Jobs Python

Requirements

• 2+ years of commercial experience with Python (Django, DRF, FastAPI)
• Strong knowledge of Python 3.8+
• Solid understanding of web technologies, REST APIs, and client-server communication
• Basic knowledge of React and understanding of frontend development principles
• Good knowledge of Docker and Docker Compose
• Basic understanding of deployment and CI/CD processes; experience with GitHub Actions or similar tools
• Confident Git skills, including reading and reviewing teammates code
• English – Intermediate level or higher (able to participate in technical discussions)

Responsibilities

• Develop and maintain backend applications using Python (FastAPI, Django, DRF)
• Design and implement new features and REST APIs based on business requirements
• Maintain, optimize, and improve the existing codebase for stability and performance
• Develop and maintain frontend features using React
• Participate in code reviews and contribute to improving code quality and development processes
• Assist with deployments, CI/CD pipelines, and basic DevOps tasks

Nice to Have

• Ability to work independently while actively participating in team discussions and brainstorming sessions
• Experience with AWS infrastructure and cloud services

At P2Bid, we build multiplayer games where every game mechanic is powered by a fast, reliable, and scalable backend.
 

We're looking for a Senior Python Developer with 5+ years of commercial Python experience, including 3+ years building asynchronous backend services under real production load.
 

About the role:

We're looking for an engineer who goes beyond implementation and takes ownership of technical decisions.

You'll be responsible for designing and evolving core backend services, owning critical parts of the system, reviewing code, and helping shape the technical direction of the product. We value engineers who think about reliability, scalability, maintainability, and long-term architecture—not just delivering features.
 

Requirements

• 5+ years of commercial Python development experience.
• 3+ years building high-load asynchronous backend services.
• Strong knowledge of Python 3.11+, async/await, the event loop, and asynchronous programming principles.
• Hands-on experience with asynchronous web frameworks such as FastAPI, Starlette, aiohttp, Litestar, or similar.
• Deep understanding of asyncio: gather, TaskGroup, task cancellation, timeouts, backpressure, and concurrency patterns. You understand why a silently failed background task is a production incident.
• Strong typing as a standard development practice. Experience with mypy or pyright, Protocols, Generics, and modern Python typing.
• Excellent SQL skills, including JOINs, indexes, transactions, and extensive experience with PostgreSQL.
• Strong understanding of PostgreSQL locking mechanisms (FOR UPDATE, SKIP LOCKED), transaction isolation levels, deadlocks, and query execution plans.
• Experience with SQLAlchemy (ORM or Core) or another mature ORM.
• Confident writing automated tests with pytest, fixtures, parametrization, and dependency mocking.
• Experience working with Docker, Git, and code reviews through Merge/Pull Requests.
• Production experience with message brokers such as Kafka, RabbitMQ, NATS, or similar. You've debugged real production issues—not just studied the concepts.
• Practical experience building distributed systems, including at-least-once delivery, idempotency, deduplication, and understanding why exactly-once delivery is not achievable over the network.
• Experience working with business-critical domains such as payments, billing, accounting, order management, inventory, or any system where mistakes have financial consequences.
• Strong understanding of failure scenarios. For example, you know how to handle cases where a request was sent but no response was received—and why a naive retry may be worse than a failure.
• Ability to perform meaningful code reviews, focusing on architecture, reliability, maintainability, and engineering quality—not just code style.
• English sufficient for reading technical documentation, writing code comments, and technical documentation. Spoken English is a plus but not required.
   

Tech Stack

• Python 3.12
• FastAPI
• PostgreSQL
• MongoDB
• NATS / JetStream
• Docker
• Kubernetes

We also use dishka (dependency injection), adaptix (mapping), FastStream (message broker abstraction), ty (typing), and uv (dependency management). You don't need prior experience with these libraries—they're based on familiar concepts and are easy to learn. During interviews, we focus on your understanding of asynchronous programming, SQL, distributed systems, and engineering trade-offs, not on knowledge of specific libraries.
 

If you meet most of the requirements, we'd love to hear from you—even if some technologies in our stack are new to you.

