Jobs Python

Job Description

Must have experience:

3+ years of professional backend development experience

Strong Python skills, including:

Object-Oriented Programming / Design
Asynchronous programming (async/await, background tasks, workers)
Experience with backend frameworks such as Django (DRF), FastAPI, or Flask

Solid understanding of backend architecture concepts:

REST APIs
Microservices
Event-driven and distributed systems
Working knowledge of:

Linux
Networking basics
Docker
Experience with tools such as Git, Jira, Jenkins

Strong analytical thinking and engineering mindset
Team-oriented approach and good communication skills
Upper-intermediate English or higher

Highly preferable experience:

Experience with relational databases (PostgreSQL, MariaDB)
Automated testing experience (Pytest or similar)
Basic frontend understanding (HTML / JS, modern frameworks)

Nice to have experience:

Cloud platforms (AWS / GCP / Azure)
Kubernetes
Go

Job Responsibilities

Design and develop scalable backend services in Python
Build and maintain REST APIs for data ingestion and exposure
Participate in architecture design (microservices, async workflows, event-driven patterns)
Integrate data from heterogeneous sources (new and legacy systems)
Work closely with frontend developers to support modern UX requirements
Ensure code quality through testing, reviews, and best engineering practices
Improve performance, reliability, and scalability of existing services
Collaborate with cross-functional teams in an Agile/Scrum environment

Department/Project Description

We are expanding the team to work on a new strategic product focused on unifying and integrating data from multiple test stations.

The project aims to:

Aggregate data from next-generation test stations, as well as legacy systems (FAST / LabView–based)
Integrate additional data sources in the future
Provide a modern backend foundation for data processing and exposure
Support a modern UX/UI layer built on top of this backend
This system will become a core data platform for manufacturing and testing of Harmonic hardware products.

Harmonic is a leading provider of innovative broadband solutions that deliver video, voice and data to communications providers around the world. GL team participates in development and QA of several generation of these solutions.

The CableOS department is about developing the new software-based network equipment which provides access to Internet/IPTV/VoIP services with using powerful servers.

It is an innovative solution for Internet Service Providers which will allow to get rid of the existing HW equipment and to migrate to the cloud, saving customers the enormous expenses for the support of huge number of hardware network equipment. Currently there are no competitors to this project in the world and Customer offers the opportunity to be at the beginning of the rapid development of the product and the opportunity to take their place in a fast-paced engineering team

We’re expanding our team and looking for a Django/DRF Developer to join Dataforest. If you’re looking for a friendly team, a healthy working environment, and a flexible schedule — you’ve found the right place to send your CV.

You'll be a great fit if you have:

- 3+ years of experience with Django and it's components;

- Experience with RESTful APIs, DRF and related libraries;

- Experience with Celery and async task management;

- Experience with SQL and query optimisation;

- Experience of writing tests;

- Able to work independently and excellent in communicating challenges and issues;
 

Would be a plus:

- Experience with AWS services (EC2, API Gateways, Lambda, SQS);

- Experience with NoSQL databases (Redis, Elasticsearch, etc.);

- Experience of end-to-end implementation for new functionality;

- Experience with payment systems integrations (Stripe, Shopify, Recurly, Paypal, Braintree, etc.);

- Experience with chargeback management tools (Ethoca, RDR, CDRN, etc.);

- Understanding how to handle high load on projects;
 

What you'll do:

- Design, develop and maintain payment gateway and other integrations;

- Design and develop new features and maintain existing functionality.

- Design and develop web applications using Python/Django/Celery.

- Design, develop and maintain RESTful APIs using Django Rest Framework (DRF).

- Write clean and well-structured code that is easy to read and maintain;

- Write and maintain technical documentation.

- Write and maintain unit tests to ensure code quality.

- Optimize and maintain the security, performance, and usability of the applications.

- Collaborate with the PM/Frontend/DevOps/QA and others team members.

