Site Reliability Engineering Manager, Capgemini
Duration: June 2024 - Present
Site Reliability Engineering Manager, Site Reliability Engineer - SRE Avengers Team
Duration: Apr. 2026 - Aug. 2026
Summary: Led the setup and management of the InDesign Server platform for McGraw Hill, focusing on infrastructure automation, security, and monitoring to support print content workflows and seasonal capacity planning.
Responsibilities:
- Led end-to-end lifecycle setup of the InDesign Server platform across non-production and production environments.
- Designed and implemented S3 bucket strategies for data pipelines supporting print content workflows.
- Deployed and configured Datadog agents for infrastructure monitoring and application log ingestion.
- Led seasonal capacity planning for critical ECS/EKS services, authoring data-driven readiness reports.
- Remediated AWS Shield Advanced security findings across multiple product portfolios.
- Planned and executed EKS cluster upgrades and AMI rotations.
- Investigated and resolved production incidents and led root-cause analysis.
- Supported cross-team infrastructure requests and reviewed monitoring dashboards.
- Authored internal AI-cost-optimization articles and contributed to Copilot onboarding initiatives.
Technologies: AWS (ECS, EKS, EC2, S3, CloudFront, RDS, Shield Advanced, IAM), Kubernetes, Terraform, Datadog, Windows Server (InDesign), IIS, Cloudflare, GCP, Node.js, GitHub.
Site Reliability Engineering Manager, NDA
Duration: June 2024 - Present
Summary: Driving high-velocity changes and feature launches in a multicloud hybrid environment, focusing on service stability, resilience, automation, and migration of legacy applications to AWS.
Responsibilities:
- Embedded in operations team to enable rapid changes without compromising service stability.
- Created resilience blueprints and patterns for engineering teams.
- Shifted operational dependencies left into automated CICD/DevSecOps pipelines.
- Established visibility into error budget consumption and service reliability impact.
- Enabled AIOPS-enriched self-healing automation and incident orchestration.
- Architected and executed migration of 58 legacy production apps from Rackspace Cloud to AWS.
- Leveraged data and analytics for strategic decision-making on releases and operations.
Technologies: AWS, AZURE, IBM, Docker, Kubernetes, ArgoCD, GitHub, OpenShift, RHEL, Dynatrace, EKS, AKS, Ansible, Terraform, Python, Shell Scripting, Artifactory, Jira, Confluence.
Sr. DevOps Engineer, Xoriant (Anaplan Platform)
Duration: Oct. 2023 - Jul. 2024
Summary: Enabled multicloud Kubernetes deployments and automated incident management to optimize cloud infrastructure and increase release speed for enterprise clients.
Responsibilities:
- Enabled multicloud Kubernetes deployments for production pipelines using Harness, Terraform, and F5 GTM.
- Automated 30 PagerDuty alerts using Python and Rundeck, reducing manual on-call overhead.
- Achieved 35% cloud cost reduction through best practices and rightsizing.
- Managed over 500 Kubernetes clusters with Terraform and Chef globally.
- Increased release speed by 25% by automating manual processes with Harness and Jenkins.
- Developed Grafana and Splunk dashboards with notification and alert policies.
Technologies: AWS, GCP, AZURE, VMware, Harness, Terraform, Ansible, Kubernetes, Docker, Grafana, Splunk, Rundeck, Icinga2, PagerDuty, F5, AWS CDK.
Sr. DevOps Engineer, Wizeline
Duration: May 2023 - Oct. 2023
Summary: Provided architecture design and validation for large-scale companies, focusing on high availability, disaster recovery, and migration consulting in multi-cloud environments.
Responsibilities:
- Designed and validated architecture for large-scale companies.
- Designed HA/DR solutions for multi-cloud environments.
- Implemented Azure DevOps pipelines for a newspaper media client.
- Defined code release strategies and SDLC best practices.
- Provided migration consulting for Oracle cloud clients.
Technologies: AWS, Azure, Azure DevOps, Terraform, Kubernetes, Docker, CICD.
Sr. DevOps Engineer, Mouritech (SoulCycle.com)
Duration: Dec. 2021 - Jul. 2024
Summary: Architected platform migration from monolithic to microservices architecture, improved deployment efficiency, and maintained PCI compliance for SaaS applications.
