Jobs

For our client, we are looking for a Python Developer to join the team and contribute to the development of innovative solutions.

As a Python Developer, you will be responsible for developing new functionality, improving existing solutions, and ensuring high-quality code through technical reviews. You will work in a SCRUM team on challenging and dynamic projects with the opportunity to mentor junior developers.

The Ideal Candidate

• 2+ years of experience with Python
• Strong understanding of business processes
• Hands-on experience with Django, DRF, FastAPI, LLM
• Practical experience with OpenAI API
• Knowledge of PostgreSQL, Redis
• Experience with Celery, Docker, Docker Compose
• Previous work in a SCRUM team
• English level B2+ (Upper-Intermediate)

What You Will Do

• Develop new project functionality
• Maintain and improve existing solutions
• Evaluate technical implementations and propose improvements
• Conduct code reviews with strong technical reasoning
• Mentor and support junior developers

What the Company Offers

• Official employment under a gig contract
• Paid vacation and sick leave
• Office/Hybrid format (modern office near Vasylkivska metro station)
• Regular salary reviews linked to the USD exchange rate
• Medical insurance
• Free gym near the office
• Parking for cars and bicycles

• Compensation for English courses and professional training

   

Lemberg Solutions is, above all, a group of passionate professionals led by a core team that have been meticulously selected over the last 15 years. We are based in Lviv, Rivne, and Lutsk, and opened GmbH in Hamburg, Germany.

At LS, people come first. We know that our success is based on our people’s achievements. Each and every one of our 200 team members is highly valued for their hard work, and we’re always excited to welcome new specialists ready to embrace challenges with us.

About the project:

We build cloud-native backend services, APIs, and background systems designed for scalability, reliability, and high performance. Our projects span consumer devices, energy, healthcare, and beyond, combining regulated requirements with rapid time-to-market and often bringing together a variety of technologies in a single project. You will develop services that process real-time device data, integrate multiple systems, handle high-volume cloud workloads, and power applications across diverse use cases. Make a direct impact by contributing to complex systems that drive innovation across industries.
 

PAY ATTENTION: only those candidates who meet the listed requirements will receive an answer!
 

Necessary skills and qualifications:

• At least 3 years of commercial experience with Python frameworks (FastAPI, Django REST, etc.)
• Experience with relational/non-relational databases
• Strong knowledge of the Object-Oriented Analysis and Design (OOAD) principles
• Hands-on experience with application performance optimization and low-level debugging
• Practical AWS/Azure engineering experience: creating and securing resources, not just consuming them from code
• Experience with containers and orchestration (Docker, Kubernetes)
• Good knowledge of the HTTP protocol
• Proactive position in solution development and process improvements
• Ability to cooperate with customers and teammates
• Upper-Intermediate English level
   

Will be a plus:

• Experience with any other back-end technologies
• Knowledge of communication protocols: MQTT/XMPP/AMQP/RabbitMQ/WebSockets
• Ability to research new technological areas and understand them in depth through self-directed learning
• Skilled in IoT data collection, managing device fleets, and implementing OTA updates
• Familiarity with healthcare data standards (e.g., FHIR, HL7) and HIPAA/GDPR compliance
• Expertise in documenting technical solutions in different formats
   

What we offer:

Time Off 

• 21 days paid annual leave 
• Unlimited sick leaves with a medical statement 
• 30 working days off for personal reasons without compensation 
• 5 days additional paid time off following your wedding or your child’s birth
• Paid public holidays

Workplace Benefits

• Free English classes in groups
• Flexible work schedule
• Fully equipped workstation
• Comfortable office
• Access to a video library of soft skill workshops

Financial Benefits

• Relocation support program
• Financial support from LS in case of emergency (reviewed individually)
• Overtime pay
• In-house accounting service

Fun

• Lviv IT Cluster gifts & discounts 
• Team building & industry events

Our company is looking to hire Middle Python Developer to our own project. This is a full-time remote position. 

About the company

At codeIMPL, we believe that innovation and growth go hand in hand. Since our launch in 2018, we have been helping businesses and individuals build strong, future-ready digital solutions across mobile, web, and beyond.