We are looking for a Middle Python Developer with a strong focus on backend development, high-performance APIs, and microservices to join the Dataforest team. If you are looking for a friendly team, a healthy working environment, and a flexible schedule ‒ you have found the right place to send your CV.

You'll be a great fit if you have:

• 3+ years of commercial experience with Python;
• Strong production experience with FastAPI (async programming, dependency injection, Pydantic);
• Strong understanding of asynchronous programming (asyncio, multithreading/multiprocessing);
• Experience with gRPC;
• Experience with AWS services;
• Experience with SQL databases, ORMs (e.g., SQLAlchemy/Tortoise), and query optimization;
• Solid understanding of client-server models, microservices architecture, and authorization/authentication principles (OAuth2, JWT).
   

Would be a plus:

• Experience with Redis and Lua scripts;
• Experience with Celery or other async task managers/message brokers;
• Experience with third party integrations (payments, iGaming platforms, CRM and similar).
   

What you'll do:

• Designing and developing high-performance Backend APIs using FastAPI and gRPC;
• Building and maintaining applications with a distributed microservices architecture;
• Writing efficient asynchronous logic and integrating third-party services;
• Developing data-retrieval applications and specialized scripts (similar to DAGs in Airflow or AWS Lambdas) to process information for further DS and DE workflows;

• Optimizing database queries and API performance to ensure low latency.

  
  We ensure your growth with:

• Competitive salary fixed in USD
• Flexible working schedule and fully remote work format
• Paid vacation days and sick leave days 
• Personal and professional development opportunities
• Participation in building innovative projects from scratch using modern technologies
• Team-building activities and corporate events
• English classes and educational events.

Domain: Banking & Finance
Experience: 5+ years
Project Duration: August, 2026 – November, 2026(to be extended)
Format: Hybrid
Location: Kraków, Poland

About the Project

We are looking for a Python Developer with AI expertise to join a team of engineers building strategic AI and machine learning solutions that are transforming the Credit and Lending industry.

Working in a dynamic, innovative, and well-established environment, the selected specialist will collaborate closely with business stakeholders to deliver impactful, production-grade AI solutions.

This role is a great fit for an engineer who enjoys leading technical initiatives and applying modern AI technologies to solve complex business challenges.

Responsibilities

• Design, develop, and maintain clean, scalable, and well-tested software solutions
• Lead the architecture and implementation of AI/ML systems, ensuring reliability, scalability, and alignment with long-term platform goals
• Take ownership of major AI initiatives from solution design through deployment and operationalization
• Support and mentor other engineers, promoting engineering excellence, collaboration, and continuous learning
• Help define and promote engineering standards, AI governance practices, and responsible AI principles across the organization
• Contribute to the technical roadmap by researching, evaluating, and prototyping emerging technologies, including advanced RAG approaches, LLM optimization techniques, and agent-based systems
• Collaborate with cross-functional stakeholders to translate business needs into effective technical solutions and clearly communicate complex concepts
• Build advanced AI-powered applications using Retrieval-Augmented Generation (RAG), vector databases, and large-scale financial datasets

Requirements

• 5+ years of strong commercial experience with Python
• At least 6–12 months of hands-on experience within the broader AI/ML ecosystem
• Practical experience with relational databases such as PostgreSQL, vector databases, key-value stores such as Redis, and Pub/Sub messaging systems
• Deep understanding of microservices architecture, API design, observability, and concurrent/distributed systems
• Ability to make and drive architectural decisions in complex technical environments
• Strong knowledge of modern LLM architectures and hands-on experience adapting and fine-tuning models for domain-specific use cases
• Practical expertise in Retrieval-Augmented Generation (RAG), prompt engineering, and related generative AI techniques

Nice to Have

• Exposure to Java, particularly for integration and middleware-related tasks

Tech Stack

• Python
• AI / Machine Learning
• PostgreSQL
• Redis
• Microservices
• APIs
• LLMs
• RAG

Location

• Hybrid from Kraków, Poland
• Important: the client requires office visits in Kraków 8 days per month

We build internal products and automation for our own teams to improve day-to-day business processes. Most tasks revolve around processing large datasets (millions of rows) and turning them into reliable, reusable outputs.

