Senior Systems Architect - Cloud AIOps

Office in India: Hyderabad

Systems Architecture

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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