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5 часов назад

Senior DevSecOps Engineer (Cybersecurity)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior DevSecOps Engineer (AWS/Kubernetes): Strengthening the security of cloud-native infrastructure and development pipelines with an accent on SDLC security integration, IaC, and Kubernetes hardening. Focus on automating security controls, designing secure CI/CD pipelines, and optimizing system reliability across cloud and on-prem environments.

Location: Tel Aviv

Company

hirify.global is an AI-driven cybersecurity company that protects nations and critical infrastructure using proprietary Cyber Language Models.

What you will do

  • Integrate security practices into CI/CD pipelines across the entire software development lifecycle (SDLC).
  • Design and implement automated security solutions for vulnerability scanning, compliance checks, and threat detection.
  • Build and maintain secure, scalable cloud environments using Infrastructure as Code (Terraform, Ansible).
  • Manage and harden Kubernetes workloads, focusing on configuration, access control, and image security.
  • Conduct security assessments, penetration testing, and compliance audits to improve the security posture.
  • Enhance observability by integrating monitoring, logging, and SIEM solutions.

Requirements

  • 5-8 years of experience in DevOps/Security with a focus on secure infrastructure and application security.
  • Expertise in cloud security (AWS, GCP, Azure) and IaC tools like Terraform and Ansible.
  • Experience integrating security into CI/CD pipelines using Jenkins, GitHub Actions, and ArgoCD.
  • Proficiency in security practices (SAST, DAST, SCA, secret scanning) and compliance frameworks (CIS, NIST, ISO 27001, SOC2).
  • Strong scripting skills in Python and Bash for automating security tasks.
  • Knowledge of zero-trust models, IAM, and secrets management.

Nice to have

  • Experience securing endpoint products such as agents, sensors, or collectors.
  • Background in AI security, including securing ML models and training pipelines.
  • Hands-on experience with policy as code tools like OPA (Open Policy Agent) or Kyverno.
  • Familiarity with compliance frameworks like HIPAA, PCI-DSS, or FedRAMP.

Culture & Benefits

  • Opportunity to work at the intersection of AI and cybersecurity to protect critical infrastructure.
  • Collaborative environment driven by passion, expertise, and innovative minds.
  • Focus on tackling real-world challenges and redefining cyber defense vision.

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