Check Point Infinity External Risk Management, otherwise known as Cyberint, continuously reduces external cyber risk by managing and mitigating an array of digital threats with a unified solution.
At Cyberint, we help organizations protect their digital presence by delivering cutting-edge Attack Surface Management (ASM) and Threat Intelligence (TI) solutions. As a member of our R&D organization, you’ll play a key role in ensuring the scalability, reliability, and performance of our cloud-native SaaS platform operating at scale.
Your Impact & Responsibilities:
As a DevOps Engineer, you will be a core member of our DevOps & Infrastructure team, focused on building and maintaining distributed, scalable, and highly available systems in a dynamic SaaS environment. You will collaborate closely with development, QA, and support teams to enhance automation, improve CI/CD pipelines, and drive operational excellence across the board.
Key Responsibilities:
- Design, build, and maintain infrastructure in a modern cloud-native SaaS ecosystem (primarily AWS).
- Contribute to the scalability and reliability of distributed systems supporting high-volume data processing and real-time operations.
- Develop and enhance CI/CD pipelines to support rapid and reliable deployments across multiple environments.
- Implement and manage Infrastructure as Code (IaC) using Terraform for consistent, scalable infrastructure.
- Operate and optimize Kubernetes (EKS) clusters to support distributed microservices architectures.
- Monitor and respond to system alerts, troubleshoot issues, and contribute to incident prevention and response strategies.
- Build self-service tools and automation frameworks to empower R&D teams and enhance delivery velocity.
- Work cross-functionally with developers, QA, and support to ensure infrastructure meets evolving product needs.
- Write and maintain scripts (Python, Bash) to automate recurring tasks and streamline operations.
- Continuously identify and execute improvements in system performance, availability, and cost-efficiency.
Your Knowledge & Skills:
Experience:
- 2–5 years of experience in DevOps, SRE, or infrastructure engineering roles, working with distributed systems and SaaS applications.
- Hands-on experience with public cloud providers (AWS strongly preferred).
- Production experience with tools such as Kubernetes, Terraform, CI/CD platforms (Jenkins, ArgoCD), and monitoring systems (Prometheus, Grafana).
Skills:
- Solid grasp of Infrastructure as Code principles and best practices.
- Strong knowledge of distributed systems, microservices, and orchestration technologies.
- Proficiency in scripting (Python, Bash) for automation and tooling.
- Familiarity with logging and monitoring stacks (e.g., Elasticsearch, Redis, CloudWatch, Grafana, Prometheus).
- Awareness of DevOps security practices and cloud cost optimization strategies.
Mindset & Traits:
- A strong sense of ownership and accountability for system health and performance.
- Passion for automation, self-service, and continuous improvement.
- Excellent communication and collaboration skills.
- Comfortable working in fast-paced SaaS environments with cross-functional teams.
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