Today, we are a dynamic, fast-growing company trusted by leading global clients across FinTech, Blockchain, DeFi, Health & Fitness, and Gambling industries.

We rely on cutting-edge technologies and modern development practices to create scalable products that continue to grow and evolve.

About the product

Join us in building a large-scale fintech platform that's currently in an active expansion phase thanks to a rapidly increasing number of users.
Our product is much more than a payment system — it's a high-load solution with complex business logic, massive volumes of transactions, and rich data streams.

Responsibilities

• Develop and maintain asynchronous backend services (FastAPI, ARQ, service-oriented and microservice applications).
• Write clean, testable, and maintainable code.
• Participate in design discussions and suggest improvements to performance and developer experience.

• Collaborate openly with backend, frontend, DevOps, and product teams.

   

Requirements

• 3+ years of hands-on experience with Python (asyncio, typing, pydantic);
• Solid experience with SQLAlchemy 2.0 and Alembic;
• Proficiency in writing unit and integration tests (Pytest/Unittest);
• Hands-on experience with FastAPI and async task processing (ARQ/Celery/RQ);
• Database skills: PostgreSQL (indexes, transactions, RLS). Knowledge of TimescaleDB/ClickHouse is a plus;
• Experience in database query optimisation (EXPLAIN, keyset pagination, batching);
• Understanding of idempotency and outbox/event sourcing principles;
• Experience with Docker, docker-compose, local environments;
• Basic knowledge of Kubernetes and AWS (SQS, RDS, S3) is a plus;
• Understanding of observability (structured logs, traces, metrics);
• PCI DSS/ISO 27001 awareness will be a plus;
• Experience in Fintech domain will be a plus;
• English: intermediate or higher.

We offer

• Full-time remote job.
• Paid annual leave.
• Work with professional team and friendly atmosphere.
• Minimum of bureaucracy.

Why join us?

If you want to work on a challenging, high-impact project, with real growth opportunities — codeIMPL is the right place for you.
Here, your ideas matter. Your work matters.
Together, we build the future of digital finance.

We are looking for a Senior Python Engineer to join our team and play a key role in building secure, scalable, and high-performance services using AWS serverless architecture, AWS CDK, and Python. You’ll own the entire development lifecycle—from design and implementation to testing, security, and deployment—while collaborating with cross-functional teams to deliver exceptional user experiences.

What We’re Looking For

• 5+ years of experience in Python development.
• 2+ years of hands-on experience building and deploying serverless applications on AWS.
• Strong problem-solving and analytical skills, with a passion for clean, maintainable code.
• Excellent communication and teamwork abilities, with the confidence to lead and influence.
• Self-driven, proactive, and eager to learn and share knowledge.

Bonus Points For

• Experience with CI/CD tools (e.g., Jenkins, Git, Artifactory).
• Background in SaaS application development.
• Solid understanding of security best practices, including OWASP guidelines and threat modeling.
• Proficiency in AWS CDK for infrastructure as code.

What You’ll Do

• Design and develop backend services with a strong focus on Python and AWS serverless technologies.
• Take end-to-end ownership of features: from requirements gathering and architecture design to development, testing, and deployment.
• Gain deep product understanding to optimize solutions for real customer needs.
• Partner with UX experts to create intuitive, seamless user experiences.
• Collaborate closely with security architects, product managers, and engineering teams to deliver secure, scalable, and reliable services.

Work Schedule

Full-time working day. 

Interview Stages

1. HR interview with our recruiter
2. Technical interview with the Engineering Manager (1 hour)
3. Coding interview (2 hours)
4. Final HR interview with the client’s Head of People

We are looking for experienced Python/C++/C Back-End Engineer.
 
In this role, you will be responsible for developing and maintaining sophisticated software systems. Your work will involve integrating various machine learning / computer vision components into a system running on the edge device, ensuring high performance, reliability, and real-time capabilities. You will collaborate closely with engineers and researchers to build cutting-edge solutions for UAVs and autonomous systems.