Responsibilities:
- Reduced deployment time from 4 hours to 30 minutes using GitHub Copilot.
- Architected migration of legacy monolithic apps to microservices.
- Developed enhanced Datadog dashboards with alert policies.
- Maintained PCI Compliance standards for audits.
- Upgraded EKS clusters and migrated CloudFormation stacks to Terraform Cloud.
- Implemented Transit Gateway between AWS and GCP, improving network performance by 45%.
Technologies: AWS, GCP, GitHub Actions, Copilot, Terraform, Ansible, Packer, AWS CDK, ArgoCD, Kubernetes, Docker, Datadog, PagerDuty, Slack, NodeJS, React.
Sr. DevOps Engineer, Globant (Disney Media & Entertainment Distribution)
Duration: Mar. 2021 - May 2023
Summary: Led DevOps efforts for media distribution, including migration to AWS CloudFront, modernization of legacy apps, and operational support for critical pipelines.
Responsibilities:
- Maintained and updated AWS core services aligned with Well-Architected Framework.
- Architected migration from on-prem and Limelight CDN to AWS CloudFront with Multi-Region HA.
- Executed migration of 58 legacy production apps from Rackspace Cloud to AWS.
- Developed New Relic dashboards with alert policies.
- Led DevOps Marvel team supporting Marvel and National Geographic pipelines.
- Dockerized 25+ legacy apps and created automated GitLab CI/CD pipelines.
Technologies: AWS, Rackspace, GitHub, GitLab, Atlassian, NodeJS, Terraform, Ansible, Packer, Kubernetes, Docker, TeamCity, NewRelic, Nagios, Limelight Edgio, Shell Scripting, PagerDuty.
Sr. DevOps Engineer, X-Team (AutoML Platform)
Duration: Jan. 2021 - Jan. 2022
Summary: Deployed AutoML Kubernetes pipelines for production, optimized AWS costs, and implemented zero-downtime deployments using canary releases.
Responsibilities:
- Deployed AutoML Kubernetes pipelines using Kubeflow and H2O.ai.
- Automated notifications and monitoring for ML instances and clusters.
- Achieved 50% cost reduction on AWS through optimization.
- Implemented Flagger canary releases with Argo CD for zero-downtime deployments.
- Implemented Infrastructure as Code using Ansible, Terraform Cloud, and Packer.
Technologies: AWS, GitHub, Terraform, Ansible, Packer, ArgoCD, Kubernetes, Docker, Kubeflow, H2O.ai, Datadog, Splunk, Looker, StrongDM, Sentry, Slack.
Sr. DevOps Engineer, Globant
Duration: Jan. 2021 - Jun. 2023
Summary: Led DevOps architecture and engineering efforts across multiple enterprise client engagements, defining standards and providing knowledge transfer.
Responsibilities:
- Led DevOps architecture and engineering efforts across multiple enterprise clients.
- Defined and enforced DevOps standards, CI/CD patterns, and operational readiness frameworks.
- Provided monthly knowledge transfer sessions to close technology gaps across distributed teams.
Sr. DevOps Engineer, DigitalOnUs
Duration: Jun. 2020 - Jan. 2021
Summary: Managed migration of physical servers to Azure, provisioned Azure Landing Zones, improved CICD pipelines, and led governance and cost-saving strategies for Azure projects.
Responsibilities:
- Migrated 500 physical servers from on-premise to Azure.
- Managed multiple products including fees development and change controls.
- Provisioned Azure Landing Zones using Terraform Cloud.
- Improved CICD pipelines with Azure DevOps, reducing deployment time by 70%.
- Led design of Foundations, Governance, Accounting, and Cost Saving strategies.
- Created and reviewed solutions and estimates for data center migration.
- Deployed disaster recovery site sync with multi-region strategy.
Technologies: Azure, Azure DevOps, Terraform Cloud, Sentinel Policies, Enterprise TFC Modules, Jira, Docker, Kubernetes, Azure Blueprints, Disaster Recovery, PowerShell, Azure PaaS, IaaS.
Sr. DevOps Tech Lead, SCREENIT
Duration: Jul. 2018 - Jun. 2020
Sr. DevOps Tech Lead, Lead Generation Platform
Duration: Nov. 2019 - Jun. 2020
Summary: Led migration and modernization of lead generation software, improving recruitment efficiency and implementing multi-cloud microservices architecture with zero-downtime deployments.
