Andrii is available for hire
Hire AndriiAndrii Soldatenko
Verified Expert in Engineering
Python Developer
Vienna, Austria
Toptal member since March 19, 2014
Bio
Andrii is a blogger, speaker, and expert back-end developer with Python/C and Go. He has extensive knowledge of Docker and Kubernetes. He also is interested in databases, and one can find his talks about full-text search and SQL optimization based on PostgreSQL at many Python conferences. Andrii has created a social network based on Elasticsearch for smart matching between similar user interests.
Portfolio
Dynatrace
Go, Python 3
Galileo Technologies, Inc.
Python, Flask, SQLAlchemy, FastAPI, PostgreSQL, Distributed Systems
Sentry
Rust, Python 3, Algorithms, GitHub, APIs, REST APIs, Django, ClickHouse, Go...
Experience
- Python - 14 years
- SQL - 12 years
- Go - 10 years
- Bash - 7 years
- Kubernetes - 6 years
- Elasticsearch - 3 years
- Docker - 3 years
- Apache Airflow - 2 years
Preferred Environment
Tmux, Kubernetes, Vim Text Editor, Git, Bash, Linux, Docker, Neoim Text Editor
The most amazing...
...project I've done involved contribution to diverse open source projects using various technologies.
Work Experience
Senior Go Developer
2023 - 2026
Dynatrace
- Designed, tested, and developed new features of Dynatrace Kubernetes Operator: Github.com/dynatrace/dynatrace-operator/.
- Improved code coverage, designed a new architecture, and improved performance.
- Ensured the operator supports most Kubernetes/OpenShift versions.
Technologies: Go, Python 3
Python Expert
2025 - 2025
Galileo Technologies, Inc.
- Developed Python/JavaScript client: Github.com/rungalileo/galileo-python and Github.com/rungalileo/galileo-js.
- Worked on implementing new API endpoints. Improve code coverage and code quality, and mentor other team members.
- Designed and architected SDKs, maintain documentation and examples.
Technologies: Python, Flask, SQLAlchemy, FastAPI, PostgreSQL, Distributed Systems
Senior Software Engineer
2022 - 2023
Sentry
- Worked on different dynamic sampling features using Python and Rust. (https://docs.sentry.io/product/performance/performance-at-scale/).
- Improved code coverage and code quality of the package. (https://github.com/getsentry/sentry/tree/master/src/sentry/dynamic_sampling).
- Launched dynamic sampling globally for all 50 thousand organizations across the globe.
Technologies: Rust, Python 3, Algorithms, GitHub, APIs, REST APIs, Django, ClickHouse, Go, Distributed Systems, React
Senior Software Engineer
2019 - 2022
Astronomer
- Wrote open-source server-side code modern orchestration platform powered by Apache Airflow™ using Go, Python, and Node.js. (https://github.com/astronomer/).
- Designed and implemented different Go microservices.
- Maintained all libraries up-to-date, checking security scanners, applying patches, and sometimes contributing back to upstreams.
- Designed and implemented an Apache Airflow Kubernetes airflow operator.
Technologies: Go, Python 3, Node.js, TypeScript, GraphQL, Kubernetes, Helm, Docker, Open Source, Mocha, Jest, Prisma, Distributed Systems, React
Data Engineer
2018 - 2022
Whip Networks, Inc.
- Designed, implemented, and supported the entire ETL system using Python and Apache Airflow.
- Rewrote all PHP microservices in Go using AWS Lambda and AWS infrastructure.
- Supported data scientists and developed a recommendation system. Rewrote its production gears.
Technologies: Python, Data Science, ETL, Spark, Apache Kafka, Kubernetes, Amazon S3 (AWS S3), Amazon Web Services (AWS), Apache Airflow, Machine Learning, Go, Distributed Systems
Senior Python/Django Developer
2018 - 2018
Boutique Air (via Toptal)
- Designed and implemented a REST API.
- Implemented algorithms to calculate aircraft parameters.
Technologies: Python, Algorithms, Docker, REST APIs, PostgreSQL, Django
Freelance Developer
2017 - 2018
Shoplookio (via Toptal)
- Implemented similar outfits/products based on NLTK and Elasticsearch.
- Improved performance of the website to work with 400k+ users.
- Improved code quality and added automatic deployment.
- Implemented a data pipeline to extract, process, and load data from third parties.
- Added caching and SQL tuning for better performance.
Technologies: Python, PostgreSQL, Heroku, Elasticsearch, Django
Go Developer
2017 - 2017
Loodse
- Implemented OpenAPI (Swagger) documentation for Kubermatic public API.