Responsibilities:

- Deployment of computer vision processing systems to the edge
- Development of microservices and monolithic architectures
- Real-time systems optimization in terms of latency and bandwidth

Core Skills:
 

• 3+ years of experience in development with a focus back-end programming
• Strong expertise in C++
• Proficient expertise in Python
• Linux development and system-level programming, networking for real-time data transmission
• Concurrency and parallel computing (both in data layer parallelism and instruction layer parallelism)
  
  Experience in these areas would be a plus:
   
• Embedded systems and low-level optimization
• GStreamer, OpenCV, PyCuda (or similar)
• MAVLink protocol
• Companion computers (NVIDIA Jetson, Raspberry Pi, Intel, etc)
• Neural network accelerators (e.g., TensorRT, OpenVino)
• Debugging and profiling tools

About the Project

Our client is a mission-driven, technology-focused non-profit organization founded by leading tech entrepreneurs.

The organization aims to tackle one of the biggest global challenges — online misinformation — by building innovative AI-driven trust infrastructure.

It operates with the speed and technical rigor of a high-growth startup, combining social impact with deep engineering work.

The team is developing a trust signal platform that helps AI systems evaluate which data sources are reliable.

The first product focuses on Wikipedia, analyzing its entire content to generate trust signals (such as edit stability, author credibility, and conflict history) and exposing them via an API that large AI platforms can query before using the information.

Future plans include expanding to other major data sources like Reddit, scientific papers, and online news.

Position: Backend Engineer - Data Infrastructure & Web Scraping

We are looking for a Backend Engineer for our client — a specialist with deep expertise in web scraping and data infrastructure, to design and build the foundational systems powering the trust platform.

You'll be responsible for designing and implementing scalable pipelines that collect, process, and serve data from complex platforms at enterprise scale.

Your Challenge — First 3-6 Months

• Build a proof of concept capable of collecting and processing data from sources such as Wikipedia and Reddit.
• Design the first data collection, storage, and low-latency processing pipelines.

• Contributing to defining the architectural model of the B2B API for strategic partners.

   

Your Challenge — First Year and Beyond

• Scale the framework to include new data sources digital books, newspapers, scientific articles, and paywalled content).
• Structure a metadata and statistics layer that allows AI platforms to decide in real time which sources to trust.

• Build the first robust commercial API for global AI and technology companies.

   

Day-to-Day Responsibilities

• Develop large-scale scraping routines with focus on performance, accuracy, and source accessibility.
• Build and optimize data processing pipelines in Python, designing efficient SQL data models.
• Work within AWS (cloud-native), with flexibility for other clouds.
• Participate in architectural discussions and product decisions with the founding team.

• Apply creativity and critical thinking to solve unprecedented problems without ready-made playbooks.

   

Required Qualifications

Web Scraping Expertise

• Proven experience scraping large, complex platforms (Wikipedia, Reddit, etc.).
• Ability to handle multi-level link structures, edge cases, and partial-access restrictions.

• Experience bypassing anti-scraping measures and processing various data formats.

   

Backend Development

• Strong Python skills for backend scripting and automation.
• Experience parsing, cleaning, and structuring data from APIs and scraped sources.

• Accuracy and completeness when preparing large datasets.

   

Data & Infrastructure

• Proficiency in SQL for querying, transforming, and modeling data.
• Experience designing scalable data pipelines for collection, storage, and retrieval.

• Handling large datasets with low latency and high precision.

   

API Development

• Experience building B2B APIs that expose processed datasets with layered metadata.

• Understanding of performance optimization for enterprise-level APIs.

   

Cloud Infrastructure

• Experience working in AWS (adaptable to other cloud platforms).

• Understanding of cloud-native architecture and security best practices.

   

Nice to Have

• Familiarity with LLMs and Prompt Engineering.
• Experience with RPA or data collection automation.
• Knowledge of JavaScript for integrations.
• Understanding of distributed architecture and resilient system design.

• Background in NLP or statistical modeling for trust scoring.

