Resume from May 18, 2024 File

Олександр

Software, Infrastructure Engineer (DevOps, Python, AWS)

Age:
29 years
City of residence:
Odesa
Ready to work:
Kyiv, Lviv, Odesa, Remote

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Oleksandr Nikolaiev
Python Software/DevOps Engineer
Contact information:
[open contact info](look above in the "contact info" section)
[open contact info](look above in the "contact info" section)
[open contact info](look above in the "contact info" section)
• Skype: alexandernikolaev94
Summary:
• 8+ years of professional experience in the Information Technology industry;
• Long experience of using and managing Linux distributions both on physical Pcs/servers and VMs
• Solid experience of usage and management of cloud services and products provided by Amazon AWS
• Proficient in developing and maintaining Infrastructure-as-Code (AWS CloudFormation, Terraform, Ansible)
• Familiar with CI/CD tools and processes configuration, management, support and troubleshooting (Octopus Deploy, TeamCity, GitLab pipelines)
• Experienced in front-end and back-end development (JavaScript, TypeScript, Query, AJAX, front-end frameworks and third-party sources, HTML5, CSS3, Python, Node.js);
• Experience with microservices and REST principles;
• Experience with unit and end-to-end testing;
• A firm grasp of object-oriented and functional programming design concepts and patterns.

Work Experience:
Play’n’GO Malta, Inc.
Infrastructure EngineerJan 2023 – Dec 2023
Play’n’GO Malta, Inc.
Software/DevOps EngineerNov 2021 – Jan 2023
Play’n’GO Sweden AB
Software/DevOps EngineerFeb 2021 – Nov 2021
DataArt Solutions, Inc., (www.dataart.com)
Software/DevOps EngineerOct 2019 – Jan 2021
ProBegin B.V.
Software (Python) DeveloperSep 2018 – Oct 2019
DataArt Solutions, Inc. (www.dataart.com)
Software DeveloperSep 2016 – Aug 2018

Recently Completed Projects:
AWS Control Tower and accounts management
Client:International team
Description:Primary responsibility consisted of supervising and managing the company’s product cloud infrastructure and intorducing fixes and/or improvements based on the end user requests. The infrastructure consisted of a multitude of accounts belonging to one AWS Control Tower managed by IaC (Infrastructure-as-Code), mostly using Amazon CloudFormation. Other parts consisted of CI/CD Tools (Octopus Deploy, TeamCity) and several custom automation solutions written in Python [rogramming language and platform-specific shell scripting languages (Powershell/bash)
Languages:Python 3, bash, Powershell, YAML/JSON
Environments: AWS, Amazon CloudFormation, Terraform, Octopus Deploy, TeamCity
Position: Infrastructure Engineer
Activities:
• Developing and maintaining leaderboard components, creating new markup
• Adding new features to the API services
• Communication with the team, coming up with new ideas for promotion tools
Leaderboard for slot games system
Client:International team
Description:The goal of the project was to maintain and develop the leaderboard plugin for various slot games used by e-casinos. The leaderboard (set up as a promotion campaign) can be created in a common casino management system with different conditions for it to appear (active date, announcement dates, type of leaderboard, prizes etc.). The project consisted of 2 .NET Core API applications and a frontend for leaderboard built using React and TypeScript.
Languages:C#, Typescript, SCSS
Environments: .NET Core, Orleans, React, Visual Studio, Bitbucket, Grafana, Kibana, Octopus Deploy
Position: Front-end developer
Activities:
• Developing and maintaining leaderboard components, creating new markup
• Adding new features to the API services
• Communication with the team, coming up with new ideas for promotion tools

Unity-based application for 3D-visualisation of jaw bones
Client:International team
Description:The goal of the project was to maintain and develop the application used by dentists and dentist surgical robot operators that allows to control the robot via visualisation of the jaw bones of the patient. The project consisted of Unity 3D application and C# ASP.NET Core APIs.
Languages:C#, NSIS, bash
Environments: Unity 3D, .NET Core, GitLab, Google Cloud Platform, Debian GNU/Linux, macOS
Position: DevOps engineer
Activities:
• Configuring the GCP Compute Engine virtual machines as build servers;
• Configuring semantic versioning for the build artifacts;
• Managing build artifacts storage;
• Creating scripts for automated generations of custom installation packages for Windows and macOS;
• Communications with the client;
• Managing tasks, risks and time estimation.

