Jobs Python

About the Company

Digis is a European IT company with 200+ specialists delivering high-load SaaS platforms, enterprise solutions, and cloud-native products for clients worldwide. We build long-term engineering teams and ensure transparency, stability, and professional growth for every talent.
 

About the Client & Project
 

You will join the leading dropshipping automation platforms used by more than 1 million e-commerce entrepreneurs worldwide. The platform helps online sellers automate product sourcing, imports, pricing, and order fulfillment across multiple suppliers and marketplaces. Our client enables sellers to scale their e-commerce businesses by providing powerful automation tools, analytics, and educational resources.
 

Tech Stack
 

Backend: Python, FastAPI, Flask, Celery
Architecture: Microservices / API services
Development methodology: Scrum
 

Responsibilities
 

• Develop and maintain backend services using Python
• Design and implement scalable APIs with FastAPI / Flask
• Participate in splitting the existing API into multiple services
• Work on scaling high-load processes such as product scanning and automation
• Collaborate with engineers and Team Leads on architecture and technical decisions
   

Requirements
 

• 5+ years of experience with Python
• 3+ years of experience with FastAPI or Flask
• B2+ English level
   

Why this project is exciting
 

• Work on a global SaaS platform used by more than 1 million e-commerce sellers
• Become part of an international team
• Well-established and mature development processes
• Clear requirements and structured tasks
• Opportunity to work on scaling high-load automation systems
• Long-term project with continuous product growth
   

We offer
 

• Paid 20 vacation days per year
• Paid 5 sick leaves per year with no medical documents needed
• Personalized development plan
• Compensation for professional trainings
• Work equipment and workplace setup if needed
• English course compensation
• 100% horizontal company structure
• Opportunity to switch projects and technologies
• Accounting support
• Corporate psychologist services

Project overview

Summa is a cloud-based platform designed to transform the operations of accounting firms and tax consultants in Israel. By automating routine technical and administrative tasks, Summa enables professionals to focus on strategic and analytical aspects of their work, reducing operational hours by up to 80%. The platform leverages advanced technologies such as machine learning, artificial intelligence, and Optical Character Recognition (OCR) to optimize processes, including auditing, bookkeeping, tax reporting, and office management. Fully compliant with Israeli regulations and approved by the Israel Tax Authority, Summa aims to create a paperless, efficient, and cost-effective environment for accounting professionals.
As part of the Summa team, you will play a vital role in enhancing the platform’s functionality, improving its user experience, and ensuring it remains at the forefront of technology in the accounting industry.

Role
As a Strong Middle/Senior Python Developer (AI/ML Integrations) at Summa, you will play a key role in integrating AI and machine learning solutions into the platform, optimizing processes, and ensuring seamless interactions between advanced technologies and user workflows.
 

Requirements:

• 4+ years of professional experience as a Python Developer
• Proven hands-on experience integrating LLMs into backend or production systems.
• Strong understanding of vector databases and semantic search technologies.
• Solid expertise in RAG architecture and modern AI system design.
• Experience building robust ETL processes and data pipelines.
• Strong knowledge of API development (REST, GraphQL).
• Practical experience with cloud platforms such as AWS or Azure.
• Proficiency with Git and modern CI/CD pipelines
• Experience working in a start-up environment
• English-Upper-Intermediate (B2)
   

Nice to have

• Experience with containerization and orchestration tools (Docker, Kubernetes).
• Experience working with data lakes, data warehouses, or large-scale document processing systems.
• Understanding of MLOps practices, model lifecycle management, and deployment strategies.
• Experience with MCP, advanced agent frameworks, and multi-agent systems.
• Design and maintain automation workflows (e.g., n8n)
• Experience with the fintech industry
   

Responsibilities:

• Design, develop, and maintain backend services and AI-driven systems using Python.
• Integrate and operationalize Large Language Models (LLMs) in production environments.
• Architect and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and unstructured data sources.
• Build and optimize ETL workflows and data pipelines for structured and unstructured data.
• Develop and maintain APIs (REST, GraphQL) using frameworks such as FastAPI, Flask, or Django.
• Implement and manage AI agents, agent-to-agent (A2A) interactions, skills, and tool-based reasoning workflows.
• Integrate OCR, document processing, and knowledge extraction pipelines.
• Familiarity with LLM orchestration frameworks such as LangChain, LlamaIndex, or similar.
• Ensure system reliability, scalability, security, and performance in cloud environments.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Contribute to architecture decisions, code reviews, and best practices.
   

