Systems Architect Cloud AIOps

We are seeking an experienced Systems Architect - Cloud AIOps to design and evolve next-generation cloud platforms where AI-driven intelligence is embedded as a foundational design this role you will shape AI-enabled platform engineering strategies lead AIOps architecture initiatives and serve as a senior technical authority guiding enterprise modernization programs across cloud infrastructure and cloud-native environments.

• Architect and evolve cloud platforms (AWS or Azure) where AI-driven intelligence is a foundational design principle not an afterthought
• Define and drive AI-enabled platform engineering strategy integrating observability telemetry pipelines intelligent alerting predictive insights and automation
• Lead the design of AIOps architectures that combine monitoring data logs metrics traces and operational knowledge to support proactive operations
• Embed SRE principles (SLIs SLOs error budgets) into platform design and enable AI-assisted reliability management
• Serve as a senior technical authority in customer-facing engagements architecture workshops and RFP/RFI responses articulating AI-driven platform value
• For Cloud Infrastructure-led engagements: architect AI-ready landing zones networking IAM hybrid connectivity DR and cost governance
• For Cloud Native-led engagements: architect Kubernetes platforms modernization initiatives and cloud-native runtime environments designed for intelligent operations
• Design and integrate AI-assisted operational knowledge systems including RAG-based architectures to accelerate root cause analysis and decision support
• Collaborate with data and ML teams to consume AI/ML capabilities for operations (anomaly detection automated RCA predictive capacity insights)
• Provide architectural guidance on LLM vector stores and RAG pipelines as platform components for operational and reliability use cases
• Mentor architects and senior engineers establishing AI-aware platform engineering standards across the organization

• 13-20 years of experience in cloud platform architecture and engineering
• For the Cloud Infrastructure path: expertise in enterprise landing zones VPC/VNet design and security & IAM along with hybrid/multi-cloud connectivity
• For the Cloud Native path: proficiency in Kubernetes platforms (EKS/AKS) microservices modernization and service mesh (Istio/Linkerd) including GitOps and container security
• Background in Infrastructure as Code using Terraform Ansible and CloudFormation or ARM/Bicep
• Skills in CI/CD and platform automation with Jenkins GitHub Actions and GitLab CI
• Competency in automation and integration scripting with Python Shell and PowerShell
• Familiarity with observability stacks such as Prometheus Grafana and ELK/EFK as well as OpenTelemetry Datadog AppDynamics and New Relic
• Strong SRE foundations covering SLIs/SLOs error budgets incident automation and postmortems
• Expertise in AIOps capabilities including event correlation across telemetry sources anomaly detection on metrics/logs/traces automated remediation with intelligent runbooks and predictive alerting and capacity insights
• Understanding of RAG architectures for operational knowledge retrieval and AI-assisted decisioning
• Proven experience leading platform-led modernization programs and influencing platform roadmaps at enterprise and portfolio levels
• Capability to assess legacy and cloud environments and define AI-enabled target platform architectures combining platform engineering AI capabilities and operational excellence
• Strong English communication skills (B2 level or higher)