You'll work 50/50 between Python development and data work: building scripts/services and data pipelines, mainly with Pandas, plus some SQL and PySpark.

    What You'll Do

• Build internal tools and automation around data processing and reporting.
• Develop and maintain pipelines that ingest data from APIs and large files.
• Transform and validate data using Pandas; write clean, tested, maintainable Python.
• Use SQL mainly to extract data and for joins/aggregations when needed.
• Contribute to large-scale processing (PySpark/Spark) when applicable.

• Refactor and optimize existing scripts and pipelines; improve performance, readability, and reliability (tests/logging).

   

    What We're Looking For

• 2+ years of experience with Python in production.
• Strong Pandas: efficient transformations, joins/merges, memory/performance considerations.
• Solid engineering habits: tests, code review, debugging, and readable code.
• Working knowledge of SQL (MS SQL Server is our primary DB, but any RDBMS is fine).
• Comfortable with Linux and Git; daily tooling skills (e.g., VS Code).
• Excellent organizational and task management abilities.
• Self-motivated with the ability to work independently.
• Good written and spoken English communication skills.

    Nice to Have

• PySpark/Spark and/or Hadoop exposure; distributed processing concepts.
• Azure experience (storage/compute) or participation in on-prem → cloud initiatives; workflow orchestration is a plus.
• Data modeling fundamentals and basic ML understanding; а portfolio (GitHub/website) or examples of end-to-end projects/products (clean repo structure, README, tests) is a plus.

Responsibilities

• Extract Revit and IFC model data—properties, parameters, type/instance data, and relationships—using Autodesk Platform Services APIs
• Transform extracted model data into structured, analysis-ready formats such as Parquet, JSON, or CSV
• Process and manage derived geometry data (SVF/SVF2, OBJ, STL, IFC) for downstream analysis and visualization
• Build and maintain geometry data checks, including proximity/clash detection, bounding-box and volume validation, missing-element detection, and parameter completeness
• Run IFC quality checks to validate schema conformance, property-set completeness, and geometry integrity
• Develop and operate robust data ingestion pipelines, handling asynchronous translation jobs, webhooks, retries, and large/heavy models
• Map BIM data semantics onto the platform’s structured data model and identify API coverage gaps
• Collaborate with data, engineering, and AEC domain teams to ensure extracted data accurately reflects model intent
 

Required Skills

• Strong backend/data engineering skills in Python
• Experience with Autodesk Platform Services (APS) APIs (Model Derivative, Data Management)
• Proficiency in extracting and transforming BIM data from Revit and IFC models
• Familiarity with IFC schema, Revit property/parameter structures, and BIM data semantics
• Ability to handle and process geometry data (meshes, transforms, spatial queries)
• Experience with data formats such as JSON, Parquet, and CSV
• Knowledge of analytical/columnar data querying
• Experience with asynchronous pipelines, webhooks, and cloud-based data processing
• Familiarity with tools like trimesh, shapely, IfcOpenShell, or xBIM
• Git proficiency for version control

Responsibilities

• Architect and implement backend systems for AI agent orchestration, including workflow logic, task routing, and error handling
• Design and build scalable, containerized microservices to support real-time data processing and high-concurrency requests
• Develop secure API gateways and data access layers for integration with enterprise systems such as SAP S/4HANA, Ariba, and external data providers
• Create backend logic for knowledge retrieval, including integration with vector databases and retrieval-augmented generation (RAG) models
• Construct connectors for external data feeds, managing rate limiting, caching, and data normalization
• Implement security controls such as authentication, RBAC, and data redaction to meet defense-grade requirements
• Optimize backend systems for on-premise and air-gapped deployments, ensuring efficient resource usage and reliability
• Establish comprehensive logging, monitoring, and observability to support operational excellence and compliance
• Collaborate with cross-functional teams to deliver robust, production-ready backend solutions for AI-driven platforms
   

