Mohammed Hameeduddin Sohail

Senior DevOps Engineer with 10+ years of experience in Cloud Platforms (AWS, Azure, GCP), Site Reliability Engineering (SRE), Infrastructure Automation, and CI/CD Optimization across healthcare, finance, IT services, and software development industries. Acted as a Subject Matter Expert (SME) in cloud infrastructure, automation, and DevOps tooling, driving best practices across platform engineering and development teams. Mentored junior engineers through hands-on workshops, code reviews, and knowledge-sharing sessions, accelerating team proficiency in DevOps, IaC, and cloud-native technologies. Collaborated in Agile/Scrum teams, participating in sprint planning, backlog grooming, daily standups, and retrospectives to align infrastructure work with product delivery goals. Designed and deployed multi-cloud Kubernetes clusters (EKS, AKS, GKE), enabling scalable, highly available microservices infrastructure for enterprise applications. Automated provisioning and configuration using Terraform, CloudFormation, Pulumi, and Ansible, improving deployment consistency and reducing manual effort by over 60%. Developed and managed CI/CD pipelines using GitHub Actions, GitLab CI/CD, Jenkins, ArgoCD, and Tekton, integrating security scans with Snyk, Checkmarx, and SonarQube. Integrated GitOps practices with Flux, ArgoCD, and Spinnaker, enabling declarative infrastructure and automated environment rollbacks. Engineered self-healing infrastructure and implemented Chaos Engineering using Gremlin and Litmus Chaos to improve system fault tolerance and auto-remediation. Led DevSecOps initiatives including Zero Trust Security, Compliance-as-Code, and enforcement of SOC 2, HIPAA, PCI DSS, and SOX standards using Vault, WAF, Azure Defender, and GCP Security Center. Automated infrastructure lifecycle and patching using Ansible, Chef, SaltStack, Rundeck, and Puppet across cloud and hybrid environments. Implemented centralized observability with Dynatrace, Prometheus, Grafana, OpenTelemetry, Datadog, ELK Stack, and Splunk, enabling intelligent alerting and predictive incident detection. Reduced cloud expenditures by 30%+ through FinOps strategies, leveraging AWS Cost Explorer, Azure Cost Management, and GCP Billing API. Enhanced incident management and alerting workflows using PagerDuty, OpsGenie, ServiceNow, and automated runbooks, improving MTTR by 40%. Automated infrastructure APIs and DevOps workflows using Python, Golang, PowerShell, and integrated with AWS Lambda, Azure Functions, and GCP Cloud Run. Designed and secured API Gateway architectures using Kong, Istio, AWS API Gateway, and Azure APIM, enforcing traffic control, rate limiting, and OAuth-based security. Modernized legacy monolithic applications through Docker, Podman, and Kubernetes-based containerization, reducing deployment time by 60%. Enabled FHIR-compliant data exchange and healthcare interoperability solutions in line with HIPAA regulations, supporting secure EHR integration and patient data flow. Led hybrid and multi-cloud transformation using Anthos, OpenShift, and VMware Tanzu, ensuring application portability and cloud orchestration. Defined and monitored SLIs, SLOs, and SLAs, embedding SRE best practices to ensure availability, performance, and service reliability objectives. Built and optimized cloud-native data platforms using Amazon Aurora, Azure SQL, MongoDB, Snowflake, Kafka, and real-time streaming for scalable analytics. Integrated Big Data and AI/ML platforms using AWS Glue, Azure Synapse, GCP BigQuery, and Databricks, enabling anomaly detection and predictive analytics.