We ensure your growth with:

- Great networking opportunities with international clients, challenging tasks;

- Building interesting projects from scratch using new technologies;

- Personal and professional development opportunities;

- Competitive salary fixed in USD;

- Paid vacation and sick leaves;

- Flexible work schedule;

- Friendly working environment with minimal hierarchy;

- Comfortable, spacious and well-equipped office in the city center;

- Team building activities, corporate events.

Why this role exists:

The role exists to own the mathematical models that price sportsbook markets and manage the book's risk exposure. The Senior Quantitative Analyst sits at the intersection of statistical modelling, sports domain expertise, and commercial trading judgement to build and calibrate pre-match and in-play pricing models, set margin and liability frameworks, and turn betting and market data into a measurable pricing edge. At the senior/lead level, the scope includes setting the modelling direction for assigned sports verticals, defining model quality metrics, acting as a technical authority, and mentoring mid-level and junior quants.

What you’ll drive:

Model development and market pricing

• Own the design, development, and calibration of pre-match and in-play pricing models, BetBuilder models, and Cashout for assigned sports verticals (e.g. football, tennis, basketball, esports).
• Derive full market trees from core model outputs — match odds, handicaps, totals, correlated derivatives, player props, and same-game multiples — with internally consistent probabilities.
• Model live scenarios where state changes matter: in-play score, time decay, red cards, momentum, injury and substitution effects, service games, possession-based simulation.

Risk management and market analysis

• Extract fair probabilities from competitor and exchange prices (margin removal / de-vigging) and blend market-implied signals with in-house model output.
• Define and maintain liability limits, exposure thresholds, and automated risk-mitigation rules across markets and events.
• Run Monte Carlo simulation of book outcomes to quantify tail risk on major events and accumulator/multiples exposure.
• Support the trading floor during high-liability events with real-time analysis and price recommendations.

Strategy, productionisation, and leadership

• Set the quantitative roadmap for assigned verticals in partnership with Trading and Product leadership.
• Partner with Engineering to productionise models into low-latency pricing services, and define monitoring and alerting requirements.

What makes you a GR8 fit:

Must-have

• 5+ years of quantitative analysis experience, including 3+ years in sports betting, betting exchange, or sports trading/analytics.
• Expert-level probabilistic and statistical modelling skills.
• Expert Python skills for modelling and production code.
• Strong experience in sports-specific model design, including ratings, simulations, and in-play models.
• Experience with both pre-match and in-play pricing.
• Advanced knowledge of bookmaking economics, margin strategy, risk, liability, and exposure management.
• Advanced SQL and experience handling large-scale datasets.
• Experience developing, validating, and deploying models into production with measurable commercial impact.
• Machine learning knowledge and understanding of low-latency/streaming systems.
• English proficiency at B2+ level.

At Immense Group, we are guided by our core values of passion, boldness, and integrity. We strive to create an environment where our people thrive, driven by a love for innovation and a commitment to delivering exceptional player experiences. If you’re passionate about iGaming and tech development bold in your approach, and act with integrity, we’d love for you to join our team as a RPA & Python Engineer. 
 

A taste of what you’ll do 
We're looking for an experienced RPA Engineer to join our automation team. In this role, you'll design, 
build, and maintain automation solutions using UiPath and Python, working closely with stakeholders 
across Casino, AML, Finance, and Tech. You'll help remove manual bottlenecks, improve operational 
efficiency, and support the wider adoption of automation across the business. 

• Working closely with departments such as Casino, AML, Finance, and Tech to understand automation needs
• Designing, building, and deploying RPA and Python-based automation solutions that reduce manual effort and operational risk
• Maintaining clear technical documentation and handover materials for every solution delivered
• Adapting quickly to shifting priorities across multiple concurrent projects
• Owning end-to-end delivery of RPA solutions, from design through to production deployment
• Presenting technical solutions to non-technical stakeholders in plain, accessible language
• Monitoring and troubleshooting live RPA bots to ensure stable, ongoing operation
• Keeping up to date with developments in automation and AI tooling, and applying them where useful
• Any other task or responsibility that may be related and/or connected to the role of RPA Engineer

Who and what we are after? 
 

