Amazon Web Services
Networking, identity, container registry, managed Kubernetes and infrastructure automation.
Senior Cloud DevOps Engineer with 9+ years across software engineering and cloud engineering, including nearly 6 years operating production cloud infrastructure. I lead a five-engineer DevOps team supporting 12 AWS accounts across two regions and multiple EKS environments, with measurable outcomes including approximately 70% less manual provisioning, incident investigation reduced from several hours to under 45 minutes, roughly 20% lower AWS spend, near-zero-downtime database migrations, and protection of 99.9% availability targets.
Promotion, rollback and drift remain reviewable through versioned GitOps changes rather than manual cluster state.
Internal Developer Platform → WORKLOAD SAFETY Guardrails before scaleNon-root workloads, probes, quotas, NetworkPolicy, autoscaling and environment separation are designed into the runtime.
Kubernetes Platform → RECOVERABILITY RTO/RPO drive topologyRecovery architecture begins with business objectives, explicit failover ownership, rollback criteria and evidence.
Multi-Region DR → PLATFORM BOUNDARY Governance is part of deliveryIdentity, network, secrets, observability and cost controls are versioned with the landing-zone foundation.
Azure Landing Zone →Cloud infrastructure provisioning and Infrastructure as Code.
Open project 02 / CONTAINERS Docker Container EngineeringSecure service images, immutable releases and registry-backed delivery.
Open project 03 / PLATFORM Kubernetes PlatformContainer orchestration and Kubernetes platform operations.
Open project 04 / DELIVERY CI/CD & GitOpsContinuous integration and GitOps delivery.
Open project 05 / AUTOMATION Linux AutomationLinux configuration and infrastructure automation.
Open project 06 / OPERATIONS Monitoring & ObservabilityMetrics, dashboards, alerting and centralized logging.
Open project 07 / AZURE Azure Landing ZoneLive-validated AKS landing-zone engineering.
Open project 08 / PLATFORM Internal Developer PlatformProduction-oriented platform engineering with GitOps, policy-as-code, SLOs and FinOps.
Open project 09 / RECOVERY Multi-Region DR PlatformRecovery engineering with RTO/RPO evidence.
Open project 10 / SERVERLESS Event-Driven Serverless PlatformAsync event workflow with audit and retry design.
Open projectI work across cloud infrastructure, automation, containers, CI, GitOps and observability to build systems that are repeatable, scalable and easier to operate.
Cloud infrastructure • Platform automation • Container orchestration • GitOps delivery
Cloud engineering across AWS, Microsoft Azure and Google Cloud Platform, with the portfolio's deployed implementation evidence centered on AWS.
Networking, identity, container registry, managed Kubernetes and infrastructure automation.
Cloud administration, virtual infrastructure, networking, identity and monitoring.
Familiarity with Compute Engine, VPC, and Cloud Monitoring fundamentals.
Application changes move from source control through continuous integration, container publishing and GitOps-based Kubernetes delivery.
Build, test, and publish application artifacts or container images.
Reconcile the desired deployment state stored in Git with Kubernetes.
Run and orchestrate containerized application workloads.
Metrics collection, dashboards and operational visibility for infrastructure and containerized workloads.
Metrics collection and time-series monitoring.
Metrics LayerDashboards, visualization and operational insight.
Visualization LayerSelected implementation evidence from ten hands-on Cloud DevOps Engineer projects.
Production-oriented internal developer platform with Helm golden paths, GitOps promotion, Kubernetes guardrails, Kyverno policy, SLOs, FinOps controls and operating runbooks.
I built and validated a multi-service application platform on Amazon EKS with ingress routing, health probes, autoscaling, security controls and environment separation.
Governed Azure foundation with Terraform, AKS, workload identity, Key Vault, observability, CI validation and teardown evidence.
Active/passive recovery design driven by RTO/RPO, explicit failover ownership, rollback criteria and reviewable recovery evidence.
I built a CI and GitOps delivery workflow using Jenkins, Docker, Amazon ECR, Argo CD and Kubernetes with immutable releases, environment promotion and verified deployment state.
I implemented metrics and centralized logging with Prometheus, Grafana, Alertmanager, Loki and Alloy, with GitOps-managed dashboards, persistent storage and verified multi-environment log ingestion.
I provisioned and validated AWS platform infrastructure with Terraform, including the EKS foundation, container registries, identity integrations and repeatable infrastructure workflows.
Serverless workflow architecture for queued processing, retry policy, failure isolation, audit traceability and cost-aware execution.
I automated multi-node Linux configuration with Ansible using reusable roles, SSH administration, service validation and verified idempotency.
I engineered four service-specific container images with non-root runtimes, slim base images, immutable release tags, Amazon ECR publishing and Kubernetes-ready delivery.
9+ years across software engineering and cloud engineering, including nearly 6 years operating production cloud infrastructure.
Lead a five-engineer DevOps team owning production across 12 AWS accounts, two regions and multiple EKS environments. Cut manual provisioning by approximately 70% and reduced new-environment setup from 2-3 days to under 4 hours, moved teams to weekly and on-demand CI/CD and GitOps delivery, reduced incident investigation from several hours to under 45 minutes, protect 99.9% availability targets, lowered AWS spend by approximately 20%, and led Aurora PostgreSQL migrations with AWS DMS and near-zero customer-facing downtime.
Designed resilient multi-AZ AWS and Azure network architecture, standardized production and non-production provisioning with reusable Terraform and CloudFormation modules, led cloud migrations with validated rollback paths, and reduced AWS and Azure infrastructure costs by approximately 18% through right-sizing and ongoing capacity and utilization reviews.
Built backend services and REST APIs with Java, Spring Boot, Python and SQL, strengthened PostgreSQL and MySQL data-access patterns, introduced automated JUnit and PyTest coverage that reduced defects reaching production by approximately 35%, led root-cause investigations with QA, and pioneered early Docker-based deployment workflows that bridged software engineering and DevOps.
AWS and Microsoft Azure credentials supporting cloud architecture, DevOps engineering and platform operations, with validity dates shown where applicable.
Advanced AWS delivery automation, monitoring, security, governance and operational reliability.
Azure compute, networking, identity, storage and cloud infrastructure administration.
Foundational knowledge of Azure services, cloud concepts, security, governance and pricing.
Explore the portfolio through commands instead of traditional navigation.
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Open to Cloud, DevOps, Platform Engineering and Infrastructure Automation opportunities.