Required Skills

• Expert proficiency in Python (FastAPI or Django)
• Strong experience with Go or Java for high-performance microservices
• Deep knowledge of Docker and Kubernetes for containerization and orchestration
• Advanced skills in designing RESTful APIs and gRPC services
• Experience building and managing API Gateways (e.g., Kong, NGINX)
• Proficiency with PostgreSQL and vector databases (e.g., Weaviate, Milvus)
• Familiarity with enterprise integration protocols (OData, SOAP)
• Strong understanding of authentication, RBAC, and data security best practices
• Experience deploying and optimizing systems in on-premise or air-gapped environments
• Proven ability to implement logging, monitoring, and observability in production systems

We are a Ukrainian outsourcing company Join.To.IT, founded in 2012, and delivering software solutions across diverse business domains.
We focus on building long-term partnerships with our clients and delivering solutions that create real business impact. Our team consists of experienced professionals who take ownership of their work, value clear communication, and are committed to high standards in everything they do.
At Join.To.IT, we create an environment where engineers can grow, influence technical decisions, and contribute to meaningful projects alongside a strong and supportive team. 

Responsibilities

• Develop and maintain backend functionality primarily using Python
• Work with an additional backend technology/stack depending on project needs
• Support, improve, and scale existing backend projects and solutions
• Design and integrate APIs, services, and backend components
• Participate in project estimation, technical planning, and solution design
• Conduct code reviews and maintain code quality standards
• Collaborate with cross-functional teams to deliver scalable and efficient solutions
• Understand project business logic and translate requirements into technical solutions

Requirements

• 1+ years of commercial experience in backend development
• Strong commercial experience with Python
• Commercial experience with at least one additional backend stack: Node.js/TypeScript, PHP, Java, Go, C#/.NET, or similar
• Intermediate (B1+) English or higher
• Experience with Python frameworks: Django, DRF, and/or FastAPI
• Strong knowledge of databases: PostgreSQL, Redis
• Experience with REST APIs and backend integrations
• Experience using AI-assisted development tools/agents such as Claude Code, Cursor, Windsurf, Codex, Antigravity, or similar
• Familiarity with Docker and basic DevOps practices
• Ability to estimate development tasks and participate in project planning
• Good understanding of business logic and software development processes
• Strong communication and teamwork skills

Nice to Have

• Experience working commercially with 1+ backend languages/stacks
• Basic Frontend knowledge
• Experience with microservices architecture
• Experience with cloud platforms (AWS, GCP, or Azure)
• CI/CD experience

We Offer

• Office-based or remote work format (Kyiv, near Vasylkivska metro station)
• Working hours: 10:00–19:00, Monday–Friday
• Comfortable office with a shelter, Starlink, and uninterrupted power supply
• Medical insurance
• Free gym access near the office
• Paid vacation and sick leave
• Compensation for professional courses and development
• Supportive and loyal management

RedCore is an international business group that creates technological solutions for digital markets. Our products and services cover fintech, marketing, e-commerce, customer service, communications, and regulatory technologies.

We are looking for a Software Engineer (Python)!

Requirements:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field;
• 5+ years of experience in software engineering;
• Strong proficiency in Python, with experience with other programming languages;
• Strong knowledge of concurrency, parallelism, and related concepts;
• Experience with back-end frameworks (FastAPI);
• Expertise in object-oriented programming and SOLID principles;
• Experience with RESTful APIs and microservices architecture;
• Proficiency in version control systems, particularly Git;
• Familiarity with CI/CD pipelines and DevOps practices;
• Strong understanding of database systems (both SQL and NoSQL);
• Experience with AWS services, cloud architecture, and Serverless development;
• Knowledge of containerization technologies (Docker, Kubernetes);
• Testing and quality mindset; understanding Test Pyramid methodology and different Test Categories;
• Understanding of Observability (structured logging, metrics, traces, OpenTelemetry) and Reliability (circuit breakers, backoff, idempotency)

Will be plus:

- Startup experience
- Experience with message brokers (e.g., NATS, Kafka, RabbitMQ);

Responsibilities:

• Develop and maintain robust, scalable web applications;
• Design and implement efficient High Load APIs;
• Ensure high performance and responsiveness of applications;
• Implement security measures and data protection in line with industry standards;
• Participate in code reviews and contribute to improving development practices;
• Troubleshoot, debug, and upgrade existing software;
• Write technical documentation and maintain system architecture diagrams;
• Stay updated with emerging technologies and industry trends.