• At least 3 years' hands-on experience building RPA solutions with UiPath
• Proven ability to design automation pipelines connecting multiple systems — extracting, processing, and integrating data with existing codebases (Python, Java, PHP)
• Experience deploying and supporting UiPath solutions in a live production environment
• Strong working knowledge of APIs
• Solid QA testing background, automated or manual
• At least 2 years' experience with Python automation, including APIs and Selenium
• Comfortable analysing data with Python (e.g. pandas) — desirable but not essential
• Practical experience using AI APIs (e.g. OpenAI, Claude, Gemini)
• Ability to maintain and update RPA scripts on an ongoing basis
• Experience integrating RPA workflows with Python via APIs
• Working knowledge of C#, Java, or PHP for troubleshooting and bug fixes — nice to have
• Strong problem-solving skills with close attention to detail
• Comfortable working in agile environments, managing multiple concurrent projects
• Strong communication and stakeholder management skills

Nice to have

• UiPath certification
• Bachelor's degree in Computer Science or a related field

Remuneration:

up to 3050 eur gross per month

Benefits: 

— 25 days paid vacation days 

— paid public holidays in the country of residence 

— Additional marriage leave 

— Additional paternity leave 

— 5 days of paid sick leave 

— 1 volunteer day 

— Professional development support 

— Department team building activities 

— HR support 

About project:
Our Customer is one of the biggest companies on the market of home entertainment consumer electronics devices that strives to provide their clients with high-quality products and services.

Project goals include automation testing of the video and audio content and other services available via digital media players using a custom test automation framework.

Responsibilities:

• Working with the solid automation test framework and infrastructure.
• Developing new and updating existing automation scripts.
• Code review.
• Debugging issues and creating bug reports.
• Documentation creation.
• Communication with international teams (US, UK).

• Manual work: about 20%.

  
  Requirements:

• Strong hands-on experience in Python development.
• Experience developing, maintaining, and extending automated test frameworks and test suites.
• Good knowledge of QA methodologies, test design techniques, and software testing lifecycle.
• Understanding of test automation design patterns, including Page Object Model (POM).
• Experience with Scrum/Agile;
• Good communication and problem-solving skills;
• Excellent written and verbal English communication skills, developed interpersonal skills;
• Highly motivated, energetic, and able to easily switch between assignments. 
   

Про продукт

Продуктова команда будує автономний рушій, який керує фермою реальних Android-пристроїв і публікує контент у соцмережах від імені брендів та фаундерів — без участі людини в рутині. Зараз у проді Instagram, наступні на черзі YouTube і TikTok.

Це не набір скриптів і не чернетка MVP. Це працююча інженерна система на перетині мобільної автоматизації, anti-detect-інфраструктури та growth-механік: власний рушій дій (аналіз екрана → ADB-команди), ферма пристроїв на ADB / uiautomator2, керування проксі та робота зі стійкістю акаунтів.

Про роль

Шукаємо інженера, який стане власником усього mobile / device-шару і поведе його далі. Висока автономія й пряма відповідальність за головну метрику — скільки акаунтів виживає в проді. Це роль власника напрямку, а не виконавця тікетів.

Чим будеш займатися

• Тримати живою чинну ферму — сценарії логіну, постингу й прогріву на реальних Android-пристроях (ADB / uiautomator2), стабільність системи та виживаність акаунтів, робота з 2FA (TOTP / IMAP)
• Рефакторити device-шар — надійність executor'а, self-heal селекторів, зменшення платформенної залежності, завершення міграції даних на PostgreSQL
• Мігрувати на DC-hosted пристрої — ADB-over-TCP, хмарні телефони, роутинг пристроїв, гео-узгодження (timezone / locale / DNS / GPS), керування проксі
• Запускати нові платформи — плани дій і селектори під YouTube і TikTok, парсери статистики, anti-detect під специфіку кожної платформи (для TikTok окремо — device attestation / Play Integrity)
• Розвивати внутрішній рушій дій — сервіс, що аналізує XML-дамп екрана й генерує ADB-команди через курсорну стейт-машину; усі нові платформи будуються поверх нього
• Працювати з anti-detect: device fingerprint, proxy / VPN on-device, DNS, ротація IP
• Дивитися на ban-метрики й розуміти, чому акаунти виживають або банять (sourcing × поведінка × інфра), а не просто «фіксити краші»
• Використовувати AI-assisted розробку (Claude Code) для швидкої генерації сценаріїв, селекторів і тестів