- Designed and implemented new features for Kubermatic (Kubernetes based container engine).
- Contributed OpenAPI specifications.
- Fixed bugs and upgraded Go and Kubernetes versions for Kubermatic.
- Designed and implemented new architecture.
Technologies: OpenAPI, Swagger, Kubernetes, Go
CTO
2016 - 2017
Moonshot Capital, Ltd.
- Designed and implemented architecture from scratch.
Freelance Senior Django Developer
2016 - 2017
ConsumerAffairs.com (via Toptal)
- Optimized SQL queries and reduced page speed load (by 2x).
- Implemented new features based on product requirements.
- Supported code quality with PEP 8.
- Created unit tests and supported current code coverage near 97% of Python code.
- Contributed to the Optimizely Python client https://github.com/optimizely/optimizely-client-python.
Technologies: Python, GitHub, Vagrant, MySQL, Varnish, Docker, NGINX, Django
CTO
2016 - 2017
Persollo
- Handled all back-end/front-end and scientific (R&D) technological issues.
Technologies: Python, Stripe API, Celery, Redis, PostgreSQL, AngularJS, JavaScript, RESTful Development, REST APIs, Django
Freelance Python Developer
2016 - 2016
Exrpt (via Toptal)
- Designed and implemented a CMS with unique user flow.
- Scraped articles from different resources.
- Designed and implemented a database based on PostgreSQL and SQLAlchemy with difficult hierarchy queries and relationships.
- Designed and implemented an admin interface using Flask-admin.
Technologies: Python, PostgreSQL, Docker, SQLAlchemy, Flask
Software Engineer
2015 - 2016
DataRobot
- Dockerized all services of the DataRobot back-end.
- Reduced payments for AWS using Slackbot to shut down unnecessary servers.
- Contributed to github.com/prometheus.
- Improved developers' experiences.
- Implemented complicated Jenkins pipelines using Jenkins Job Builder (docs.openstack.org/infra/jenkins-job-builder).
Technologies: Amazon Web Services (AWS), Python, Prometheus, Go, Elasticsearch, Docker
Freelance Back-end Developer
2014 - 2016
Persice (via Toptal)
- Developed a web application based on Python and Django.
- Implemented data mining using social accounts and Celery.
- Integrated social login using Facebook/Twitter.
- Built a chat system based on Web Sockets, Socket.IO, Node.js, and Redis Pub/Sub.
- Created full text search using PosgreSQL and Elasticsearch.
- Implemented geolocation using PostGIS, GeoIP, and browser geolocation API.
- Developed and implemented a REST API using Tastypie.
- Set up and maintained an environment for production using VPS, Gunicorn, and Nginx.
- Implement social graph using Neo4j and friendship.
Technologies: Python, Natural Language Toolkit (NLTK), PostgreSQL, Redis, NGINX, Vagrant, JavaScript, REST, Django, Elasticsearch
Freelance Lead Back-end Developer
2015 - 2015
SkyGrid (via Toptal)
- Updated and implemented the current back-end.
- Implemented performance improvements.
- Migrated the RestAPI from XML to JSON.
- Prepared social logins.
- Handled data mining from social networks.
Technologies: Python, Facebook API, X (formerly Twitter) API, MySQL, SQL
Freelance Python Developer
2014 - 2015
HealthLabs (via Toptal)
- Prototyped out a new digital health service in Python and Google Compute Engine/Google App Engine.
- Set up sFTP on a VM on Google Compute Engine.
- Set up authentication and account management.
Technologies: Google Cloud Datastore, Google Cloud Storage, Google App Engine
Lead QA Automation Engineer
2014 - 2015
Wargaming.net
- Created unit and integration tests for an XMPP server based on Erlang and Python.
- Designed and implemented an XMPP client based on SleekXMPP.
Technologies: Python, Tornado, WebSockets, XMPP, C++, Erlang
Python Developer
2014 - 2014
Digicode
- Created new features and fixed bugs in the issue tracker.
- Created RestAPI services.
- Set up the MySQL database.
- Created a Django admin for models.
Technologies: Python, GeoIP, Memcached, South, Virtualenv, PIP, MySQL, Django
Automation Test Lead
2012 - 2014
Luxoft
- Designed, developed, and implemented a test framework based on DSL and PageObject concepts.
- Developed and implemented automated tests based on Ruby, Selenium, and Cucumber.
- Created a test framework for Canvas (HTML) using JavaScript and extending Selenium.
- Developed a shell script for testing RESTful services and data migration checks.
- Optimized test execution time and generated big data sets.
- Handled code review using Crucible.