Our benefits to you:

☘️An exciting and challenging job in a fast-growing business group, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance, and more

🤝🏻Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed

🧑🏻‍💻Modern corporate equipment based on macOS or Windows and additional equipment are provided

🏖Paid vacations, sick leave, personal events days, days off

💵Referral program — enjoy cooperation with your colleagues and get the bonus

📚Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences

🎯Rewards program for mentoring and coaching colleagues

✈️In-house Travel Service

🦄Multiple internal activities: online platform for employees with quests, gamification, presents and news, clubs for movie / book / pets lovers and more

🎳Other benefits could be added based on your location 
 

🚀 Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

📍 About the Product:

We are building an AI-first platform that fuses multiple maritime data sources into a unified operational picture. The system builds a digital twin of global maritime activity, applies behavioral analytics and predictive AI models to surface smuggling, illegal fishing, container risk, and other compliance or security threats, and presents mission-grade intelligence to both commercial and government stakeholders. 

Operating at global scale, the platform processes millions of events and terabytes of geospatial data daily. 

About the Role:

You will join an autonomous team building agentic AI capabilities within a production-grade maritime intelligence platform.

As a Senior AI Engineer, you will design, build, and deploy production-grade AI systems powered by LLMs, autonomous agents, and retrieval-augmented generation (RAG). You’ll work across the full AI application lifecycle – from experimentation and prompt engineering to scalable deployment, evaluation, monitoring, and continuous improvement.

You’ll collaborate closely with platform engineers, researchers, and product teams to transform AI prototypes into reliable, secure, and scalable production systems.

📍 Key Responsibilities:

• Design, build, and deploy production-grade AI applications using LLMs, RAG, and agentic workflows.
• Build and optimize autonomous AI agents capable of planning, using tools, making decisions, and solving complex operational tasks.
• Integrate foundation models and LLM APIs into scalable systems, including retrieval pipelines, vector search, prompt orchestration, and AI memory.
• Develop AI evaluation and observability frameworks, including hallucination detection, trace analysis, model performance monitoring, experimentation, and continuous improvement.
• Build scalable Python backend services and integrate AI capabilities with distributed production systems.
• Collaborate with research and product teams to productionize new AI capabilities, taking them from experimentation to reliable real-world use.
• Own technical decisions and drive AI engineering best practices, including architecture, testing, tooling, deployment, and AI-SDLC standards.

📍 Required Competence and Skills:

• 7+ years of software engineering experience, including at least 1.5 years of hands-on experience building production AI applications, with proven experience delivering agentic AI systems used by real users.
• Strong software engineering background in Python or another backend language (Golang, Rust, TypeScript, Java, etc.), with the willingness to work primarily with Python. 
• Hands-on experience building agentic AI systems using frameworks such as LangChain, LangGraph, CrewAI, DeepAgents, OpenClaw, Hermes, or similar.
• Experience deploying and operating production AI services in cloud environments, with a proven track record designing scalable, event-driven architectures using messaging (SQS/SNS) and SQL/NoSQL databases. AWS experience is preferred.
• Experience integrating AI agents and AI-powered capabilities into production applications through GraphQL or REST APIs.
• Experience taking AI applications from development to production and collaborating with platform engineering teams on deployment and operation using Kubernetes and Terraform.
• Experience ensuring production AI systems are reliable, secure, observable, and ready for mission-critical use, including monitoring and incident response.
• Excellent communication skills, autonomy, and accountability in ambiguous, high-velocity environments.

Nice to Have:

• Experience with React.js and full-stack development, with the ability to contribute to frontend development when needed.
• Experience with vector databases and similarity search in production AI applications.

Why Us:

We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

We provide full accounting and legal support in all countries we operate.

We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

We offer a highly competitive package with yearly performance and compensation reviews.

We are looking for a Python Software Engineer - Autonomous Systems to join our autonomous systems control team.

