our company's 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, youll play a key role in ensuring the scalability, reliability, and performance of our cloud-native SaaS platform operating at scale.
Key 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.
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, youll play a key role in ensuring the scalability, reliability, and performance of our cloud-native SaaS platform operating at scale.
Key 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.
Requirements:
Experience:
25 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.
Experience:
25 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.
This position is open to all candidates.
