DevOps Architect

We are seeking an experienced DevOps Architect to help design, build, and scale a next-generation AI-driven Network Assurance Platform. This platform leverages advanced analytics, machine learning, automation, and cloud-native technologies to improve network visibility, performance, and operational efficiency across large-scale carrier and enterprise environments. As a key technical leader, you will define cloud architecture, DevOps strategy, automation frameworks, and CI/CD best practices while driving reliability, scalability, and security across the platform. Key Responsibilities • Architect and implement cloud-native infrastructure for a large-scale AI-powered platform. • Design and manage Kubernetes-based environments with a strong focus on Google Kubernetes Engine (GKE). • Build and optimise CI/CD pipelines to accelerate software delivery and platform innovation. • Develop Infrastructure as Code (IaC) solutions using tools such as Terraform. • Establish DevSecOps practices, platform observability, monitoring, and automated remediation. • Partner with AI/ML, Software, Data Engineering, and Network Engineering teams to deploy and operate intelligent network assurance solutions. • Drive cloud governance, security, scalability, and reliability across production environments. • Mentor engineering teams on cloud-native architectures and DevOps best practices. Required Skills & Experience ✅ Strong experience as a DevOps Architect, Cloud Architect, or Senior Platform Engineer ✅ Deep expertise with: • Google Cloud Platform (GCP) • Google Kubernetes Engine (GKE) • Kubernetes ecosystem and container orchestration • CI/CD platforms (GitLab CI, Jenkins, GitHub Actions, etc.) • Infrastructure as Code (Terraform preferred) • Docker and cloud-native application deployments ✅ Experience with: • Cloud security and DevSecOps practices • Monitoring and observability tools (Prometheus, Grafana, ELK, Datadog, etc.) • Microservices and distributed systems architectures • Scripting and automation (Python, Bash, Go, etc.) Preferred Qualifications ⭐ Experience with AI/ML platforms, MLOps, or AI-driven operational systems ⭐ Exposure to Network Assurance, Telecom, Broadband, Service Provider, or Enterprise Networking environments ⭐ Multi-Cloud experience (AWS, Azure, and GCP) strongly preferred ⭐ Experience supporting highly available, mission-critical platforms at scale .Why Join? • Build cutting-edge AI solutions transforming network operations. • Work on large-scale cloud-native platforms with modern DevOps practices. • Influence architecture decisions and technology direction. • Collaborate with highly skilled AI, Data, Cloud, and Networking experts. • Contribute to the future of autonomous and intelligent network operations. Ready to architect the future of AI-powered network assurance? Apply today and help redefine how modern networks are built, monitored, and optimised.