Стек

• Core: Python (async/await), FastAPI, Pydantic, SQLAlchemy, Alembic, PostgreSQL
• Mobile automation: ADB, uiautomator2, Android internals, хмарні телефони (ADB-over-TCP), власний рушій «екран → ADB-команди»
• Anti-detect: device fingerprinting, SOCKS5 / residential / mobile проксі, on-device VPN (NekoBox / SagerNet), DNS, Play Integrity
• Оркестрація: наразі multiprocessing, у планах — durable-черга (Celery / Temporal)
• Media / stats: ffmpeg, exiftool, GraphQL / private-API парсери статистики
• Infra: Docker, GitLab CI (self-hosted), Grafana, Tailscale

Обовʼязково

• Практичний досвід anti-detect / мультиакаунтингу на будь-якій платформі — Instagram, TikTok, FB ad-акаунти, ігрові боти, airdrop. Не важливо, яка саме платформа: це головний фільтр
• Hands-on мобільна автоматизація: ADB + uiautomator2 / Appium на реальних застосунках, стійкі селектори по XML-ієрархії
• Впевнений Python — достатньо, щоб працювати в кодовій базі на FastAPI / SQLAlchemy. Не шукаємо «сеньйора-архітектора з 5+ роками»
• Прагматика парку пристроїв — розумієш, що «працює на одному телефоні ≠ працює на фермі»

Буде плюсом

• Android internals у глибину (Frida / Magisk / root, package / signature)
• Досвід із Play Integrity / attestation — рідкість, тому бонус, а не вимога
• Reverse engineering мобільних застосунків
• Ban-аналітика, робота з метриками виживаності акаунтів
• Browser automation (Camoufox / Playwright + 2captcha)
• Досвід саме з Instagram або TikTok — хоча крос-платформний anti-detect переноситься

Умови

• Повністю віддалено
• Графік на вибір: 9:00–18:00 або 10:00–19:00
• 14 календарних днів відпустки, 7 днів лікарняних, державні свята — вихідні (після випробувального)
• День народження — додатковий вихідний
• Випробувальний строк — 3 місяці
• Мінімум бюрократії, прямий вплив на архітектуру device-шару, сучасний AI-assisted воркфлоу

Data Warehousing, SQL (Snowflake)

• Досвід роботи зі Snowflake: проектування та оптимізація таблиць, створення уявлень (Views, Materialized Views), робота з налаштуваннями продуктів (Virtual Warehouses), керування правами доступу (RBAC).

• Глибоке знання SQL: написання складних, високопродуктивних запитів, віконні функції (Window Functions), CTE, оптимізація виконання запитів (Query Optimization & Execution Plans).

   

 Хмарна інфраструктура (AWS Cloud)

• AWS S3: організація Data Lake, налаштування бакетів, партиціонування даних, Lifecycle Rules та політики безпеки.
• AWS Glue: створення та підтримка ETL/ELT-пайплайнів, робота з Glue Catalog, Crawlers та PySpark/Glue jobs.
• AWS Lambda: розробка безсерверних (serverless) мікросервісів та обробників подій на Python.

• AWS CloudWatch & IAM: налаштування моніторингу, логування, аляртів, створення та управління політиками доступу та ролями (Least Privilege Principle).

   

 Мова програмування (Python)

• Впевнене володіння Python 3.x для розробки скриптів автоматизації та інженерії даних.
• Досвід роботи з бібліотеками для обробки даних (наприклад, pandas, pyspark, boto3, requests, SQLAlchemy).

• Розуміння принципів ООП, чистого коду (Clean Code), написання unit-тестів та інтеграційних тестів.