   

Why You’ll Love It Here

• Build technology that directly improves the integrity of global information.
• Work alongside some of the world’s most successful tech founders and receive direct mentorship.
• Fully remote, high-impact work environment with startup velocity and autonomy.
• Your engineering work will influence how AI systems worldwide determine truth.

Phenomenon Studio is a full-cycle design and development company founded in 2019.
We help startups and small to medium-sized businesses build and scale products across Healthcare, EdTech, SaaS, FinTech, and Web3 industries. 
Recognized with 30+ industry awards, we deliver high-quality solutions that combine creativity, technology, and business impact.

Our customer is a GRC (Governance, Risk & Compliance Assessment) platform designed to automate risk assessment, vendor management, and compliance with security standards. It streamlines complex GRC processes by centralizing data, enabling efficient reporting, and reducing manual workload.

The product is used by universities and public sector organizations in the US.

Team: 2x Backend, Frontend, QA, AQA, PM, UI/UX Designer

Requirements:
 

• 5+ years of commercial development experience
• Strong knowledge of Python, Django, and Django ORM
• Hands-on experience with AWS, Docker, Bash
• Experience in writing unit tests
• Mentoring and code review experience
• Strong communication skills and experience collaborating with stakeholders
• Upper-Intermediate English level

Nice to have:
 

• Experience with AWS Lambda, Kubernetes
• Understanding of cybersecurity principles
• Knowledge of security standards (ISO 27000)
• Experience with django-mptt

Responsibilities:
 

• Develop and maintain backend functionality for the platform using Python and Django
• Design efficient database structures and work with Django ORM to ensure optimal performance
• Participate in system architecture discussions and propose improvements for scalability and reliability
• Lead by example through code reviews, mentorship, and adherence to best engineering practices
• Collaborate with the team members to align technical implementation with business goals
• Deploy and maintain services on AWS, leveraging Docker for containerization and CI/CD pipelines
• Communicate effectively with stakeholders to clarify technical requirements and provide accurate estimations.
• Take initiative to identify potential improvements, propose technical solutions, and contribute ideas that enhance product quality and performance

What we offer: 
 

• Remote work format and flexible schedule
• Autonomy in work, opportunity to build processes, and grow within the company
• Individual development plan and annual performance review
• Workshops and playgrounds for continuous learning
• Compensation for subject-matter training
• Corporate English classes
• Access to IT Loyalty Club
• Accounting support
• 18 working days of annual leave
• 7 working days of sick leave and 7 working days of unpaid leave
• All national public holidays off

Recruitment process: Recruitment interview - Technical interview - Final interview

About QOVES

We make software that helps patients and clinics diagnose, plan, and visualize how to improve their appearance. Our AI-driven tools are used by cosmetic medical clinics worldwide. We’re VC funded, profitable, and building the next evolution of our backend platform.

This is a remote role for strong individual contributors. You’ll work alongside our core London team, focusing on executing backend improvements, resolving complex bugs, and implementing new services designed by our architecture group.

We move quickly and value engineers who are meticulous, reliable, and thrive in a structured environment where every week brings a new system to strengthen or untangle.

Your Day-to-Day

• Fix real-world issues: investigate and patch production bugs such as segmentation failures, model timeouts, malformed API payloads, or broken async tasks — ensuring quick turnaround and robust solutions.
• Implement new features and services: turn technical design docs or ADRs into working backend code — whether building FastAPI endpoints, integrating a queue consumer, or wiring up a new AI microservice.
• Refactor and modernize legacy code: take older Django logic and gradually migrate it to cleaner, modular patterns (Celery workers, service boundaries, async APIs).
• Maintain reliability: add metrics, tracing, and error handling so your fixes are observable and measurable in production.
• Participate in small-scale refactors: support the architecture team by executing structured migration tasks (e.g., breaking monolith views into APIs, moving tasks into queues, adding retries).
• Write clean, testable code: follow established patterns, maintain consistency, and document your work clearly for the next engineer.
• Collaborate asynchronously: communicate clearly through PRs, design comments, and Slack updates across time zones.
• Contribute to stability: help improve CI/CD pipelines, identify recurring issues, and propose tactical fixes that improve overall reliability.

