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Dusan S. Cloud, DevOps and General Development

My name is Dusan S. and I have over 0 years of experience in the tech industry. I specialize in the following technologies: Kubernetes, CI/CD, DevOps, GitLab, AWS Lambda, etc.. I hold a degree in Bachelor's. Some of the notable projects I've worked on include: Enterprise GitOps Platform with ArgoCD, AI/ML Infrastructure on Kubernetes, Distributed Spark ETL & Batch Processing on Kubernetes, Migration from Legacy EC2 to Modern Multi-Cluster EKS, Kubernetes Autoscaling & Performance Optimization. I am based in Orlando, United States. I've successfully completed 5 projects while developing at Softaims.

Information integrity and application security are my highest priorities in development. I implement robust validation, encryption, and authorization mechanisms to protect sensitive data and ensure compliance. I am experienced in identifying and mitigating common security vulnerabilities in both new and existing applications.

My work methodology involves rigorous testing—at the unit, integration, and security levels—to guarantee the stability and trustworthiness of the solutions I build. At Softaims, this dedication to security forms the basis for client trust and platform reliability.

I consistently monitor and improve system performance, utilizing metrics to drive optimization efforts. I'm motivated by the challenge of creating ultra-reliable systems that safeguard client assets and user data.

Main technologies

  • Cloud, DevOps and General Development

    0 years

  • Kubernetes

    1 Year

  • CI/CD

    1 Year

  • DevOps

    1 Year

Additional skills

  • Kubernetes
  • CI/CD
  • DevOps
  • GitLab
  • AWS Lambda
  • AWS CloudFront
  • Python
  • GitHub
  • Amazon ECS
  • Amazon S3
  • Amazon EC2
  • Vault by HashiCorp
  • Terraform
  • Grafana
  • ELK Stack

Direct hire

Potentially possible

Previous Company

DSOps

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Experience Highlights

Enterprise GitOps Platform with ArgoCD

We designed and rolled out a standardized GitOps platform across multiple clusters and dozens of services. Before this, deployments were inconsistent, hard to audit, and prone to configuration drift.

AI/ML Infrastructure on Kubernetes

We designed and deployed a Kubernetes-native AI/ML platform for scalable model serving and inference. KServe and Knative enabled autoscaled inference services with scale-to-zero, reducing costs for bu

Distributed Spark ETL & Batch Processing on Kubernetes

We designed and operated a Kubernetes-native Spark platform for large-scale ETL and batch analytics. Spark jobs were submitted declaratively via the Spark Operator, running as isolated, ephemeral work

Migration from Legacy EC2 to Modern Multi-Cluster EKS

Led a large-scale migration from legacy EC2-based infrastructure to a modern, multi-cluster Amazon EKS platform. Rebuilt all environments using Terraform and Crossplane for fully reproducible dev, sta

Kubernetes Autoscaling & Performance Optimization

After migrating from EC2 to Kubernetes, we optimized performance and resource efficiency. We fixed over-provisioned workloads, poorly tuned autoscaling, and unstable scheduling under load. Autoscaling

Education

  • Bachelor's in Computer Science

Languages

  • English (Fluent)
  • Serbian (Native or Bilingual)