We offer:

• 20 vacation days (workdays)
• 7 sick days
• Personalized career growth
• Education reimbursement
• Corporate events and team buildings
• Equipment provided

Amplifier AI is building a next-generation surgical planning platform - powered by our own imaging, segmentation, and 3D measurement engine.

We are a focused team of engineers, radiologists, and data scientists from Ukraine and across Europe. We care about precision, reproducibility, and building tools that genuinely help doctors plan safer surgeries.

If you enjoy clean Python, 3D geometry, and solving real-world imaging problems - keep reading.

Why Amplifier

Real impact

Your work directly influences clinical decisions and patient outcomes.

Deep technical domain

Medical imaging is one of the most intellectually demanding areas in applied software engineering. You’ll work at the intersection of geometry, physics, and clinical reality.

Growth

Competitive salary, optional stock options, and a clear path toward senior-level ownership.

Engineering culture

Small team. Thoughtful discussions. Strict typing. Strong code reviews. No corporate theater.

How We Work

• Fully remote, with EU time overlap
• Communication in English / Ukrainian
• Ownership over micromanagement
• Code reviews are deep and technical (we care about correctness, not ego)

We move fast - but with engineering discipline.

Hospitals and real clinical data sometimes change priorities.

When that happens, we adjust together as a team.

This is not an enterprise environment with fixed roadmaps and perfectly predefined tickets.

It’s a product used in real surgeries - responsibility matters.

This Role Is Probably Not For You If

• You prefer fully predefined tasks with minimal ambiguity.
• You optimize mainly for comfort and predictability.
• You’re looking for a low-pressure role to focus on side projects.
• You want to “just implement tickets” rather than understand the domain.

We’re building production software used in hospitals.

Quality and ownership are part of the job.

What You’ll Work On

You’ll join the team developing our internal Python engine that powers 3D reconstruction and measurement logic for CT-based workflows.

Your responsibilities will include:

SimpleITK & DICOM

• Reading DICOM series correctly
• Validating RAS origins and directions
• Resampling safely
• Maintaining voxel ↔ physical transforms

VTK & Geometry

• Surface generation from labels
• Distance, intersection, and clipping algorithms
• Exporting reliable STL markers and geometry artifacts

Measurement & QA Logic

• Building robust procedural tools for radiologists
• Handling edge cases in real hospital data

Pipeline Reliability

• Performance tuning
• Structured logging
• Making sure pipelines survive messy real-world datasets

You will own features end-to-end:

from understanding the problem to validating on real data.
 

Our Stack

Core:

• Python 3.13+
• SimpleITK
• VTK
• NumPy / SciPy
• Pydantic

ML:

• PyTorch
• nnU-Net (segmentation experiments)

Tooling:

• pytest
• mypy (strict)
• ruff
• pre-commit
• Docker
• GitHub Actions
• Git LFS
• Sentry

We write clean, typed code.

Reproducibility is mandatory.

We prefer clarity over cleverness.

What We’re Looking For

We’re not hiring by title.

We’re hiring engineers who think clearly and care about correctness.

You’ll thrive here if you:

• Write clean, modular Python code
• Understand 3D medical image fundamentals (origin, spacing, direction)
• Know the difference between voxel space and physical space
• Enjoy debugging complex geometric edge cases
• Can explain your reasoning clearly

Experience with SimpleITK, VTK, or PyTorch is a strong plus.

If you haven’t used them before, you must be comfortable diving deep and learning independently.

We mentor - but initiative is expected.
 

Nice to Have

• VTK surface/volume rendering experience
• ML segmentation metrics (Dice, Hausdorff, nnU-Net)
• Interest in GPU acceleration and large-volume performance

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.

What You’ll Gain

• Deep expertise in medical imaging geometry
• Exposure to production-grade clinical data
• Mentorship in system design and performance optimization
• Opportunity to grow technical lead responsibilities over time

We invest in engineers who invest in the product.

