Senior Cloud Security Engineer

TL;DR

Senior Cloud Security Engineer: Ensuring the security of hirify.global's cloud infrastructure and customer data with an accent on automation, assessments, and vulnerability evaluation. Focus on improving cloud security capabilities and supporting peers in building a secure product through security by design.

Location: Atlanta, Georgia; Austin, Texas; Boston, Massachusetts; Chicago, Illinois; Hybrid - Denver; Hybrid - New York; Hybrid - San Francisco

Salary: $138,500 - $213,000

Company

hirify.global is the leading AI-powered customer engagement platform that helps leading brands create dynamic, individualized experiences at scale.

What you will do

• Review system designs and implementations, and consult with engineers to identify and avoid security issues through alignment with security standards and best practices.
• Leverage subject matter expertise of systems and infrastructure to propose solutions and drive architectural improvements that address classes of security vulnerabilities.
• Develop and implement cloud and infrastructure security architecture and contribute to overall strategy and roadmap plans.
• Participate in the selection, design, development, implementation, and management of automated security testing tools.
• Implement solutions that integrate into CI pipelines to shift security as far left as possible and raise concerns early to engineering teams.
• Promote DevSecOps principles and implement Infrastructure as Code (IaC) scanning and policy enforcement.

Requirements

• 5+ years of hands-on experience in Cloud Security, SRE, DevOps, DevSecOps, or Infra Engineering.
• Strong working knowledge of Kubernetes and ecosystem tools.
• Production experience with AWS services.
• Proficiency with Terraform.
• Experience developing custom actions or workflows in Github or Gitlab.
• Solid understanding of cloud security vulnerabilities defense techniques and security best practices.
• Proficiency in a high-level programming language, such as Python or Go.

Nice to have

• GCP experience.
• Scala or JVM ecosystem experience.
• Familiarity with common observability tools such as Datadog, Prometheus/Grafana.
• Experience with AWS EKS.
• Experience with Panther SIEM.
• Hands-on work standing up Jupyter notebook instances, using Jupyter operationally.

Culture & Benefits

• Competitive salaries, meaningful equity, & 401(k) plan.
• Medical, dental, vision, & life insurance.
• Balance Days (additional paid holidays).
• Flexible PTO.
• Monthly Employee Wellness allowance.
• Monthly Professional Development allowance.