We're seeking an experienced DevOps Engineer to design, automate, and maintain cloud-native infrastructure for scalable microservices deployments while working closely with the SRE team. This role requires 3+ years of hands-on cloud experience with strong Kubernetes expertise and GitOps practices to support development and QA teams across production and development environments.
Provision and manage infrastructure using Terraform IaC across cloud platforms.
Orchestrate advanced Kubernetes deployments with ArgoCD, Helm charts, and GitOps workflows.
Build and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, or equivalents.
Implement full observability stack with Grafana (Prometheus, Loki, Tempo), Azure Monitor, or equivalent tools for comprehensive metrics, logs, and tracing.
Containerize microservices with Docker and deploy across multi-environment setups.
Automate operations with Bash scripting; develop custom tools in Python/Go as needed.
Manage databases including MongoDB; handle basic L3/L4 networking, protocols, and DNS.
Collaborate closely with SRE team on reliability, incident response, and on-call rotations.
About Us:
We are a global leader in enterprise voice technology and Voice AI innovation for the digital workplace and customer experience. We help organizations unlock the full value of voice, transforming every conversation into a strategic asset that drives smarter decisions, better experiences and business growth. Our portfolio spans secure voice infrastructure, unified communications and contact center, with next-generation AI-powered voice solutions. With over 30 years of expertise and presence in more than 100 countries, we are trusted by 65 of the Fortune 100 to power intelligent, agile and future-ready interactions across businesses worldwide.
Provision and manage infrastructure using Terraform IaC across cloud platforms.
Orchestrate advanced Kubernetes deployments with ArgoCD, Helm charts, and GitOps workflows.
Build and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, or equivalents.
Implement full observability stack with Grafana (Prometheus, Loki, Tempo), Azure Monitor, or equivalent tools for comprehensive metrics, logs, and tracing.
Containerize microservices with Docker and deploy across multi-environment setups.
Automate operations with Bash scripting; develop custom tools in Python/Go as needed.
Manage databases including MongoDB; handle basic L3/L4 networking, protocols, and DNS.
Collaborate closely with SRE team on reliability, incident response, and on-call rotations.
About Us:
We are a global leader in enterprise voice technology and Voice AI innovation for the digital workplace and customer experience. We help organizations unlock the full value of voice, transforming every conversation into a strategic asset that drives smarter decisions, better experiences and business growth. Our portfolio spans secure voice infrastructure, unified communications and contact center, with next-generation AI-powered voice solutions. With over 30 years of expertise and presence in more than 100 countries, we are trusted by 65 of the Fortune 100 to power intelligent, agile and future-ready interactions across businesses worldwide.
Requirements:
Strong experience with Kubernetes (Helm, ArgoCD GitOps) and Docker.
Hands-on experience with microservices architecture and deployments.
Infrastructure as Code using Terraform; solid Git workflows.
Proficiency in Bash scripting; Python or Go is a strong advantage.
CI/CD pipeline implementation (Azure DevOps or GitHub Actions).
Basic networking knowledge (TCP/IP, HTTP, DNS, routing/firewalls).
Qualifications:
3+ years of DevOps experience in production environments.
Proven ability to collaborate with development, QA, and SRE teams.
Experience with system reliability, monitoring, and incident management.
Strong troubleshooting and problem-solving skills.
Familiarity with Agile/DevOps practices.
BSc in Computer Science or equivalent – advantage
Nice to Have:
Observability tools (Grafana stack: Prometheus, Loki, Tempo) or Azure Monitor.
Experience with MongoDB or general SQL/NoSQL databases.
Strong experience with Kubernetes (Helm, ArgoCD GitOps) and Docker.
Hands-on experience with microservices architecture and deployments.
Infrastructure as Code using Terraform; solid Git workflows.
Proficiency in Bash scripting; Python or Go is a strong advantage.
CI/CD pipeline implementation (Azure DevOps or GitHub Actions).
Basic networking knowledge (TCP/IP, HTTP, DNS, routing/firewalls).
Qualifications:
3+ years of DevOps experience in production environments.
Proven ability to collaborate with development, QA, and SRE teams.
Experience with system reliability, monitoring, and incident management.
Strong troubleshooting and problem-solving skills.
Familiarity with Agile/DevOps practices.
BSc in Computer Science or equivalent – advantage
Nice to Have:
Observability tools (Grafana stack: Prometheus, Loki, Tempo) or Azure Monitor.
Experience with MongoDB or general SQL/NoSQL databases.
This position is open to all candidates.