Technologies: Python, Bash, Rake, Selenium WebDriver, Cucumber, RSpec, JavaScript, PL/SQL, Oracle SQL, Ruby
Test Automation Engineer
2011 - 2012
Viewdle
- Developed, maintained, and executed automated test suites using Python and C++.
Technologies: Python, Bash, SQL, C++
Experience
Todo List Application
https://github.com/andriisoldatenko/todolistA simple todo list application that I created.
Using Kubermatic Container Engine with Kubernetes
https://www.meetup.com/Kubernetes-Kyiv/events/242890029/?eventId=242890029Speech given at Kubernetes Kyiv meetup #2.
High-performance Functional Tests Based on Selenium for Django Projects
Speech given at PyCon Belarus 2015.
Talk on High-performance Functional Test Based on Selenium
http://seleniumcamp.com/speakers/Given at Selenium Camp 2015.
Dive into Full-text Search with Python
Speech given at PyCon Russia 2015.
http://www.slideshare.net/ssuserb92f8d/pycon-russian-2015-dive-into-full-text-search-with-python
http://www.slideshare.net/ssuserb92f8d/pycon-russian-2015-dive-into-full-text-search-with-python
Talk on Quality Gates in Continuous Integration
http://seleniumcamp.com/talk/practical-continuous-quality-gates-for-development-process/Talk given at Selenium Camp 2016.
There are a lot of books and publications about continuous integration. But in my experience, it’s difficult to find information about how to open quality gates between automated tests and to continuous integration practice to in your current project. After reading several articles and even a couple of books, you will understand how to work with it. But what next? I will share with you practical tips and tricks on how to lift the curtain to your automated tests before a continuous quality practice today. It is for this reason that I am pleased to share with you my acquired experience in my presentation.
There are a lot of books and publications about continuous integration. But in my experience, it’s difficult to find information about how to open quality gates between automated tests and to continuous integration practice to in your current project. After reading several articles and even a couple of books, you will understand how to work with it. But what next? I will share with you practical tips and tricks on how to lift the curtain to your automated tests before a continuous quality practice today. It is for this reason that I am pleased to share with you my acquired experience in my presentation.
Automated Functional Tests Based on Selenium for Django Projects
Speech given at PyCon Ukraine 2014.
The Best Full-text Search Engine for Python (PyCon Ukraine)
Speech given at PyCon Ukraine 2016.
Nowadays, we can see lots of benchmarks and performance tests of different web frameworks and Python tools. Regarding search engines, it’s difficult to find useful information, especially benchmarks or comparing between different search engines. It’s difficult to manage what search engine you should select--for instance, ElasticSearch, Postgres full-text search, or maybe Sphinx or Whoosh. You face a difficult choice, that’s why I am pleased to share with you my acquired experience and benchmarks and focus on how to compare full text search engines for Python
Nowadays, we can see lots of benchmarks and performance tests of different web frameworks and Python tools. Regarding search engines, it’s difficult to find useful information, especially benchmarks or comparing between different search engines. It’s difficult to manage what search engine you should select--for instance, ElasticSearch, Postgres full-text search, or maybe Sphinx or Whoosh. You face a difficult choice, that’s why I am pleased to share with you my acquired experience and benchmarks and focus on how to compare full text search engines for Python
Simple Django Back-end to Send Email through SendGrid
https://github.com/elbuo8/sendgrid-djangoSimple Django back-end to send email using SendGrid's Web API.
Python Serverless Microframework for AWS
https://github.com/awslabs/chaliceThe Python serverless microframework for AWS allows you to quickly create and deploy applications that use Amazon API Gateway and AWS Lambda. It provides:
- A command line tool for creating, deploying, and managing your app.
- A familiar and easy-to-use API for declaring views in Python code.
- Automatic IAM policy generation.
- A command line tool for creating, deploying, and managing your app.
- A familiar and easy-to-use API for declaring views in Python code.
- Automatic IAM policy generation.
The Best Full-text Search Engine for Python (EuroPython)
Speech given at EuroPython 2016.
Nowadays, we can see lots of benchmarks and performance tests of different web frameworks and Python tools. Regarding search engines, it’s difficult to find useful information, especially benchmarks or comparing between different search engines. It’s difficult to manage what search engine you should select--for instance, ElasticSearch, Postgres full text search, or maybe Sphinx or Whoosh. You face a difficult choice. That’s why I am pleased to share with you my acquired experience and benchmarks and focus on how to compare full text search engines for Python.