How to Apply

Send us:

• Your CV or LinkedIn
• Your GitHub or portfolio (we value real code)
• A short note answering:

A Note from Us

We are Ukrainian engineers building software that blends science and purpose.

We don’t build hype.

We build tools that work in real clinical environments.

If you’re curious, precise, and ready to take ownership - we’d love to talk.

Our mission is to make learning technology accessible, easy and fun for users across the world! We are creating next-generation education platform for learning software development and intent to become a leading player in that market.

Are you interested in participating in the development of a platform that will be used by millions of users around the world? Do you want to help thousands of people enter the world of programming, data analysis, machine learning? Do you want to work in a team where your opinions and ideas really matter? If your answer to all the questions is yes, it's a match!
Currently we’re looking for a full-time Course Creator!

Responsibilities:

- Designing and creating various types of educational materials
- Monitoring the latest technological developments to quickly create new and, most importantly, relevant materials
- Collecting and analyzing feedback on developed materials
- Proposing and managing innovative ideas to improve not only the content team's performance but also the entire project
- In addition to the mandatory duties, there is the opportunity to engage in additional areas to some extent—like analytics, delve into content for social networks, or work on animations for courses, etc.

Requirements:

- Passion for educating others (experience as a tutor or teaching assistant is a plus)
- It is very important to have a main profile in a technical discipline - mathematics, computer science, or other related fields
- Academic background in mathematics, computer science, or other related fields. We are open to candidates with unfinished degrees (currently in progress)
- Video editing skills are also valued as the platform is moving towards a video format
- Creativity, artistic perspective
- Strong analytical and critical thinking
- English upper intermediate or higher;
- Ability to explain complex concepts in simple language;
- Thorough attention to detail.

What do we offer:

- Work within an ambitious team on a socially impactful education product.

- 20 working days of paid vacation per year, plus public holidays.

- An office with a reliable shelter, generators, satellite internet, and other amenities.

- Access to our corporate knowledge base and professional communities.

- Compensation for English language learning, external training, and courses.

- Medical insurance and full sick leave compensation.

- Company doctor and massage in the office.

- Sports activities: running, yoga, boxing, and more.

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the role:
We are looking for a Python Software Engineer to join our team and help us build an on-premise software pipeline for real-time computer vision. The system ingests camera streams (primarily RTSP), stores frames in a shared data layer, runs CV/AI engines for preprocessing and inference, applies inference logic to produce decisions, and sends results to Database/Portal/Alerting/Control integrations.

Responsibilities:
- Build and maintain the Camera Module to reliably ingest RTSP streams, decode frames, and handle reconnect/keep-alive/packet loss.
- Implement the Shared Data layer for raw and processed frame exchange across processes with backpressure and safe lifecycle management.
- Integrate and operate CV/AI Engines in Python (preprocess, inference, postprocess) with configurable model loading and runtime selection.
- Develop the Inference Logic layer that orchestrates cropping, batching, filtering, classification, and decision output formatting.
- Implement connectors for Database & Portal (event persistence, evidence references) and for Alerting & Control (events/hooks for downstream automation).
- Ensure production readiness on Linux with observability (logs/metrics), health checks, and robust error handling.

Requirements:
Must-have:
- Strong Python, OOP, clean architecture, typing preferred.
- Solid experience with multiprocessing/concurrency (process lifecycle, IPC patterns, queues/shared memory).
- Comfortable working in Linux (systemd/service mindset, networking basics, profiling/debugging).
- Familiarity with CV/AI tooling, and some related Python libraries such as numpy, opencv (cv2), and torch or tensorflow.
- Ability to work with streaming data and reliability constraints (timeouts, retries, resource cleanup).
Should-have:
- Experience with RTSP/RTP streaming and common issues (UDP vs TCP interleaved, jitter, packet loss, camera timeouts).
- Performance optimization (profiling, memory management, zero-copy patterns).
- Exposure to inference acceleration stacks (TensorRT/OpenVINO) or GPU deployment.
- Experience designing event schemas and integration with DB/message queues.

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

Join a Company That Invests in You

Seeking Alpha is the world’s leading community of engaged investors. We’re the go-to destination for investors looking for actionable stock market opinions, real-time market analysis, and unique financial insights. At the same time, we’re also dedicated to creating a workplace where our team thrives. We’re passionate about fostering a flexible, balanced environment with remote work options and an array of perks that make a real difference.

