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!
What you'll do
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).
Nice to have
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.