Staff DevOps Engineer
Location: Armenia | Hybrid
As a Staff DevOps Engineer, you will own the reliability and scalability of the infrastructure behind our production products, including speech APIs, real-time streaming services, and voice AI platforms. You will be deeply involved in high-impact projects across the company.
This means hands-on work on highly available production systems on AWS, Azure, Google Cloud and on-prem, and leading architecture decisions for multi-region, multi-cloud and private cloud deployments. You will work closely with engineering, SDK and product teams.
What you'll do
•Work on the reliability of core production services end-to-end, with the goal of delivering and maintaining a 99.9% SLA
•Design and lead infrastructure architectures for multi-region, multi-cloud and private cloud / on-premise deployments for enterprise customers
•Design and build failover mechanisms, including auto-failover between regions and cloud providers
•Build monitoring, alerting and observability tooling that helps detect issues fast, support incident management, and keep historical monitoring data
•Improve stability and latency of real-time streaming services (WebSocket-based), and optimize network cost and latency across regions
•Own deployment of new ML models and new product features to production together with engineering teams
•Participate in and lead production incident response, root cause analysis, and post-incident improvements
•Design, implement and maintain CI/CD pipelines (Jenkins, GitHub Actions)
•Manage patching and security across systems, and integrate security tools into infrastructure
•Drive DevOps best practices, standards and documentation across the team
What we are looking for
Must-have
•5+ years of hands-on DevOps experience, including ownership of highly available production systems
•Proven experience designing and operating systems with strict SLA requirements (99.9% or higher)
•Deep production experience with Kubernetes (EKS preferred) and containers, including migrations from other orchestration platforms
•Strong experience with at least one major cloud provider (AWS preferred); experience with multi-region and multi-cloud architectures
•Hands-on experience with Infrastructure-as-Code tools (Terraform and/or Ansible)
•Experience designing CI/CD pipelines with Jenkins and GitHub Actions
•Strong experience with monitoring and observability stacks (Prometheus, Grafana, or similar) and incident management processes
•Solid fundamentals in networking (TCP/IP, DNS, load balancing, VPNs, firewalls, CDN)
•Strong Linux system administration skills
•Proficiency with scripting languages (bash, Python, or similar) for automation
•Strong proficiency in using Claude Code and AI-assisted coding workflows
Nice-to-have
•Experience with private cloud or on-premise deployments for enterprise customers
•Experience with real-time / low-latency streaming systems (WebSocket, WebRTC, gRPC)
•Experience deploying and serving ML models in production (GPU workloads, inference platforms)
•Experience with network cost optimization in cloud environments
How to apply
All interested candidates are encouraged to apply through the application form. Only shortlisted candidates will be contacted for the next stages.