Insurance Quoting Platform
Client:US-based insurance company
Description:The goal of the project was to maintain and develop additional features for a web-platform designed for insurance agents to collect data about the property, calculate risks, create and manage quotes and policies. Wildlife in national reserves and parks located in South Africa. The project consisted of web.py application with server-rendered pages and Knockout.js front-end, which performed AJAX requests to server-side part and to third-party APIs to get the calculations. The registered agents could create and manage the policies they created, the users with elevated rights (administrators) could create and manage all the policies, quotes and partner companies.
Languages:JavaScript, Python
Environments:Web.py, MySQL, Knockout.js, jQuery, PyCharm, Amazon Workstations
Position:Software Developer
Activities:
• Front-end and back-end web development;
• Designing the interaction of applications and API;
• Custom components library enhancements;
• Uncovering and highlighting deficiencies and making recommendations for improvement;
• Communications with the client;
• Managing tasks, risks and time estimation.

Production & In-stock Goods Dashboard
Client:Curtain manufacturing company
Description:The project was developed for automating the processes on the curtain manufacturing factory. It consisted of separate applications sharing one database. The primary application was a web-based application to manage the current stock of ready production and orders written in Django. The other applications were a client application for RaspberryPi workstations, which were used to operate various factory machines written in Python + Tkinter and an application for handheld barcode scanners running Android written in Ionic framework.
Languages:JavaScript, TypeScript, Python
Environments:Django, Ionic, jQuery, Tkinter, MS SQL, Docker, Bash, Cypress, PyCharm
Position:Software Developer
Activities:
• Front-end development, back-end development, GUI development and support;
• Implementing integration & e2e (end-to-end) tests;
• Database optimization and support;
• Investigating and fixing issues;
• Implementing new features/enhancements;
• Implementing JavaScript validation on both ends - in the CMS and for the end-user-facing forms;
• Communication with the team members on the client-side (business analyst, project manager, developers).
OS Performance Measurement Dashboard
Client:US-based service provider
Description:The aim of the project was to develop a dashboard which aggregates the data from the client machines in the network and displays the charts with overall CPU and hard-drive performance and acts as a plugin for a third-party system administration dashboard.
Languages:JavaScript, Ruby
Environments:RubyMine, Vue, Ruby on Rails, ChartJS
Position:Software Developer
Activities:
• Creating the front-end application from scratch for the dashboard;
• Helping the back-end developer in developing the RoR API;
• Troubleshooting and addressing server issues.

Certifications:
Amazon AWS:
• AWS Certified Cloud Practitioner (CLF-C02), expires in November 2025
• AWS Certified Developer — Associate (DVA-C02), expires in July 2026

Skills:
Programming and Markup Languages:
• JavaScript
• ES6
• ES7
• TypeScript
• Python
• CSS
• HTML

Technologies and Frameworks:
Angular, AngularJS, Backbone.js, Bootstrap, Django, Flask, Google Maps, Ionic, jQuery, localStorage, OAuth, React, Redux, Ruby on Rails, Tkinter, Vue, web.py

Databases: MongoDB, MySQL, PostgreSQL

Testing Environments: Karma + Jasmine, Chai + Mocha, Cypress

Development Environments: VS Code, WebStorm, Mac OS, Linux, Ubuntu, VMWare, Virtualbox, Postman, Docker, docker-compose
Continuous Integration and Repository Management: TeamCity, Octopus Deploy GitHub, Bitbucket, GitLab
Bug Tracking Systems: Jira
Source Version Control: Git (including graphical tools), SVN

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