What You’ll Work With

• Stack: Python, Django/DRF, FastAPI, Postgres (master + read replicas), Redis, Celery/RQ, RabbitMQ/SQS
• Infra: Docker, Kubernetes/ECS, AWS, GitHub Actions, OpenTelemetry, SigNoz/Grafana
• Tools: Linear, Notion, Slack, internal CI/CD via Dokploy

What You Bring

• 5–10 years of backend development experience in Python (Django/DRF or FastAPI).
• Strong debugging skills — you’re comfortable fixing production issues quickly and safely.
• Experience executing from technical design docs or ADRs and delivering reliable, high-quality code.
• Practical understanding of queues, background jobs, retries, idempotency, and distributed system basics.
• Solid database knowledge — Postgres schema design, migrations, and query optimization.
• Comfortable working asynchronously with teams across time zones.
• Bonus: OpenCV or computer vision exposure, or experience integrating LLM/AI microservices.

What Success Looks Like

• You’ve resolved production issues that previously took hours to debug.
• You’ve implemented a new backend service end-to-end following an ADR.
• You’ve refactored messy legacy code into clean, testable modules.
• You’ve added metrics that make performance bottlenecks visible and actionable.
• You’ve earned trust by delivering stable, maintainable code week after week.

Compensation & Setup

• Competitive global salary
• Equity options
• Performance and quarterly bonuses
• Home-office stipend & hardware budget
• Learning and professional development support

Remote-first. Preference for candidates within ±4 hours of London (GMT).

Applications Closing : 21st Oct

C2 / Native English Required. Your communication skills are extremely important given this a remote role.

The legal world in the era of AI is changing like it's never before. We’re building autonomous AI agents for lawyers that complete work in hours that used to take months and costs billions for legal teams. We’re rolling this out with one of the largest law firms in the world and reshaping how their teams operate. That’s why we’re hiring a founding Python/NextJS engineer who is energized, motivated, and ready to reshape the industry together 🚀🔥

Responsibilities

• No legal experience required to start;
• Ship core features across Python/FastAPI and Next.js/React.
• Build/evaluate autonomous agents with LangChain + LangSmith.
• Design APIs & data models; integrate Supabase (auth, storage, vector search).
• Keep prod solid: tests, CI/CD, monitoring, security/GDPR.
• Work directly with founders/pilot users; iterate fast.

Requirements

• Heavy daily use of AI dev tools (Cursor, Windsurf, etc.)
• Experience in building production products with high ownership.
• Strong Python (async, FastAPI, pytest, typing) and Next.js/TypeScript.
• Proven LangChain in prod + LangSmith (tracing/evals).
• Supabase/Postgres (schemas, RLS, migrations, performance) - optional.
• Docker + GitHub Actions; sharp debugging; product mindset.
• Clear written/spoken communication.

Benefits

• Founding impact
• Continuous salary increments
• Ship with a top global law firm from day one.
• Modern tooling + LLM credits and budget.

If you’re ready to shape the legal world and work with leading enterprise law firms and legal companies, we’re waiting for you 🚀

A Python Developer specialized in building the Data Access Layer (DAL) is responsible  for designing and maintaining the code layer that abstracts interaction with APIs,  databases, or external services. The DAL typically consists of multiple Data Access  Objects (DAO) — modular components that encapsulate the logic for retrieving,  transforming, and persisting data. 

By separating the DAL from business logic, the developer ensures that applications can  consume data in a consistent, reusable, and maintainable way, regardless of the  complexity of the underlying APIs or data sources. 

Core Competencies: 

• Data Access Layer Design: Structures the DAL so that it provides a clear  contract for higher-level services, while hiding the details of API calls,  authentication, and error handling. 

• Data Access Objects (DAO): Implements DAOs to encapsulate access to  specific resources, enabling standardized CRUD-style operations. • API Integration: Strong expertise in REST APIs, including handling  authentication, pagination, and rate limits. 

• Python Development: Skilled in Python, object-oriented programming, design  patterns, modularization, and error handling. 