   

 Інфраструктура як код (Terraform)

• Досвід підходу Infrastructure as Code (IaC).
• Написання, підтримка та модульна організація Terraform-скриптів для автоматизованого розгортання ресурсів в AWS.

• Розуміння роботи зі state-файлами (Remote State, State Locking).

   

 Оркестрація даних (Apache Airflow)

• Проектування, написання та підтримка складнопідрядних DAGs (Directed Acyclic Graphs).
• Досвід створення кастомних операторів/хуків (за потреби).

• Розуміння принципів розкладу (scheduling), керування залежностями та обробки помилок/повторних спроб (retries).

   

 Інтеграції (Rest API)

• Проектування та розробка RESTful API для інтеграції між сервісами.

• Досвід взаємодії з зовнішніми API для збору/експорту даних (авторизація OAuth/API Keys, пагінація, rate-limiting).

   

 CI/CD, (CircleCI)

• Налаштування та підтримка автоматизованих пайплайнів збірки, тестування та деплою (CI/CD workflows) у CircleCI.
• Контроль версій з Git (Git Flow / Feature Branch Workflow).
• Upper-Intermediate (B2) для усного та писемного спілкування в команді.

Nice to Have

• Розуміння концепцій Data Modeling (Kimball, Data Vault) та Data Quality (Great Expectations, dbt).
• Базовий досвід роботи з Docker для контейнеризації додатків.

• Знання англійської мови на рівні 

   

Key Responsibilities

• Проектування, розробка та підтримка стійких ETL/ELT процесів для обробки даних з використанням Python, Airflow та AWS Glue.
• Автоматизація створення хмарної інфраструктури через Terraform.
• Підтримка та оптимізація сховища даних на Snowflake для швидкого доступу та аналітики.
• Розробка REST API сервісів та бекенд-компонентів.
• Налаштування автоматичного тестування та деплою кодів через CircleCI.

Amplifier AI is building a surgical planning 
platform powered by our own imaging, 
segmentation and 3-D measurement engine. 
We are a small team of engineers, radiologists 
and data scientists from Ukraine and across 
Europe. You would join the team developing the 
internal Python engine behind 3-D 
reconstruction and measurement for CT-based 
workflows.

Read this before you apply

We hire for reasoning about 3-D space, not 
for a title. The code itself is ordinary clean 
Python — the hard part is everything the 
geometry touches:
Voxel space vs. physical space, and every 
transform between them
Origin, spacing and direction — consistent 
across scanners, series and vendors
Real hospital data: incomplete series, odd 
orientations, inconsistent metadata
Geometric edge cases — surfaces that self-
intersect, clips that miss, distances that are 
"almost" right
Reproducibility: the same input must give the 
same number, today and in six months
If you can explain why a model is offset, 
mirrored or at the wrong scale — not just that it 
looks wrong — you will do well here.
Because the output feeds real surgical planning,
correctness is not negotiable. A wrong 
millimetre is a clinical problem, not a bug report.
This role is probably not for you if you want 
fully predefined tickets, a fixed roadmap, or to 
implement tasks without understanding the 
domain. Hospitals and real clinical data change 
priorities; we adjust as a team.

What We're Looking For

Python engineering (the core of this role)
- Clean, modular, strictly typed Python. We run 
mypy --strict, ruff, pytest, pre-
commit — and deep, technical code reviews.

- Confident with NumPy / SciPy and array-
heavy numerical code.

- Ability to own a feature end-to-end: from 
understanding the clinical problem to 
validating the result on real data.

3-D medical imaging fundamentals
-Understanding of origin, spacing and 
direction, and the difference between voxel 
and physical coordinates.

-Reading DICOM series correctly, validating 
RAS orientation, resampling without silently 
corrupting geometry.

-Comfort debugging complex geometric 
problems: distance, intersection, clipping, 
surface generation from labels.

Toolchain
-SimpleITK, VTK or PyTorch experience is a 
strong plus. If you haven't used them, you 
must be genuinely comfortable diving deep 
and learning independently — we mentor, but 
initiative is expected.
-Docker, Git, GitHub Actions, structured 
logging.