This role is a strong fit for an engineer who is comfortable with mathematics, and is interested in growing into control engineering for autonomous systems.

We consider engineers at Middle+ level.

Responsibilities:

• Develop and maintain control and decision-making algorithms for autonomous guidance
• Perform testing in simulation environment and in real life
• Analyze system behavior and logs
• Navigate through research papers and algorithm descriptions in field of autonomous systems and apply them in practice

Required qualifications:

• 3+ years of software development experience in ML, robotics, simulation, gamedev or other algorithmically intensive domains
• Strong programming skills in Python and C++
• Hands on experience with concurrent and parallel programming
• Mathematical background, including: linear algebra (vectors and matrices, coordinat systems and transformations) calculus (derivatives and integrals)

Would be an advantage:

• Control theory fundamentals
• Olympiad programming
• Signal processing
• Machine Learning
• Mavlink
• Simulation tools (Gazebo, AirSim)
• ITL, HITL testing
• X4, Betaflight, ArduPilot

What We Offer:

• Opportunity to work on cutting-edge embedded products
• Competitive salary and benefits
• Flexible working model (remote / hybrid / onsite)
• Professional growth and learning opportunities
• Collaborative and engineering-focused culture

About us:
Farsight Vision develops AI-powered geospatial intelligence solutions for defence and security operations. The platform transforms raw aerial and sensor data into real-time 3D environments, actionable analytics, and AI-assisted operational scenarios, enabling enhanced situational awareness, mission planning, and faster decision-making for both human operators and autonomous systems. We operate at the intersection of geospatial data, computer vision, and defense operations – and if that interests you, read on.

Responsibilities:
- Design, develop, and deploy production-ready computer vision algorithms for image and video analysis in GIS-related applications
- Build end-to-end perception pipelines – data collection, preprocessing, model development, deployment, and monitoring
- Integrate CV components into operational products in close collaboration with cross-functional engineering teams
- Optimize algorithms for performance, reliability, and scalability in real-time and resource-constrained environments
- Develop and deploy Visual Place Recognition (VPR) systems for geo-localization and scene understanding tasks
- Implement and optimize CV algorithms on embedded and hardware-accelerated platforms, ensuring stable and efficient inference at the edge
- Process and analyze large-scale datasets for model training, validation, and continuous improvement
- Diagnose and resolve complex issues across computer vision applications in production
- Contribute to internal research, exploring emerging techniques in image synthesis, manipulation, and applied ML.

Requirements:
- Expert-level Python – this is our primary engineering language. You must be comfortable writing clean, efficient, production-quality Python code
- 5+ years of hands-on experience in computer vision and applied machine learning
- Deep working knowledge of core CV and ML libraries: OpenCV, PyTorch, TensorFlow, and related tooling
- Solid understanding of machine learning, deep learning, and model development workflows end-to-end
- Hands-on experience with Visual Place Recognition (VPR) algorithms and techniques, including descriptor-based retrieval, sequence matching, and localization under varying conditions
- Proven ability to port, optimize, and run CV/ML models on embedded devices and edge hardware (e.g., NVIDIA Jetson, Raspberry Pi, or similar platforms)
- Proven experience with image processing, model training, and evaluation methodologies
- Ability to translate research into reliable engineering outputs with minimal supervision
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field – or equivalent demonstrable experience
- Strong analytical thinking and clear communication in a cross-cultural, fast-moving team.

Would be a plus:
- Experience with graphics APIs: OpenGL, OpenGLES, or Direct3D
- Background in graphical algorithms, 3D rendering, or computational geometry
- Familiarity with embedded systems or hardware-accelerated proces

Unidatalab is looking for motivated and ambitious students or recent graduates who are eager to take their first step into the world of AI-driven technologies. 

About the Client:

Our client develops an AI-powered voice solution for quick-service restaurants. The product combines NLP, speech recognition, and noise-cancellation technologies to automate drive-thru ordering. As a result, restaurants can significantly reduce wait times, improve order accuracy, increase operational efficiency, and enhance overall customer satisfaction. 

👉🏻 It's a product company; you'll be fully integrated into the client team, working with them directly through Unidata.