• Testing & Quality: Ensures DAL and DAOs are well tested through unit and  integration tests. Promotes reliability and resilience in accessing external  systems. 

Typical Deliverables: 

• A modular Data Access Layer library, implemented in Python, with DAOs for key  resources. 

• Documentation and usage guidelines for other teams to consume the DAL. • Error handling and retry logic abstracted within the DAL so that client code  remains clean. 

• Unit and integration tests to validate DAL/DAO correctness and robustness. • Experience with cloud environments (AWS especially) 

Additional Skills (Nice-to-Have): 
• Asynchronous programming with asyncio or frameworks like FastAPI.

• Familiarity with SQL/NoSQL databases and ORM frameworks (SQLAlchemy,  Django ORM). 

• Knowledge of DevOps practices (CI/CD pipelines). 
 

Value to the Team: 

By owning the Data Access Layer, this Python Developer ensures that the organization  has a single, well-structured entry point for all data operations. This reduces  duplication, improves maintainability, and accelerates feature development, since  other developers and analysts can rely on a consistent and reliable abstraction instead  of reimplementing API or database logic.

We are looking for an experienced Python Developer to join and strengthen our growing team. You’ll work on backend systems that power scalable, high-performance applications — including those with AI components. 
 

What you'll do:

- Develop and maintain reliable and scalable backend systems using Python.

- Implement new features and contribute to improving system architecture.

- Integrate AI components (e.g., LLMs, LangChain, vector databases) under guidance from senior engineers.

- Collaborate across teams to deliver solutions that meet client needs.

- Write clean, well-documented code and ensure code quality through testing and reviews.

- Take part in CI/CD, monitoring, and cloud deployment processes.
 

Requirements:

-Strong proficiency in Python and backend system design.

-Excellent spoken and written English communication skills.

-Solid experience with asynchronous programming (e.g., asyncio, FastAPI, aiohttp).

-Deep knowledge of relational databases (PostgreSQL, MySQL) and ORMs (SQLAlchemy, Django ORM).

-Practical experience with CI/CD pipelines, containerization (Docker), and cloud deployment.

-Strong understanding of software engineering principles, version control (Git), and testing frameworks (e.g., pytest).
 

Nice to have (not mandatory, but a big plus):

-Experience with LLMs, LangChain, vector stores (e.g., FAISS, Weaviate).

-Background in Data Science or Machine Learning.

-Experience with Cloud Infrastructure (AWS, GCP, Azure).

-Familiarity with microservice architectures and distributed systems.
-Previous experience in client-facing roles or product-focused development.

Mission — Why This Role Exists

We’re scaling ICEYE’s global operations. To do that, we need engineers who can simplify complex processes and build systems that improve how work gets done. This role exists to automate and structure the critical workflows that move customer contracts through to delivery, and to prepare our operations for the use of machine learning where it adds real value.

Expected Outcomes

• Key operational processes (lead to cash) are automated, integrated, and consistently reliable
• Manual interventions and workarounds are reduced through better structure, validation, and logic
• Cross-functional teams (Ops, Product, Finance) have better visibility and fewer blockers
• Real-time metrics, exceptions, and trends are surfaced early and acted on quickly
• The groundwork is in place for introducing learning-based systems where they help most

Responsibilities

1. Streamline and Orchestrate Workflows

• Streamline and accelerate lead-to-order-to-cash operations by designing modular workflow automations that support team-driven orchestration across systems
• Reduce manual steps by embedding logic into how tasks flow between tools, teams, and data
• Ensure workflows are stable, trackable, and responsive to operational events

2. Add Intelligence Where It Matters

• Work with other teams to bring scoring, prioritization, and exception logic into workflows
• Create dashboards and alerting that help operators see issues and patterns early
• Structure and log key decisions to support future learning and process improvements

3. Prepare for AI Systems

• Help lay the technical foundation for operations assistants that handle routine tasks, detect issues, and support operators
• Design data flows and capture feedback that will enable AI-based features over time
• Make sure anything “intelligent” is traceable, supportable, and aligned with ICEYE’s standards

