Marcus Sanchez
@marcussanchez
DevOps and Platform engineering leader building reliable, scalable multi-cloud Kubernetes platforms with SRE-grade observability.
What I'm looking for
I’m a DevOps/Platform engineering leader with 10 years of experience building and scaling large-scale distributed cloud platforms across AWS, GCP, and Azure in enterprise environments. I specialize in Kubernetes, Terraform, and GitOps (ArgoCD), with a strong SRE focus on reliability engineering, observability, incident response, and production resilience.
At Workday, I led platform engineering across AWS (EKS, Lambda, RDS) and GCP (GKE) to deliver multi-region, highly available Kubernetes environments. I improved production stability by 25–35% by optimizing CI/CD and release strategies using GitOps, defined and enforced SLIs/SLOs to raise alert quality and decision-making, and increased deployment velocity by 2–3x with ArgoCD and GitHub Actions.
I strengthen systems end-to-end: observability with Prometheus, Grafana, Datadog, OpenTelemetry, and CloudWatch; security and compliance with IAM/RBAC, KMS encryption, and secrets management aligned with SOC2/ISO27001/HIPAA; and infrastructure automation using Terraform, CloudFormation, Pulumi (TypeScript), and Crossplane. My work also includes standardizing blue/green and canary deployments and building reusable infrastructure modules that cut environment setup time by 40%.
Experience
Work history, roles, and key accomplishments
Led platform engineering across AWS (EKS, Lambda, RDS) and GCP (GKE), enabling multi-region, highly available Kubernetes environments. Improved production stability by 25–35% by optimizing CI/CD and release strategies with GitOps (ArgoCD, GitHub Actions) and increased deployment velocity 2–3x.
Automated infrastructure provisioning using Terraform and CloudFormation, reducing manual provisioning effort by 50–70%. Managed production Kubernetes clusters (EKS, GKE), migrated CI/CD pipelines to GitOps with ArgoCD, and built centralized observability with Prometheus, Grafana, Datadog, ELK, CloudWatch, and OpenTelemetry.
Built and maintained CI/CD pipelines using Jenkins, GitLab CI/CD, and Terraform for AWS-based microservices. Managed AWS infrastructure (EC2, S3, IAM, VPC, ECS, ALB, CloudWatch) and improved deployment reliability through standardized pipeline automation and release practices.
DevOps Engineer
IBM Aspera
Jun 2018 - Aug 2019 (1 year 2 months)
Improved CI/CD pipelines for distributed systems, reducing deployment cycle time and increasing release efficiency by automating release workflows and eliminating manual deployment steps. Implemented Kubernetes network policies for secure pod-to-pod communication and improved reliability through better alerting, logging, and performance tuning.
Developed backend services with Java and C# in Docker containers orchestrated by Kubernetes (EKS), enabling distributed enterprise systems and reducing service downtime. Designed REST APIs with Spring Boot and .NET Core and built CI/CD pipelines using Jenkins, Helm, and Kubernetes, cutting deployment time by half.
Education
Degrees, certifications, and relevant coursework
Eastern Washington University
Bachelor of Science, Computer Science
2012 - 2015
B.S. in Computer Science from Eastern Washington University (2012–2015).
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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