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Anil babu User

@anilbabuuser

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Senior DevOps engineer driving secure, compliant cloud automation, CI/CD, and scalable containerized platforms.

Canada

Message

What I'm looking for

I seek roles building secure, compliant cloud platforms with strong automation, GitOps-driven CI/CD, and opportunities to improve reliability and scale across regulated domains.

I am a Senior DevOps engineer with about 6+ years of experience automating cloud infrastructure, CI/CD pipelines, and containerized deployments across healthcare, fintech, and e-commerce. I design secure, compliant, and highly available systems using AWS, Azure, Terraform, Pulumi, Kubernetes, and GitOps practices to reduce deployment cycles and improve reliability.

I have delivered enterprise-grade observability, event-driven streaming, and ML model deployment pipelines while embedding automated security and compliance (HIPAA, PCI-DSS, SOC2). I collaborate with cross-functional Agile teams to align DevOps solutions with business objectives and drive continuous improvement, cost optimization, and resilience.

Experience

Work history, roles, and key accomplishments

Current

Senior DevOps Engineer

Current

Great-West Lifeco

Feb 2024 - Present (2 years 1 month)

Designed and implemented AWS Terraform/CloudFormation infrastructure and GitOps pipelines to deliver HIPAA-compliant EHR and claims systems, reducing deployment errors and improving recovery through cross-region DR and automated backups.

RDS S3 Terraform Pulumi Docker Jenkins Prometheus Grafana Kafka

DevOps Engineer

Mastercard

Dec 2022 - Feb 2024 (1 year 2 months)

Architected Azure infrastructure and Azure DevOps pipelines for PCI-DSS/SOX-regulated payment services, implemented containerized AKS deployments and security scanning which reduced pipeline runtime and improved compliance traceability.

Azure Bicep Terraform Pulumi Docker Helm Azure DevOps SonarQube Datadog

DevOps Engineer

Wipro

Jul 2019 - Dec 2022 (3 years 5 months)

Built CI/CD pipelines and containerized legacy retail platforms, enabling scalable Kubernetes/OpenShift deployments, blue-green releases, and centralized observability to improve availability during peak events.