Responsibilities:
- Led migration of lead generation software, improving recruitment efficiency by 40%.
- Migrated 4 monolithic legacy systems to microservices architecture.
- Reduced deployment time by 50% through full CICD pipeline automation.
- Implemented zero-downtime releases using Canary deployment with Istio and Flagger.
- Designed and architected multi-cloud solution with GKE under Anthos implementation.
Technologies: AWS, GCP, AZURE, Confluence, Jira, Bitbucket, Docker, Kubernetes, Helm, FluxCD, Istio, Flagger, Angular, Django, PostgreSQL, Terraform, ELK, MuleSoft, Kafka, NodeJS.
Sr. DevOps Tech Lead, MMLaFleur Project
Duration: Jul. 2018 - Nov. 2020
Summary: Provided technical consulting and led development teams for multiple large-scale SaaS products, implementing Google Anthos with Istio for microservices and managing global multi-region Kubernetes operations.
Responsibilities:
- Provided tech consulting services for non-tech businesses, increasing client revenue by 5%.
- Led and managed a team of 5 developers across 3 large-scale products.
- Decided tech stack and managed cross-functional teams up to 7 people.
- Implemented Google Anthos with Istio as a service mesh for microservices architecture.
- Operated GKE Framework as a self-service operation on a Global Multi-Region strategy.
Technologies: AWS, GitHub, Chef, CloudFormation, Terraform, FluxCD, Jenkins, ECR, Helm, EKS, DataDog, PagerDuty, Slack, PHP, NodeJS, ReactJS, Python, Tableau, NewRelic, Istio, Flagger, GKE, Kafka.
Sr. DevOps Engineer, Palo IT
Duration: Jan. 2018 - Oct. 2019
Summary: Delivered testing projects with zero variance, automated processes to reduce cycle time, cut infrastructure costs, and implemented DevOps lifecycle and culture for financial sector clients.
Responsibilities:
- Delivered 3 testing projects meeting all requirements with zero schedule or cost variance.
- Reduced project cycle time by 50% through autonomous process automation.
- Reduced infrastructure costs by over 20% by revamping deployments and auto-scaling.
- Developed 200 Ansible playbooks for infrastructure management.
- Implemented DevOps lifecycle and culture with 3 financial sector clients.
Technologies: Confluence, Jira, Gitlab Enterprise, Docker, Jenkins, Maven, Nexus, Citrix, VMware, AWS, EKS, JavaSpring, NodeJS, JavaScript, Selenium, Python, ApiGee, JMeter, BlazeMeter, ELK, Grafana, Prometheus, SysDig, Ansible.
DevOps Engineer, Charkoon AI Assistants
Duration: May 2018 - Oct. 2018
Summary: Created automation solutions and monitoring systems to support platform stability and scalability for AI assistant services.
Responsibilities:
- Created automation solutions adopted by development and operations teams.
- Implemented monitoring systems with team alerting channels.
- Automated infrastructure creation with auto-scaling to support message volume growth.
- Improved CI/CD, databases, cloud services, container orchestration, and monitoring infrastructure.
- Responsible for platform stability, uptime, and internal automation tools development.
Technologies: GitHub, AWS, GCP, Rancher OS, Kubernetes, Docker, Drone.io, Consul, Terraform, BigQuery, Mongo Atlas, RDS, Sysdig, Tableau, DataDog, BlazeMeter.
IT Manager, Brooks Financial Services
Duration: Jan. 2010 - Mar. 2017
Summary: Managed IT infrastructure, developed enterprise applications, and implemented security standards to ensure data integrity and system availability.
Responsibilities:
- Ensured network, system, and data availability and integrity through maintenance and upgrades.
- Built applications supporting migration from client-server to enterprise architectures.
- Implemented company policies, technical procedures, and security standards.
- Developed complex Internet and Intranet applications across multiple platforms.
- Recommended network security standards and architectural improvements.
- Managed firewall, network monitoring, and server monitoring on- and off-site.
Technologies: C#, Bash, Unix, Windows Server, Maven, COBIT-ITIL, IT-Security, CITRIX, VMware, Docker, SOA, MuleSoft ESB, Oracle 11g, Oracle ExaData, Hyper-V, OpenShift, SpringCloud.
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