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Mikhail S. Cloud, DevOps and Automation Platforms

My name is Mikhail S. and I have over 10 years of experience in the tech industry. I specialize in the following technologies: DevOps, Amazon Web Services, Docker, CI/CD, Kubernetes, etc.. I hold a degree in Master of Engineering (MEng), . Some of the notable projects I've worked on include: Video Hosting Discovery Phase, Audio Processing with Vast.ai, Automating Akeneo PIM in Azure with CI/CD & Backups, Video Streaming Platform, Jedari Kubernetes Migration Journey: A Success Story, etc.. I am based in Les Echelles, France. I've successfully completed 10 projects while developing at Softaims.

My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.

I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims' clients by reducing infrastructure costs and improving user satisfaction.

I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.

Main technologies

  • Cloud, DevOps and Automation Platforms

    10 years

  • DevOps

    7 Years

  • Amazon Web Services

    3 Years

  • Docker

    1 Year

Additional skills

  • DevOps
  • Amazon Web Services
  • Docker
  • CI/CD
  • Kubernetes
  • Linux
  • Python
  • Deployment Automation
  • Terraform
  • Linux System Administration
  • Google Cloud Platform
  • Amazon EC2
  • Git
  • NGINX
  • CI/CD Platform

Direct hire

Potentially possible

Previous Company

Upwork

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Experience Highlights

Video Hosting Discovery Phase

Challenge: The client’s video hosting MVP was difficult to scale or improve due to code issues. Solution: We began with a discovery phase to clarify all requirements, choose the most suitable techno

Audio Processing with Vast.ai

Challenge: Automate the end-to-end call-center audio flow—from recording to transcription and JSON summary—to cut manual work, speed analysis, and improve service. Solution: Calls are recorded; the ev

Automating Akeneo PIM in Azure with CI/CD & Backups

Challenge: Needed a scalable and automated infrastructure for Akeneo PIM, combining Azure and Hetzner, with full GitLab CI/CD and backup integration. Solution: Implemented Terraform-managed Kubernete

Video Streaming Platform

A Leading Streaming Service Delivery Platform, Built From the Ground Up

Jedari Kubernetes Migration Journey: A Success Story

Project started a quick review of video streaming subsystem but quickly switch to migration of the apps from classic servers to Kubernetes.

Education

  • Don State Technical University

    Master of Engineering (MEng) in

    2003-01-01-2008-01-01

  • Don State Technical University

    in

    2001-01-01-2003-01-01

Languages

  • English (Fluent)✓
  • French (Basic)
  • Russian (Native or Bilingual)
  • Serbian (Basic)