Here, your growth matters. We prioritize your development through ongoing learning and career advancement opportunities, helping you reach new milestones. Join Seeking Alpha to be part of a company that values your unique journey, supports your success, and champions both your personal well-being and professional goals.

What We're Looking For

Role Overview: You will take ownership of the search infrastructure for Ask Seeking Alpha — a financial intelligence platform powered by LLMs. Your main goal is to ensure our AI agents can find the exact financial data they need (articles, transcripts, news) in milliseconds. You will work on the Retrieval layer of our RAG architecture, combining traditional text search with modern vector search techniques.

Tech Stack: Elasticsearch (v8+), Python (FastAPI, Asyncio), OpenAI Embeddings, LangChain, LangSmith.

What You'll Do

• Search Engine Development: Design and implement Hybrid Search strategies. You will figure out how to best combine "keyword matching" (finding specific tickers like 'AAPL') with "semantic search" (finding concepts like 'revenue growth').
• Relevance Tuning: You are responsible for the quality of search results. You will build systems to measure and improve how well the search engine answers user queries (using tools like LangSmith).
• Vector Search & RAG: Manage the integration of OpenAI embeddings into Elasticsearch. You will solve challenges related to indexing long documents (e.g., earnings transcripts) so the AI retrieves only the most relevant parts.
• Performance Optimization: Optimize Elasticsearch queries and index settings to ensure low latency, even for complex queries with many filters.
• Python Backend: Develop and maintain the Python services that build queries and process results. We use FastAPI and Asyncio heavily.

Requirements

• Elasticsearch Expert: 5+ years of experience working with Search Engines in production. You understand how indices, analyzers, and mappings work "under the hood."
• Search Theory: You understand the difference between Lexical Search (keywords) and Vector Search (meaning), and know when to use which.
• Python Proficiency: Strong experience with Python 3.10+. You are comfortable writing asynchronous code (async/await) and building APIs.
• Data Engineering: Experience designing data schemas for search (how to structure JSON documents for efficient retrieval).

Nice to Have

• Experience building RAG (Retrieval-Augmented Generation) pipelines.
• Familiarity with LangChain or similar LLM frameworks.
• Experience with Evaluation tools (like LangSmith) to test search quality automatically.
• Background in Finance (understanding tickers, earnings calls, etc.).

Join a Company That Invests in You

Seeking Alpha is the world’s leading community of engaged investors. We’re the go-to destination for investors looking for actionable stock market opinions, real-time market analysis, and unique financial insights. At the same time, we’re also dedicated to creating a workplace where our team thrives. We’re passionate about fostering a flexible, balanced environment with remote work options and an array of perks that make a real difference.

Here, your growth matters. We prioritize your development through ongoing learning and career advancement opportunities, helping you reach new milestones. Join Seeking Alpha to be part of a company that values your unique journey, supports your success, and champions both your personal well-being and professional goals.

What We're Looking For

Role Overview: We are developing Ask Seeking Alpha — a high-load financial analysis system based on Large Language Models. The architecture is built on complex multi-agent orchestration using LangGraph, FastAPI, and Elasticsearch.

We are looking for a Senior Backend Engineer specialized in Generative AI to design agent workflows, optimize interactions with models (OpenAI, AWS Bedrock), and ensure the reliability of non-deterministic systems in production.

Tech Stack: Python (Asyncio), FastAPI, LangChain, LangGraph, Pydantic, Elasticsearch, AWS Bedrock / OpenAI API, LangSmith.

What You'll Do

• Agent Architecture: Design and implement complex agent orchestration logic using LangGraph. You will define state management, conditional routing, and error handling within the agent graph.
• Tool Engineering: Build and optimize the tool layer (function calling) that allows LLMs to interact with internal financial APIs and databases accurately.
• Performance Optimization:

-Reduce end-to-end latency through asynchronous processing and streaming (SSE).

-Implement semantic caching strategies to minimize API costs and response time.

-Optimize token usage without sacrificing answer quality.

• Observability & Evaluation: Implement automated evaluation pipelines using LangSmith. You will be responsible for setting up regression testing for prompts and agents to measure quality (correctness, faithfulness) before deployment.
• Advanced RAG: Refine retrieval strategies. Work on hybrid search implementation (Keyword + Vector), re-ranking, and query expansion to feed the most relevant context to the model.