Nowadays, we can see lots of benchmarks and performance tests of different web frameworks and Python tools. Regarding search engines, it’s difficult to find useful information, especially benchmarks or comparing between different search engines. It’s difficult to manage what search engine you should select--for instance, ElasticSearch, Postgres full text search, or maybe Sphinx or Whoosh. You face a difficult choice. That’s why I am pleased to share with you my acquired experience and benchmarks and focus on how to compare full text search engines for Python.
Moonshot Capital
Moonshot Capital helps mobile app developers and eCommerce traders round the world grow faster by accelerating their payouts from Apple, Google, Ad Networks, Amazon. I was the CTO for this project.
Open-source Contributions
http://github.com/andriisoldatenko/Contributed to a couple open-source libraries in Python and Go.
Education
2010 - 2012
Master's (Red Diploma) Degree in Information Security
National Technical University of Ukraine “Kyiv Polytechnic Institute” - Kyiv
2006 - 2010
Bachelor's (Red Diploma) Degree in Information Security
Donetsk National Technical University of Ukraine - Donetsk, Ukraine
Certifications
AUGUST 2026 - AUGUST 2028
CKAD: Certified Kubernetes Application Developer
The Linux Foundation
FEBRUARY 2025 - FEBRUARY 2027
Certified Kubernetes Administrator
The Linux Foundation
DECEMBER 2020 - PRESENT
Graph Search, Shortest Paths, and Data Structures
Coursera
NOVEMBER 2020 - PRESENT
Divide and Conquer, Sorting and Searching, and Randomized Algorithms
Coursera
NOVEMBER 2020 - PRESENT
Programming with Google Go
Coursera
Skills
Libraries/APIs
Stripe API, Facebook Open Graph API, Bottle.py, Django ORM, Tastypie, LinkedIn API, X (formerly Twitter) API, South, Selenium WebDriver, GeoIP, Facebook API, Natural Language Toolkit (NLTK), SQLAlchemy, OpenAPI, REST APIs, Stripe Connect, Node.js, Asyncio, Vue, React
Tools
Ansible, Amazon Elastic MapReduce (EMR), Spark SQL, Google Kubernetes Engine (GKE), Apache Airflow, Looker, RSpec, Cucumber, Rake, Virtualenv, Emacs, Git, Vagrant, NGINX, Celery, Varnish, GitHub, Vim Text Editor, Tmux, Jekyll, Neoim Text Editor, Helm, Mocha, Prisma, Kubernetes Operators, Azure Kubernetes Service (AKS)
Languages
Python, Go, Bash, SQL, Scala, Snowflake, Rust, Ruby, JavaScript, HTML, CSS, C++, Erlang, Python 3, TypeScript, GraphQL
Platforms
Ethereum, Kubernetes, Docker, Blockchain, Ubuntu, Oracle, CentOS, Red Hat Linux, AWS Lambda, Google App Engine, Heroku, Amazon Web Services (AWS), Unix, Linux, Solaris, Apache Kafka
Storage
OrientDB, Neo4j, Elasticsearch, PostgreSQL, NoSQL, Redis, MySQL, MongoDB, Databases, PL/SQL, Google Cloud Storage, Google Cloud Datastore, Oracle PL/SQL, Memcached, Oracle SQL, Amazon S3 (AWS S3), ClickHouse
Frameworks
Django, Django REST Framework, Flask, Spark, AngularJS, Swagger, Jest
Paradigms
ETL, RESTful Development, Asynchronous Programming, Continuous Integration (CI), Test-driven Development (TDD), Object-oriented Programming (OOP), Design Patterns, Object-oriented Design (OOD), Extreme Programming, Unit Testing, REST
Other
Algorithms, Ethereum Smart Contracts, Full-stack, Data Engineering, Architecture, Smart Contracts, ICO, Prometheus, Aiohttp, Mathematics, Natural Language Processing (NLP), Generative Pre-trained Transformers (GPT), Bots, Full-stack Development, Distributed Systems, PIP, XMPP, WebSockets, Tornado, Concurrency, Graphs, Stripe Payments, Back-end Development, Data Structures, TextSearch, Data Science, Machine Learning, APIs, Open Source, FastAPI, Networks, Kubernetes Security, Rancher Kubernetes Engine (RKE), Self-managed Kubernetes
Collaboration That Works
How to Work with Toptal
Toptal matches you directly with global industry experts from our network in hours—not weeks or months.
1
Share your needs
Discuss your requirements and refine your scope in a call with a Toptal domain expert.
2
Choose your talent
Get a short list of expertly matched talent within 24 hours to review, interview, and choose from.
3
Start your risk-free talent trial
Work with your chosen talent on a trial basis for up to two weeks. Pay only if you decide to hire them.
Top talent is in high demand.
Start hiring