Ways of working
-Clear technical communication — you can 
explain your reasoning and defend a design.
-Ownership over micromanagement. Good 
written and spoken English.

What You'll Do
- DICOM & SimpleITK: read series correctly, 
validate RAS origins and directions, resample 
safely, maintain voxel ↔ physical transforms.
- VTK & geometry: generate surfaces from 
labels; implement distance, intersection and 
clipping algorithms; export reliable STL 
markers and geometry artifacts.
- Measurement & QA logic: build robust 
procedural tools for radiologists and handle 
the edge cases real hospital data produces.
- Pipeline reliability: performance tuning, 
structured logging, and making sure 
pipelines survive messy multi-scanner 
datasets.

Example challenges
- Build a robust distance-measurement tool 
between anatomical segmentations, with 
exportable nearest-point markers.
- Extract centerlines and anatomical landmarks
from noisy CT scans.
- Enforce consistent spacing / origin / direction 
across multi-scanner datasets.

If these sound exciting rather than 
overwhelming, you'll likely enjoy this role.

Nice to Have
- VTK surface / volume rendering experience.
- ML segmentation metrics and tooling (Dice, 
Hausdorff, nnU-Net, PyTorch).
- GPU acceleration and large-volume 
performance work.
- Background in radiology, biomedical 
engineering or clinical imaging.

Our Stack
Python 3.13+ · SimpleITK · VTK · NumPy / SciPy 
· Pydantic · PyTorch · nnU-Net · pytest · mypy 
(strict) · ruff · pre-commit · Docker · GitHub 
Actions · Git LFS · Sentry

What We Offer
Competitive salary, optional stock options, and 
a clear path toward senior-level ownership and 
technical lead responsibilities. Fully remote, 
small team, no corporate theater.

How to Apply
- CV or LinkedIn
- GitHub or portfolio — we value real code
- A short note: why does working in an 
evolving product environment excite you?

We're looking for a Python Backend Developer with a strong algorithmic mindset to join a sea transport logistics project. You'll be working on route optimization — designing and implementing algorithms and calculation models that solve concrete business problems in shipping and freight planning.  

Responsibilities: 

• Implement features and resolve bugs using AI coding tools as your primary workflow 
• Work with geospatial data: coordinates, routes, distance and travel-time calculations, coordinate transformations 
• Integrate and work with mapping / geolocation services (e.g. Google Maps APIs) for geocoding, distance matrices, and route data 
• Use AI coding assistants (Claude Code, Cursor or similar) as a primary part of your workflow to close a high volume of tasks 

• Document the logic behind your solutions so the team can reason about it after you 

   

Requirements: 

• 3+ years of production Python experience with a focus on algorithmic and computational tasks  
• Experience with optimization problems: route optimization, scheduling, resource allocation, or an adjacent class of problem 
• Working knowledge of graph algorithms and algorithmic complexity  
• Experience working with geospatial data (coordinates, distances, GeoJSON or similar) 
• Hands-on experience with optimization libraries — OR-Tools, NetworkX, PuLP, SciPy.optimize 
• Daily working experience with Claude Code, Cursor or similar AI coding tools 
• Upper-Intermediate English or higher 

Nice to Have: 

• Mathematical background: linear programming, combinatorial optimization, operations research, graph theory, statistics 
• Experience with Google Maps Platform APIs (Distance Matrix, Directions, Geocoding) or equivalents 
• Docker, basic cloud familiarity 

• Understanding of multi-agent AI systems 

   

We Offer: 

• Innovation Culture: Work in a team that actively experiments with AI and modern development approaches  
• Flexible workload: full-time or part-time — we're open to both, depending on your availability 
• Generous Time Off: 20 paid vacation days + 15 sick leave days annually  
• Professional Growth: Compensation for courses, certifications, and learning resources  
• Cutting-Edge Tools: Access to premium AI tools (Cursor Pro, Сlaude Code, GitHub Copilot, etc.) 

Recruitment Process: 

1. HR Interview  

2. Technical Interview   

3. Final Interview   

4. Job Offer