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