Who We’re Looking For:

• 3rd+ year students or recent graduates in Computer Science, Software Engineering, or related fields; 
• Confident Python knowledge and readiness to work with system configurations & low-code tasks;
• Upper-Intermediate spoken English, as the role requires daily communication in English; 
• Readiness to work full-time (8 hours/day); 
• Strong soft skills: responsibility, communication, proactivity, and good organisation. 

Tech stack: Python (YAML, JSON, pytest), Poetry, Git/GitHub. 

Hiring Process:
Call with Recruiter → Small Test Task on LeetCode → Interview with the HR from the Client's side (in English) → Practical task to become familiar with the product & Client Interview (in English) → Offer. 

Why Join Us: 

• Working with the real AI product; 
• Flexible, remote-first environment; 
• Paid vacation, sick leaves & holidays.

The family-style company is looking for a talented Full-Stack Developer (Python / Angular) to join our team. If you are looking for an awesome team, send us your CV!

About the Project
The project is a SaaS platform developed by a Polish company for healthcare visit scheduling and field service management. It focuses on optimizing workflows, managing visits, and enabling efficient communication through real-time features and system integrations.

What We’re Looking For:

• Python / Django: Experience with Django, DRF, and Django Ninja backend development
• PostgreSQL: Strong knowledge of relational databases and data modeling

Nice-to-Have:

• GraphQL / Real-Time: Hasura, Apollo Client, Redis, Django Channels, WebSockets
• Experience with Front-End frameworks such as Vue.js, React, or Angular
• DevOps: Docker, Docker Compose, GitLab CI/CD, OpenTelemetry
• Native Mobile (Bonus): Swift/iOS or Java/Android experience, especially with Capacitor plugins, video calling, and push notifications
• Third-Party Integrations: Twilio, Firebase, APNS, healthcare SOAP/XML APIs
• Analytics: SalesManago SDK

What we offer

• Opportunity to work remotely, or in a hybrid format
• Flexible schedule, start your workday anytime between 08:00 and 11:00, whatever works best for you
• Work equipment provided (if needed)
• Minimal bureaucracy, focus on work.
• Conferences, meetups (we support your professional growth)
• Sane and polite, but effective management
• The best corporate culture (according to our teammates' opinions)
• Competitive salary and other stuff
• Becoming a part of UKAD with unique value and long-term relationships
  
  Some facts about UKAD to help you make a decision

During 2022-2025, we only increased cooperation with our foreign partners

UKAD combines the benefits of family-sized companies, like no bureaucracy, easy access to the executives, with sustainable growth and vast opportunities

Our company is strong enough to be not just a vendor but a tech partner. We can afford to choose customers that respect developers

UKAD is one of the leading employers in Kharkiv, according to DOU

We never hire people for projects, but to build the team, so if the project ends, you remain a part of UKAD.

Aren't we the company you're looking for?

Numerical Technologies LTD is a provider of custom software solutions and services specializing in risk, limits, and regulatory capital. We are currently looking for a Senior Python Developer to join our team. 
 

Project: Portfolio management systems for a US financial institution. 

What you will be doing:  

As part of the team, you will be participating in a client project focused on portfolio management solutions. You will help develop new software features, as well as support and maintain existing ones. You will be writing scalable and fault-tolerant code, debugging programs, and integrating applications with third-party web services. You will be collaborating closely with the client and product manager to understand the system’s functional and non-functional requirements, and contribute to code quality through unit testing, integration testing, code review, and system design using Python to build robust software that aligns with the client’s business needs. 

What we are looking for:  

• A strong programming background with Python and OOP skills.
• Deep understanding of algorithms and data structures.
• Experience building backend systems and working with REST APIs.
• Proficiency with SQL databases.
• Experience with FastAPI and Linux environments.
• Strong problem-solving skills and ability to collaborate effectively in a team environment.
• Upper-Intermediate level of English or above. 
• Experience with React and AWS is a plus. 

What we offer: 

• Competitive compensation depending on experience and skills. 
• Regular assessments and salary reviews. 
• Paid personal days. 
• Mental health support program. 
• Language classes. 
• Flexible working schedule.