Security Engineer (Cloud)

TL;DR

Security Engineer (Cloud): Securing cloud infrastructure, CI/CD, and platform workflows through automation and everything-as-code practices with an accent on multi-cloud guardrails and software supply chain security. Focus on designing scalable security controls, automating compliance tasks, and partnering with platform engineering to reduce systemic risk.

Location: Remote (United States or Canada)

Salary: $150,000 – $228,000 USD (depending on tier and location)

Company

hirify.global is an AI software development company building a secure, standardized, and governed AI Development Environment for autonomous coding agents.

What you will do

• Design and implement scalable guardrails for multi-cloud infrastructure across AWS and GCP.
• Harden CI/CD pipelines and platform workflows to enhance software supply chain security.
• Implement and promote an everything-as-code approach for infrastructure, configuration, and policy.
• Automate repetitive security and compliance tasks to maintain framework alignment.
• Triage and review findings from cloud security tools, including CNAPP and CSPM platforms.
• Partner with engineering teams to prioritize risks, resolve findings, and improve controls.

Requirements

• 3+ years of professional experience in infrastructure, cloud, or platform security.
• Hands-on public cloud security experience (AWS and/or GCP preferred).
• Strong CI/CD security experience with tools like GitHub Actions or GitLab CI.
• Infrastructure-as-code mindset with experience in Terraform or policy-as-code.
• Familiarity with modern cloud security tooling (CNAPP, CSPM).
• Must be based in the United States or Canada.

Nice to have

• Experience securing containerized workloads with Docker and Kubernetes.
• Working knowledge of compliance frameworks such as SOC 2 or ISO 27001.
• Experience utilizing AI tools to optimize security workflows and automation.

Culture & Benefits

• Equity and bonus opportunities offered across all tiers.
• Transparent, consistent, and human-centric hiring process.
• AI-forward culture that embraces AI tooling for technical assessments.
• Focus on solving high-impact problems in the emerging agentic AI space.

Hiring process

• Process typically completes within two to four weeks.
• Interviews with a mix of individual contributors, managers, and senior leaders.
• Take-home assessment where AI tooling is permitted if disclosed.