4. Work Across Teams

• Collaborate with Ops, Product, Engineering, and Finance to understand pain points and priorities
• Build tools that work well with existing platforms and are easy to operate and maintain
• Focus on clarity, reliability, and real-world usability in everything you delivery

What Makes You a Strong Fit

Must-Have

• Experience building workflow automations or service integrations for business operations
• Hands-on work with tools like Salesforce, JIRA, NetSuite, Slack, or internal systems via APIs
• Proficiency in Python and/or TypeScript (React or FastAPI experience is useful)
• Familiarity with GenAI tools (OpenAI APIs, LangChain, FAISS, Pinecone)
• Able to design structured logic from semi-structured or human-driven processes
• Know how to monitor and improve systems after launch
• Experience building logs, metrics, or audit trails that support better operations over time
• Strong communication skills with both technical and non-technical colleagues
• Able to take vague goals and turn them into working, maintainable solutions

Nice-to-Have

• Exposure to ML workflows, including model deployment or data prep
• Background in operations-heavy fields like logistics, aerospace, or defense
• Familiarity with satellite operations, tasking, or quality control

Tech Stack Snapshot

Workflow & Integrations

• Python, Go, FastAPI, Flask
• PostgreSQL, Redis, REST APIs
• JIRA, Holistics, Databricks , Slack, Confluence, Workato, Salesforce, NetSuite, 
• Internal systems and service APIs

Infrastructure & Monitoring

• Docker, Kubernetes (GCP or AWS)
• GitHub Actions, Datadog, Sentry

Machine Learning & Intelligence

• scikit-learn, XGBoost, PyTorch
• Airflow, Prefect
• LangChain, OpenAI APIs, FAISS, Pinecone

Internal Tools

• React, TypeScript, TailwindCSS

Employment is subject to applicable security screening (incl. SUPO, where required)

We are an innovative iGaming company that doesn’t just grow but sets trends in its niche!
We are currently looking for a Senior Python Developer to design and build reliable, scalable, and high-performance systems.


Key Responsibilities:

• Design and develop new functional modules and services in Python
• Optimize and maintain the existing codebase, ensuring performance and scalability
• Work with relational databases (PostgreSQL, MySQL), NoSQL storages (Redis), and message queues (RabbitMQ, Kafka)
• Implement and maintain testing practices (unit and integration tests)
• Collaborate with frontend, QA, and DevOps teams throughout the development lifecycle

• Participate in code reviews and architectural discussions

   

Required Qualifications:

• 5+ years of commercial Python development experience
• Experience with asynchronous programming (aiohttp, asyncio)
• Experience with at least one web framework: FastAPI, Django, or Flask
• Knowledge of Git and collaborative workflows
• Experience with relational databases, query optimization, and complex SQL
• Knowledge of OOP and design patterns 
• Understanding of architectural principles (SOLID, DDD, Clean Architecture) 
• Experience writing unit and integration tests
• Basic knowledge of Docker and CI/CD fundamentals
• Experience working with enterprise-grade products, including building systems from scratch
• Background in transforming MVPs into full-scale product development
   

Preferred Qualifications:

• Experience with cloud platforms (AWS, GCP, Azure)
• Familiarity with monitoring and logging tools (Prometheus, Grafana, Sentry)
• Understanding of Event-Driven Architecture
• Previous experience in high-load or iGaming projects
• Ability to take ownership of projects and mentor team members
   

What We Offer:

• Remote work, Monday–Friday schedule
• Competitive compensation aligned with your experience and skills
• Opportunity to work on a top-tier iGaming project
• Growth and development opportunities within a strong team
• Paid vacation, sick leave, and an extra day off

The UKEESS Software House team is looking for a Senior Python Engineer to join our team for a full-time position (remotely in Ukraine or in Lviv’s office).

If you are looking for a chance to switch technologies for Machine Learning, this is the opportunity for you. We will assist you during your journey from Python Development to Machine Learning Engineering.

About the Customer and the Project:

Our customer is the world’s largest DNA network from the USA. This presents a unique opportunity to work with more than 60 billion digitized global historical records, 100 million family trees, and 18+ million people in their growing database. Our customers help people discover their family stories and gain actionable insights about their health and wellness.

