrating security checks into developer workflows is preferred.

Benefits

  • Base salary ranges from $153,000 to $220,000 USD.
  • The role may include bonus or incentive compensation, equity, and a comprehensive benefits package.
  • Abnormal AI is an equal opportunity employer and conducts required pre-employment checks in accordance with applicable legislation and company policies.

Salary: $153k - $220k/yr

Abnormal Security

Abnormal AI is the leading AI-native human behavior security platform, leveraging machine learning to stop sophisticated inbound attacks and detect compromised accounts across email and connected applications.

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