Senior Systems Architect - Cloud AIOps

We are seeking an experienced and innovative Senior Systems Architect to lead the development of cloud platforms designed for intelligent operations. In this role, you will drive AI-enabled platform strategies and implement cutting-edge solutions that blend cloud infrastructure, AIOps, and operational excellence.

Responsibilities

• Architect and evolve cloud platforms (AWS or Azure) with AI-driven intelligence as a core feature
• Define and drive AI-enabled platform engineering strategy with observability, telemetry pipelines, intelligent alerting, predictive insights, and automation
• Lead the design of AIOps architectures, combining telemetry data, logs, metrics, and operational knowledge for proactive operations
• Embed SRE principles (SLIs, SLOs, error budgets) into designs for AI-assisted reliability management
• Serve as a senior technical authority during customer engagements, workshops, and RFP/RFI responses, articulating the value of AI-driven platforms
• Architect AI-ready landing zones, hybrid connectivity, IAM, networking, disaster recovery, and cost governance
• Design Kubernetes platforms and cloud-native environments (EKS/AKS) tailored for intelligent operations
• Design AI-assisted operational knowledge systems, such as RAG-based architectures, for root cause analysis and decision-making
• Collaborate with data science and ML teams to integrate AI capabilities for anomaly detection, root cause analysis, and predictive insights
• Provide guidance on LLM, vector stores, and RAG pipelines as components for operational and reliability use cases
• Mentor architects and senior engineers to establish AI-aware platform engineering standards across the organization
• Drive AI-assisted platform-led modernization programs, ensuring alignment with enterprise and portfolio roadmaps

Requirements

• Experience of 18+ years in IT architecture and engineering with a focus on cloud and AI-driven solutions
• Background in cloud infrastructure: Enterprise landing zones, VPC/VNet design, security and IAM, hybrid or multi-cloud connectivity
• Expertise in Kubernetes platforms (EKS/AKS), microservices modernization, and service mesh technologies like Istio or Linkerd
• Skills in Infrastructure as Code tools including Terraform, Ansible, and CloudFormation/ARM/Bicep
• Proficiency in CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI
• Competency in scripting for automation and integration using Python, Shell, or PowerShell
• Expertise in observability stacks like Prometheus, Grafana, Elastic Stack (ELK/EFK), Datadog, and New Relic
• Strong foundations in SRE principles including SLIs, SLOs, error budgets, and incident automation
• Knowledge of AIOps capabilities including event correlation, anomaly detection, automated remediation, and predictive alerting
• Clear understanding of RAG architectures for operational knowledge and AI-assisted decision-making
• Proven experience leading platform-led modernization programs for legacy and cloud environments
• Showcase of influencing platform roadmaps at enterprise and portfolio levels
• English language proficiency at an Upper-Intermediate level (B2) or higher