Requirements

• Python Expert: Strong proficiency in modern Python. Deep understanding of asynchronous programming (asyncio) patterns is mandatory, as our entire I/O pipeline (Network, DB, LLM) is non-blocking. Experience with FastAPI and Pydantic (v2).
• Agentic Frameworks: Production experience with LangChain. Hands-on experience or deep conceptual understanding of LangGraph (or similar state-machine-based agent frameworks).

Deep LLM Expertise (What we mean by "Deep"):

• Non-determinism Management: Strategies for handling LLM hallucinations and ensuring reliable outputs (e.g., self-correction loops, specific prompting techniques like CoT/ReAct).
• Structured Outputs: Experience forcing LLMs to adhere to strict schemas (Pydantic/JSON mode) for reliable downstream processing.
• Context Optimization: Advanced strategies for managing limited context windows (summarization chains, sliding windows, selective context injection) beyond simple truncation.
• Inference Economics: Understanding the trade-offs between model size, latency, and cost (e.g., when to route to GPT-4 vs. a smaller/faster model).

Nice to Have

• Experience with Elasticsearch (DSL queries, analyzers).
• Knowledge of vector databases and embedding models.
• Background in FinTech or familiarity with financial data structures.

Employment Type: Part-Time (Hourly)

Experience:
1–3+ years of hands-on experience in web scraping, automation, or data extraction projects.

Role Overview:
We are looking for a Web Scraping Developer who can design and maintain reliable data extraction systems across complex websites and social platforms. The role involves building scalable scraping pipelines, handling anti-bot protections, and integrating modern AI-assisted development tools.

This is a part-time, hourly position suited for a strong junior or middle developer who is comfortable working independently and solving real-world scraping challenges.

Key Responsibilities:

• Develop and maintain web scraping and web crawling systems for extracting structured data from websites and online platforms.
• Handle complex scraping scenarios, including dynamically rendered pages, pagination, APIs, and large-scale data collection.
• Work with proxy networks, rotating IPs, and anti-bot protection mechanisms.
• Build scraping logic that can operate reliably across different site structures and layouts.
• Use AI-assisted development tools to accelerate development and debugging.
• Collaborate on improving scraping accuracy, stability, and performance.

Required Skills:

• Practical experience with web scraping and web crawling
• Experience working with dynamic websites (JavaScript-heavy pages)
• Understanding of HTTP requests, cookies, headers, and sessions
• Experience working with proxies and IP rotation
• Ability to analyze website structures and build resilient scrapers
• Comfortable using AI development tools such as:
  • Cursor
  • Claude Code
  • Other AI-assisted coding tools

Nice to Have:

• Experience scraping social media platforms
• Knowledge of anti-bot bypass techniques
• Familiarity with automation frameworks or headless browsers
• Experience building large-scale scraping pipelines

Work Format:

• Part-time
• Hourly payment
• Remote

ABOUT THE ROLE

We are looking for a highly skilled Python Engineer to work closely with AI engineering team to develop, deploy and implement AI-powered automations across the company.

Your primary responsibility will be to analyze internal processes, identify automation opportunities, and build intelligent solutions that improve efficiency, accuracy, and scalability. Integrate AI solutions and move them to production.

This role is ideal for someone who combines deep technical knowledge with a product mindset and enjoys building practical, high-impact AI systems.

Key Responsibilities

• Work closely with data science team and help them to develop highly optimized code for data processing and Machine Learning (ML).
• Define and implement the deployment processes.
• Develop backend REST services used in PoC. Design such services from scratch. Work closely with product team to identify the requirements.
• You will have flexibility to experiment with new libraries and technologies and use them for the projects.
• Integrate LLM models (OpenAI, Anthropic, open-source models, etc.) into internal systems and software products.
• Build and maintain prompt pipelines, agents, RAG systems, and internal AI services.
• Collaborate with operations, product, and engineering teams to map workflows and identify automation opportunities.
• Implement monitoring, logging, and evaluation frameworks for LLM-driven applications.
• Stay up-to-date with the latest advancements in LLMs, frameworks, and AI tooling.

