• Design and implement end-to-end observability solutions across applications, infrastructure, and cloud environments. • Develop dashboards, alerts, and telemetry frameworks to provide real-time visibility into system health and performance. • Build automation solutions to eliminate repetitive operational tasks and improve efficiency. • Enable runbook automation, self-healing capabilities, and automated incident triage workflows. • Define and implement SLIs, SLOs, and alerting strategies to improve service reliability. • Drive improvements in MTTD and MTTR through actionable alerts and telemetry-driven insights. • Implement proactive monitoring, anomaly detection, and predictive alerting to identify issues before customer impact. • Leverage AIOps capabilities for alert correlation and intelligent incident response. • Integrate observability platforms with CI/CD pipelines, cloud services, and ITSM tools such as ServiceNow. • Collaborate with engineering, product, and operations teams to establish observability standards and operational readiness practices.

• Design, deploy, and manage enterprise-grade infrastructure on Azure platform with multi-region and high-availability architecture • Build and maintain Kubernetes clusters, including deployment, scaling, monitoring, and troubleshooting of containerized applications • Create and manage containerized workloads from image build through production deployment • Develop and implement CI/CD pipelines using Azure DevOps to automate software delivery and deployment processes • Create Infrastructure-as-Code (IaC) solutions using Terraform/OpenTofu, ARM templates, or Bicep for reproducible infrastructure • Lead vulnerability assessments and implement remediation strategies across cloud infrastructure and container environments • Establish and enforce security policies, compliance standards, and best practices for cloud operations • Implement security scanning and container registry scanning tools to identify and manage vulnerabilities in images and dependencies • Develop automation scripts and tools to reduce manual operational tasks and improve system reliability • Monitor infrastructure performance, optimize resource utilization, and implement cost management strategies and collaborate with development teams, security teams, and stakeholders to understand requirements and implement solutions

• Provision and configure a dedicated VPC and segmented cloud environment on AWS • Build the baseline CI/CD pipeline and maintain and evolve it across all delivery phases • Configure and manage the vector store infrastructure (OpenSearch/Pinecone on AWS) • Set up and manage the observability stack: CloudWatch, X-Ray, alerting thresholds, and LLM-specific monitoring • Implement infrastructure-as-code for all environments (dev, staging, production) using Terraform or CDK • Manage secrets, KMS encryption key configuration, and tenant-scoped access controls • Configure LLM provider connectivity (OpenAI / Anthropic / Amazon Bedrock enterprise tier, zero-data-retention) • Define and implement environment promotion strategy aligned with the 2-week sprint cadence • Support incremental ingestion pipeline infrastructure requirements and nightly scheduling

• Develop reusable reference architectures and patterns for compute and storage • Design patterns for resilient data and service backends • Own the Azure landing zone and subscription governance patterns • Define and own the GitOps and continuous delivery strategy • Serve as the authoritative Terraform practitioner • Own the Azure DevOps multi-stage YAML pipeline standards • Build and maintain platform automation tooling in PowerShell and Azure CLI • Own the patterns and platform for container and application hosting • Develop platform observability patterns and tooling • Implement platform security guardrails • Contribute to cost management • Own quality and discoverability of the platform documentation ecosystem