05/26/2026 updated
MR
100 % available
Senior Site Reliability Engineer & Observability Specialist
Hyderabad, India
Worldwide
About me
Senior Site Reliability Engineer with 8 years of experience in architecting robust observability solutions and automating infrastructure for enterprise-scale systems. Proven expert in driving reliability through SLO adoption and reducing incident resolution time with custom AI tools.
ObservabilitySREReliability Centered MaintenanceReliability EngineeringDatadogReliability Availability Maintainability and Safety SoftwareAdverse Event MonitoringSplunkNew Relic
Observability & Monitoring
Expertise in architecting end-to-end observability solutions using Dynatrace MaaS & SaaS, Grafana, Kibana, ELK Stack, RUM, and AEM. Implementation of Observability as Code via Terraform for GCP and Dynatrace, standardizing monitoring deployment across product teams.
Kubernetes & DevOps
Proficiency in Kubernetes, OpenShift, Rancher, Docker, Argo CD, Tekton, Jenkins, GitHub Actions, Helm, Cilium, Hubble, and Akamai CDN for container orchestration and CI/CD pipeline management.
Infrastructure as Code & Automation
Strong skills in Terraform, Ansible, Ansible Tower, Akamai API, and ServiceNow API for automating infrastructure provisioning, configuration management, and operational workflows.
Cloud & Infrastructure
Hands-on experience with GCP, Azure, Akamai Edge, and Linux distributions including Debian, CentOS, and RHEL for managing enterprise-scale cloud infrastructure.
Programming & Scripting
Practical knowledge of Python, Bash, and Shell scripting for automation, tooling, and operational tasks.
AI & LLMs
Experience with Microsoft Copilot Studio and Gemini for building AI assistants, including integration with LLMs to reduce Mean Time To Resolution for critical incidents.
SLOs & Error Budget Management
Spearheaded the adoption of SLOs and Error Budget policies across products, establishing a data-driven framework to improve system reliability while maintaining feature velocity.
Adobe AEM & Content Management
Expert knowledge in Adobe AEM 6.5/6.4, CQ 5.6, Dispatcher, AEM Workflow, Forms, Campaigns, DAM, and web content management including multi-site manager and blueprinting.
Tools & Collaboration Platforms
Proficiency with JIRA, ServiceNow, Git, GitHub, and GitLab for project tracking, version control, and collaborative software development.
Expertise in architecting end-to-end observability solutions using Dynatrace MaaS & SaaS, Grafana, Kibana, ELK Stack, RUM, and AEM. Implementation of Observability as Code via Terraform for GCP and Dynatrace, standardizing monitoring deployment across product teams.
Kubernetes & DevOps
Proficiency in Kubernetes, OpenShift, Rancher, Docker, Argo CD, Tekton, Jenkins, GitHub Actions, Helm, Cilium, Hubble, and Akamai CDN for container orchestration and CI/CD pipeline management.
Infrastructure as Code & Automation
Strong skills in Terraform, Ansible, Ansible Tower, Akamai API, and ServiceNow API for automating infrastructure provisioning, configuration management, and operational workflows.
Cloud & Infrastructure
Hands-on experience with GCP, Azure, Akamai Edge, and Linux distributions including Debian, CentOS, and RHEL for managing enterprise-scale cloud infrastructure.
Programming & Scripting
Practical knowledge of Python, Bash, and Shell scripting for automation, tooling, and operational tasks.
AI & LLMs
Experience with Microsoft Copilot Studio and Gemini for building AI assistants, including integration with LLMs to reduce Mean Time To Resolution for critical incidents.
SLOs & Error Budget Management
Spearheaded the adoption of SLOs and Error Budget policies across products, establishing a data-driven framework to improve system reliability while maintaining feature velocity.
Adobe AEM & Content Management
Expert knowledge in Adobe AEM 6.5/6.4, CQ 5.6, Dispatcher, AEM Workflow, Forms, Campaigns, DAM, and web content management including multi-site manager and blueprinting.
Tools & Collaboration Platforms
Proficiency with JIRA, ServiceNow, Git, GitHub, and GitLab for project tracking, version control, and collaborative software development.
Project history
Implemented end-to-end observability solutions using Dynatrace for frontend monitoring and GCP for backend services. Implemented Observability as Code via Terraform for GCP and Dynatrace. Owned full reliability lifecycle for 4 Vehicle Commerce products as Product SRE. Engineered a novel AI assistant integrating ServiceNow APIs, Akamai Fast Purge API, GCP logs, and Ford's native LLM, reducing MTTR for critical incidents by 30%. Spearheaded SLO and Error Budget adoption across all products.
Engineered a novel AI assistant to streamline daily tasks of Site Reliability Engineers. Developed integrations with Akamai Fast Purge and ServiceNow APIs to automate key SRE processes. Leveraged GCP Logs for AI-driven log analysis during incident triage. Utilized Ford's native LLM as the core engine for natural language processing and task execution. Tools: GCP, Copilot Studio, Akamai API, Service Now API, Google Gemini Flash.
End-to-end automation for managing Application Load Balancing and Edge Redirect Cloudlets. Developed custom Ansible module to work with Akamai API. Integrated the setup in Ansible Tower for improved usability. Utilized Ansible Vault to securely store API keys. Tools: Ansible, Ansible Tower, Akamai API.