ABOUT YOU

Qualifications & Experience

• Upper-intermediate level in spoken and written English
• Solid knowledge of Python and its ecosystem
• Experience with Relational Databases and SQL (PostgreSQL)
• Experience with Test frameworks (py.test, Tavern)
• Experience with Docker
• Hands-on experience with Git
• Understanding of Software Design, OOP, data structures and algorithms
• Understanding of REST API design principles
• Team playing attitude as well as ability to work and research independently

Would be a plus:

• Experience with LLMs, including fine-tuning, prompt engineering and model integration.
• Able to build meaningful visualizations of results
• Experience with AWS (preferred) or any other cloud provider (Azure, GCP, etc)
• Experience with data-mining methods and technologies
• Previous work with automotive or IoT data analytics
• Previous work on open source projects

WE OFFER

• International and multicultural working environment.
• Supportive regional team and collaborative culture.
• Clear career ladder and opportunities for personal development.
• Opportunities to gain new skills and grow both vertically and horizontally.
• Foreign language skills development (access to corporate platforms and language classes).
• Development benefit with an annual learning budget.
• Balanced paid time off package, including sick leave, public holidays, and vacation days.
• Additional seniority-based leave.
• Maternity and paternity leave.
• Bonuses for key life events (childbirth, wedding).
• Comprehensive health and life insurance coverage.
• Monthly sport and wellbeing support. Including team sport events.
• Corporate vehicle purchase discounts (preferential pricing on Stellantis vehicles).
• Access to various external partner benefits and discounts.

Location: European Union only
English Level: Minimum B2
Start Date: ASAP
Duration: long-term
Workload: Full-time

Core Requirements:
• 5+ years of software development experience (SaaS / product environment preferred)
• Strong hands-on coding background (daily development involvement)
• Strong expertise in Python / Django (backend architecture)
• Solid production experience with AI, including: LLM integration and orchestration, AI agents / agentic systems. Advanced use of AI APIs (OpenAI, Hugging Face, etc.)
• Experience with data architecture and pipelines
• Cloud experience (GCP preferred; scalability and migration)
• Understanding of performance, security and scalable systems
• Experience with testing, CI/CD and monitoring best practices

Current Tech Stack:
Backend: Python / Django
Frontend: React / Next.js
Hosting: Heroku (migration to GCP planned)
Storage: Google Cloud Storage
AI: OpenAI API
Monitoring: Sentry

Role Focus (Next 6–12 Months)
Deployment of personalized AI agents at scale
Strengthening data & AI architecture
Refactoring and improving existing features
Supporting and scaling a 5–6 person tech team

 

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

Simplify
Keep energy for life.

The daily quantum leap of technology development requires people to continually upgrade their skills to manage more complicated programs and devices. It consumes time and energy.

We work for simplifying the digital experience of people by making a wide range of functionally excellent IT products that are still intuitively usable. From the landing page for the one-time event up to the total automation of the business.

We work diligently and adequately because we value our and your time and energy.

If you share our principles — we will be pleased to work with You.

Technical Skills:

• 2+ years of experience in Software development  
• 1+ years of practical experience with Python.
• Knowledge of RESTful API design and implementation.
• Experience in scripting and automating workflows, including working with APIs for task automation.
• Understanding of software design principles, particularly SOLID.
• Basic knowledge of Linux systems and familiarity with the Linux command line.
• Proficiency with version control systems (e.g., Git, GitHub, Bitbucket).
• Practical experience with web frameworks like Flask, Django, or FastAPI.
• Familiarity with Celery, Redis, and RabbitMQ.
• Hands-on experience with containerization tools like Docker.
• Skilled in writing unit and integration tests.
• Knowledge of cloud platforms (e.g., AWS, Azure, GCP)

Problem-Solving Skills:

• Strong analytical thinking and problem-solving capabilities.
• Ability to debug, troubleshoot, and optimize code effectively.

Nice-to-Have Skills:

• Basic understanding of frontend technologies (HTML, CSS, JavaScript).
• English at an intermediate level or higher (to read and understand technical documentation).
• Familiarity with Agile development methodologies.
• Understanding of CI/CD pipelines and DevOps practices.

