Sergei Zheliabovskii

DevOps Engineer with a background in backend development and over 5 years of experience in building secure, scalable, and resilient systems on AWS and Kubernetes. Combines classic DevOps practices (CI/CD, Infrastructure as Code) with deep expertise in Application Security (SAST, SCA, IaC Security) and ensuring corporate endpoint compliance through MDM.

Currently seeking a DevOps position in the Washington DC area or Remote.

Resume/CV

Zheliabovskii.info

Skills List

Backend Development

Python

Go

Django

FastAPI

Flask

Pydantic

RESTful APIs

AsyncIO

API Integration

Databases

PostgreSQL

Redis

SQL

NoSQL

Database Design

Performance Optimization

DevOps & Cloud

Docker

Kubernetes

AWS (EKS, EC2, S3, RDS)

GCP

Linux/Bash

Git

CI/CD Pipelines

GitHub Actions

Terraform

ArgoCD

Helm

Prometheus

Grafana

Secrets Management

Monitoring & Alerting

Infrastructure as Code

Deployment Automation

System Administration

DevSecOps

SAST

SCA

IaC Security

Aikido

Semgrep

DAST

Jamf

MDM

IAM

GuardDuty

CloudTrail

SCC

KMS

AWS WAF

Zheliabovskii.info

Python Flask APP

This application is designed to organize the process of booking charging stations in building communities. It includes features like displaying spots from the database, booking, session management, and automatic session termination.

Key Features:

Shows the top three spots that will be available the soonest to avoid conflicts.
Manages user sessions with encrypted tokens stored in cookies.
Follows the MVC architecture and avoids using ORMs or pre-built tools such as Flask sessions for a fully manual implementation.

This project was created to address personal needs with a focus on hands-on coding.

GitHub

Zheliabovskii.info

Django Postgres APP

This desktop application is built to support individuals experiencing PTSD during crisis moments. It provides a fast response and a clear, functional interface for immediate assistance.
Key Features:

Triggers an emergency scenario: notifies contacts, therapist, and trusted individuals.
Plays calming music to help stabilize the user.
Opens a chat with either a live operator or a GPT-based assistant.
Operators receive essential user info (address, contacts, etc.) for quick response.

The backend is built with Django, WebSocket, and Redis. The frontend is a PyQt5 desktop interface.
I personally deployed this project on AWS, configured the infrastructure, and implemented everything necessary to ensure stability and security under moderate load.

This is a personal project focused on solving a real-world problem with practical implementation. A portion of the code is available on GitHub, and the app is actively maintained.

GitHub

Zheliabovskii.info

Showreel: Undeads 2022-2023

From 2021 to 2023, I led a team of 15 Unreal Engine developers. My key responsibilities included:

Team management: coordinating tasks and ensuring effective collaboration.
Motion capture oversight: ensuring high-quality results for cinematics and VR projects.
Client communication: translating client needs into development goals.
Project planning: creating timelines and monitoring progress.
Problem solving: addressing technical and organizational challenges.

Undeads.com

Zheliabovskii.info

+1 818 813 4957
zheliabovskiiDEV@gmail.com