DevOps Engineer

Posted 6 Days Ago
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Glil Yam, ISR
Hybrid
Mid level
Artificial Intelligence • Machine Learning • Natural Language Processing • Software
The Role
Build and operate reliable, secure, high-scale cloud infrastructure and deployment systems. Responsibilities include managing AWS environments, Kubernetes and Helm workloads, GitHub Actions CI/CD pipelines, ArgoCD GitOps workflows, infrastructure as code, monitoring, security, incident response, performance optimization, and failover. The role also emphasizes automating repetitive work and applying AI tools, AIOps, and coding assistants to improve developer experience, reliability, troubleshooting, and operational efficiency.
Summary Generated by Built In
Description

CommBox is a CX AI platform that enables enterprises to deliver intelligent, automated, and personalized customer experiences across all digital channels. Powered by advanced AI, large language models, and real-time decisioning, CommBox transforms customer interactions into proactive, context-aware journeys-boosting efficiency, empowering agents, and driving measurable business outcomes at enterprise scale.

As a DevOps Engineer at CommBox, you’ll keep our high-traffic production environments fast, reliable, and secure-and you’ll do it with modern tooling and a strong bias toward automation. We’re looking for someone who treats AI as a force multiplier: curious about new tools, quick to adopt them, and always looking for ways to use AI to eliminate toil, accelerate delivery, and improve operational quality.

If you’re passionate about perfecting technology beyond your imagination and want to take part in the revolution of business automation while having a great time doing it – CommBox is the perfect place for you!

Responsibilities

  • Build, maintain, and improve our CI/CD pipelines using GitHub Actions to support automated testing, linting, and security gates for daily, low-friction deployments.
  • Operate and evolve our GitOps workflow with ArgoCD as the source of truth for cluster state.
  • Manage various AWS environments across multiple accounts using Infrastructure as Code, and help optimize edge performance and security.
  • Run and troubleshoot Kubernetes (EKS) workloads and contribute to shared Helm charts that abstract complexity for developers while enforcing security and compliance standards.
  • Handle technical challenges around performance, scale, and security, and provide root-cause analysis for production incidents.
  • Leverage AI tools-coding assistants, AIOps, and automation-to accelerate delivery, script and tooling development, incident diagnosis, and routine operational workflows.
  • Continuously identify and automate away repetitive manual work, proposing improvements to reliability, observability, and developer experience.
  • Collaborate with the R&D team to optimize service performance, deployment, reliability, failover, and scale.
  • Maintain awareness of best industry practices regarding CloudOps, fast deployment, security, and monitoring tools.

Job Requirements

  • 4+ years of experience as a DevOps/SRE/Platform engineer in a high-scale, high-traffic environment.
  • 4+ years of experience with AWS solutions (EC2, RDS, VPC, S3, Lambda, CloudFront, IAM).
  • Hands-on experience with Docker and container orchestration; working knowledge of Kubernetes (EKS) and Helm.
  • Experience building CI/CD pipelines and GitOps flows (GitHub Actions, ArgoCD, or equivalents).
  • Hands-on experience with scripting languages (Bash/Python), and comfort using AI coding assistants to speed up script generation, tooling, and troubleshooting.
  • A demonstrated passion for learning and adopting AI tools to enable and optimize DevOps work-you actively experiment with new tools and bring them into daily practice.
  • Experience with both Linux and Windows-based systems, with an understanding of system performance and security.
  • Experience with source code management and infrastructure automation (GitHub, and IaC tools).
  • Experience managing and troubleshooting cloud and hybrid web environments.
  • Experience with database management (MySQL, Redis, Elasticsearch/OpenSearch).

Advantage

  • Experience with AIOps and using AI/ML to predict failures, automate root-cause analysis, and optimize resource allocation.
  • Experience with Kubernetes, CloudFormation, Terraform, and NewRelic.
  • Experience managing traffic and security with Cloudflare (WAF, Workers, CDN).
  • Experience with ELK, IIS, and Directory Services.
  • Familiarity with SAST/security scanning tools and shift-left security practices.
  • Knowledge of infrastructure as code and familiarity with DevOps cultural principles.

Skills Required

  • 4+ years of experience as a DevOps, SRE, or Platform Engineer in a high-scale, high-traffic environment
  • 4+ years of experience with AWS solutions, including EC2, RDS, VPC, S3, Lambda, CloudFront, and IAM
  • Hands-on experience with Docker and container orchestration
  • Working knowledge of Kubernetes EKS and Helm
  • Experience building CI/CD pipelines and GitOps workflows using GitHub Actions, ArgoCD, or equivalents
  • Hands-on experience with Bash or Python scripting
  • Comfort using AI coding assistants for script generation, tooling, and troubleshooting
  • Demonstrated interest in learning and adopting AI tools for DevOps work
  • Experience with Linux and Windows-based systems, including system performance and security
  • Experience with source code management and infrastructure automation, including GitHub and IaC tools
  • Experience managing and troubleshooting cloud and hybrid web environments
  • Experience with database management, including MySQL, Redis, and Elasticsearch or OpenSearch
  • Experience with AIOps or AI/ML for failure prediction, root-cause analysis, or resource optimization
  • Experience with Kubernetes, CloudFormation, Terraform, and NewRelic
  • Experience managing traffic and security with Cloudflare, including WAF, Workers, or CDN
  • Experience with ELK, IIS, and Directory Services
  • Familiarity with SAST/security scanning tools and shift-left security practices
  • Knowledge of infrastructure as code and DevOps cultural principles
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The Company
112 Employees
Year Founded: 2013

What We Do

CommBox is an omnichannel, AI-driven customer-experience platform that empowers businesses to deliver seamless, personalized interactions across multiple touchpoints. It uses natural language processing and machine learning for intelligent automation, contextual engagement, and real-time analytics, helping improve customer satisfaction and business outcomes. The platform provides a unified way to manage communications across WhatsApp, Facebook, Messenger, Instagram, SMS, email, web chat, video, and voice while supporting broader business automation.

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