Responsibilities:

• Developing and maintaining tools and applications for the company’s infrastructure.
• Designing, supporting, and maintaining internal services.
• Transforming and storing data in various formats (e.g., JSON, XML, CSV).
• Automating workflows using APIs.
• Researching, configuring, and integrating third-party software into company processes.
• Providing general IT support and troubleshooting.

About Us
Webugol is a global digital marketing agency that empowers brands through omnichannel strategies. We are passionate about providing custom digital marketing solutions to our clients. Now we’re building a next-generation AI automation platform that helps digital marketers launch, optimize, and scale campaigns with unprecedented speed and precision. From smart data pipelines to real-time decision-making, we’re pushing the limits of what automation can do in the ad tech space.

We’re looking for a talented Python Developer to join our onsite team and work directly with the CEO to bring our core product vision to life.

Your Role
As our backend developer, you will:

• Develop and maintain FastAPI-based services powering our automation engine
• Build scalable async operations using asyncio (Python 3.10+)
• Manage and optimize PostgreSQL schemas and queries
• Integrate with major advertising APIs (Google Ads, Meta, etc.)
• Collaborate closely with the CEO on product features, strategy, and architecture
• Own key components of the platform and help shape the roadmap
• Contribute to a fast-moving, product-driven team onsite

What We're Looking For

• Core: Strong experience with Python 3.10+ and deep understanding of asyncio for building high-performance asynchronous applications.
• Frameworks: Experience with FastAPI and Pydantic (v2).
• Databases: Solid experience with PostgreSQL, including writing complex queries, optimizing performance, and schema management.
• ORM: Familiarity with Tortoise ORM is a big plus. Experience with SQLAlchemy or Django ORM is also valuable.
• Migrations: Proficiency with Aerich or Alembic for database migrations.
• Testing: Experience writing tests using Pytest to ensure code quality and reliability.
• Infrastructure: Experience working with Docker, CI/CD pipelines for automating deployments.
• Background Tasks & Scheduling:
  • Experience with background task management using tools like Redis, RabbitMQ, or Taskiq (ideal, or Celery as a fallback).
  • Understanding of scheduling tasks with Cron Jobs for data synchronization and periodic operations.
• External APIs: Experience working with Google Ads API, Google API Client, and Webhooks. Familiarity with other external APIs is an advantage.
  • Understanding of error handling, retries (using Tenacity), rate limiting (e.g., Leaky Bucket), and timeout management.
• System Design: Solid understanding of building modular systems, designing database structures, data flows between services, and queuing systems that scale efficiently.
• OOP & Clean Code: Knowledge of SOLID, DRY, and KISS principles. Experience implementing design patterns such as Strategy, Repository, and Factory.

Nice to Have:

• NoSQL: Experience with MongoDB.
• AI Integration: Experience working with OpenAI API, LangChain, or OpenRouter.
• Cloud Infrastructure: Familiarity with AWS, GCP, S3, or DigitalOcean.

Why Webugol?

• A fast-paced, collaborative environment with direct impact on the product
• Opportunity to work with cutting-edge technologies in the AI and ad-tech space
• Flexible working environment
• Competitive salary and benefits package
   

If you're passionate about backend development, automation, and building scalable systems, we'd love to meet you. Apply now to be a key player in shaping the future of digital marketing automation at Webugol.

Description

We are seeking a highly motivated and experienced Senior Python Developer to join our growing team. This role will focus on developing and maintaining a test automation framework, primarily using PyTest, with a strong emphasis on cloud VM runners. The ideal candidate will have a deep understanding of Python, testing techniques, and a passion for building robust and efficient systems. Experience with network protocols and OS Linux is highly desirable.

Requirements

– Experience with PyTest or other test libraries in Python.

– Strong understanding of Python and Linux OS.
– Expertise in Python package creation.

Nice to have skills, experience & qualifications:

– Familiarity with real-time operating systems (QNX preferred) and basic C++ knowledge.
– Experience with DDS communication protocol.
– Knowledge of the medical device development process.

Job responsibilities

– Design, develop, and implement a test automation framework using Python and PyTest.

– Optimize the test cases execution environment.
– Integrate test automation framework with in-house cloud orchestration platform.
– Support the Automation QA team.
– Documentation and training: Document the design of software and train team members on new workflows and tools.