About the team:

You will be a part of the Data Science team, which produces the search index for all the website’s images (content). We use Computer Vision and NLP models to retrieve names, dates, and relationships from various sources, such as Censuses, Birth Certificates, and Newspaper Articles.

One of the teams delivers their models to our team as Python packages through a Model Repository. We create and operate data pipelines in AWS, using Terraform and Python to retrieve images, process them through models, and return the extracted data as JSON messages. Our typical projects process millions of images per day. We focus on throughput, cost, and error handling.

After gaining new knowledge, you will be responsible for learning our deployment pattern and taking ownership of creating and operating several new pipelines.

Responsibilities will include:

• Develop and optimize scalable back-end services and APIs using Python
• Develop secure, high-performance microservices and data pipelines
• Collaborate with engineering, product, and business teams to understand requirements and deliver impactful ML solutions

After gaining mandatory knowledge:

• Perform data analysis and preprocessing using frameworks such as PyTorch, TensorFlow, Keras
• Maintain and improve MLOps workflows, including model versioning, monitoring, and retraining
• Design, implement, and deploy ML models and algorithms throughout their lifecycle — from development to production
• Optimize models for efficiency, scalability, and real-time inference in production environments

• Stay up-to-date with the latest advancements in machine learning and AI technologies.

   

Requirements:

• 5+ years of experience with Python development
• 3+ years of experience with AWS (including EC2, SQS, SNS, S3, Lambda)
• Commercial experience with Terraform 
• Strong knowledge and commercial experience with SQL and NoSQL databases
• Experience with CI/CD practices and tools (e.g., Jenkins, Git)

• English: Upper-intermediate at least (both spoken and written)

   

It will be a plus:

• Knowledge or experience with ML
• Experience with customer-facing operations, including monitoring, cost analysis, and troubleshooting production issues
• Experience with frameworks such as PyTorch, or TensorFlow, or Keras
• Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes)

• Bachelor’s degree in a related field or equivalent experience

   

What do we offer our new colleague?

• Competitive compensation (based on market data, but also depending on the technical level of the candidate)
• Flexible work schedule
• 3 health packages to choose
• Annual paid vacation and state holiday celebration
• Free English classes (online)
• Individual approach to professional growth
• Lack of bureaucracy and micromanagement
• Modern, comfortable office facilities (a barbecue zone, kitchens, lounge rooms, coffee machines, etc.)
• Foreign business trips (after the war)
• On-site parking lot and charge station for Electric Cars
• Corporate gifts, celebrations, and fun activities

• Sports activities: ping-pong, soccer, work-out

   

Suppose you have a passion for solving challenging problems, building scalable, robust systems, love working with the latest technologies in a fast-paced, flexible environment, and are excited at the prospect of having a significant impact on products with more than 3 million paying subscribers.

In that case, we want to talk to you! ;-)

About the Role

We’re looking for a hands-on Technical Lead to guide a team building a scalable SaaS platform. You’ll balance coding and leadership designing architecture, mentoring developers, and ensuring timely delivery of milestones.

What You’ll Do

• Lead technical implementation of a multi-tenant SaaS platform
• Develop scalable apps with React + TypeScript (frontend) and Python (backend)
• Oversee architecture, code quality, and CI/CD best practices
• Collaborate with product and DevOps teams
• Stay up to date with new technologies to enhance performance and reliability

Requirements

• 8+ years of software development experience
• 1+ year in a Tech Lead or similar role
• Strong in React, Python, TypeScript
• Experience with microservices and multi-tenant SaaS
• Knowledge of Docker, Kubernetes, and cloud (AWS/GCP/Azure)
• Excellent English (C1+) and ability to work in US/AZ time zone

Nice to Have

• Kafka / RabbitMQ
• CI/CD and DevOps background
• PostgreSQL, MongoDB
• OAuth, SSO, API security

We Offer

• Fully remote setup
• Opportunity to shape product architecture
• International team culture
• Competitive pay based on experience