Cybersecurity Engineer (Cloud)

TL;DR

Cybersecurity Engineer (Cloud/Automation): Designing and operating the infrastructure, automation, and data pipelines for hirify.global's Active Defense charter with an accent on platform reliability and security data orchestration. Focus on building scalable substrate for AI-driven security execution, implementing IaC, and reducing operational toil through intelligent automation.

Location: Hybrid; must spend at least 50% of time each quarter in the office or in the field (USA)

Salary: $130,200 - $195,400 USD

Company

A Fortune 500 company and a leading AI platform for managing people, money, and agents.

What you will do

• Own the infrastructure-as-code and platform substrate for security data and automation services.
• Design and operate data pipelines that ingest, transform, and route security data reliably at scale.
• Harden continuous delivery and cloud-security posture to ensure services are secure by default.
• Build and maintain integrations across security tools including SOAR, SIEM, EDR, and vulnerability scanners.
• Develop shared skills and reusable scaffolds to raise the team's AI-augmented engineering standards.
• Prototype, test, and ship security infrastructure solutions through iterative cycles.

Requirements

• Strong Python skills for automation, APIs, and shipping production-ready code.
• Deep hands-on experience with Terraform and CI/CD tools (Jenkins, GitHub Actions).
• Fluency across AWS services (Lambda, ECS, S3, IAM, KMS, VPC, and EMR/Batch/Glue/EKS).
• Experience with Docker and modern deployment patterns.
• Working knowledge of identity and access, secrets management, and cloud-security configuration.
• Ability to own on-call responsibilities and ensure operational readiness.

Nice to have

• Experience with security tools for triage and investigation (SIEM, scanners).
• DevOps depth in contributing to shared platform components and observability tooling.
• Data engineering skills with Spark, Trino, Hive, and SQL.
• Hands-on use of AI-augmented development workflows (Copilot, LLM-driven code review).

Culture & Benefits

• Flex Work policy combining in-person time and remote flexibility.
• Culture rooted in integrity, empathy, and shared enthusiasm.
• Investment in professional growth and tools for long-term skill development.
• Comprehensive benefits package including bonus plans and stock grants.