Jobs Python

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: Development of a Market Risk platform for a global financial institution, supporting risk analytics, market data processing, and large-scale financial applications. 

What you will be doing:

As part of the team, you will be participating in a client project focused on Market Risk Technology solutions. You will help develop new software features, as well as support and maintain existing ones. You will write scalable and fault-tolerant code, debug applications, and build solutions for market data processing and risk analytics. You will collaborate closely with the client, product managers, and engineering teams to understand the system’s functional and non-functional requirements. You will contribute to code quality through unit testing, integration testing, code review, and system design to build robust software that aligns with the client’s business needs. 

What we are looking for:  

• 5+ years of commercial Python development experience.
• Strong knowledge of object-oriented programming, algorithms, and data structures.
• Experience designing scalable backend applications, frameworks, or data platforms.
• Experience building backend systems and working with REST APIs.
• Experience working with SQL, large datasets, and data processing pipelines. 
• Experience with automated testing and CI/CD practices.
• Experience using distributed computing technologies is a strong plus. 
• Strong problem-solving skills and ability to collaborate effectively in a team environment.
• Upper-Intermediate level of English or above. 
• Bachelor’s degree or higher.

What will be a plus:

• Extensive experience with C++ or Java/Scala.
• Experience in financial services or Market Risk systems.
• Knowledge of Historical VaR, Expected Shortfall, or FRTB.

What we offer:

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

Phenomenon Studio is a boutique product design and development agency founded in 2019. We work with teams who’ve outgrown what they’ve built — from venture-backed startups to established market leaders — and own the work end to end: strategy, design, development, and post-launch.

The team of 70+ senior specialists is based in Europe, with entities in the USA, Estonia, and Switzerland, serving SaaS, fintech, healthcare, and EdTech. Across 120+ launches, clients have raised $500M+. Phenomenon is HIPAA-compliant, Nielsen Norman Group UX certified, and a Webflow Experts partner, holding a 5.0 rating on Clutch — and most clients come back for a second project.

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: Solution Architect, 2x Backend, 2x Frontend, QA, PM, PO, UI/UX Designer

Requirements:

• 4+ years of commercial backend development experience
• Strong knowledge of Python 3.12+ and async programming (asyncio, async/await patterns)
• Strong hands-on experience with FastAPI (dependency injection, Pydantic, middleware)
• AI-assisted development as a daily practice - everyday, hands-on use of AI coding tools (Claude Code, Cursor, GitHub Copilot, or equivalent)
• Experience building AI agents and using Agent Skills
• Solid experience with SQLAlchemy 2.0 (async), PostgreSQL (asyncpg), and Alembic migrations
• Experience building real-time features with Socket.IO (or equivalent WebSocket frameworks) - rooms, namespaces, auth, scaling across workers
• Experience with Redis and distributed task queues (Celery, or arq/dramatiq)
• Understanding of multi-tenant architectures and data isolation patterns
• Experience with JWT-based auth and role/permission-based access control (RBAC/ABAC)
• Discipline around clean layering - clear separation between routes, services, and repositories (no SQL in the service layer)
• Hands-on experience with AWS (ECS Fargate, RDS, ElastiCache, S3, Secrets Manager, IAM), Docker (multi-stage builds), and Bash
• Experience designing and operating microservices (service boundaries, inter-service communication via internal SDKs, observability)
• Experience with Infrastructure as Code using Terraform (AWS provider, module composition)
• Strong experience writing unit and integration tests (pytest, pytest-asyncio)
• Mentoring and code review experience
• Strong communication skills and experience collaborating with stakeholders
• Upper-Intermediate English level
   

Nice to have:

• Experience with aioboto3 or other async AWS interaction patterns
• Experience scaling WebSocket/Socket.IO deployments (sticky sessions, Redis adapter, horizontal scaling)
• Experience with performance profiling and query optimization at scale
• Experience with CI/CD pipelines (GitHub Actions, GitLab CI)
• Familiarity with uv(Astral) or other modern Python package managers
• Understanding of cybersecurity principles
• Knowledge of security standards (ISO 27000, SOC 2)
• Experience with GRC (Governance, Risk, Compliance) domain

Responsibilities:

• Develop and maintain backend microservices using Python, FastAPI, and async SQLAlchemy
• Use AI tooling daily to accelerate delivery - while owning the correctness, security, and maintainability of everything that ships, regardless of how it was generated
• Design efficient database schemas, write performant queries, and manage schema evolution via Alembic
• Build and maintain real-time features via Socket.IO - event flows, room/namespace design, and reliable delivery under load
• Implement asynchronous workflows using Redis and Celery where appropriate
• Contribute to the microservices architecture - propose improvements for scalability, reliability, and clear service boundaries; consume and evolve internal SDKs for inter-service communication
• Work within a multi-tenant environment - build features that respect tenant isolation and scale across tenants
• Provision and evolve cloud infrastructure on AWS via Terraform (ECS Fargate, RDS, ElastiCache, ALB, IAM), following IaC best practices
• Collaborate with team members to align technical implementation with business goals
• Deploy and operate services using Docker and CI/CD pipelines
• Take initiative to identify improvements, propose technical solutions, and contribute ideas that enhance product quality, performance, and security posture

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

Ми шукаємо Senior Python Backend Developer у продуктову команду, яка розробляє real-time платформу для крос-біржового арбітражу на perpetual futures.

Це технічно складний FinTech/crypto продукт із фокусом на швидкість виконання, стабільність, роботу з біржами та обробку даних у real-time.

Технологічний стек:

• Python 3.11+, asyncio, FastAPI, Pydantic
• PostgreSQL, SQLAlchemy async, Alembic, TimescaleDB
• Redis
• NATS JetStream, Kafka
• aiohttp, httpx, WebSockets
• ccxt та API криптобірж
• AWS, Docker, GitHub Actions
• Prometheus, Grafana, OpenTelemetry

Проєкт працює з Binance, MEXC, BingX, Bybit та іншими біржами.

Що потрібно буде робити:

• розвивати Python backend та існуючу мікросервісну архітектуру;
• працювати з real-time market data та execution flow;
• інтегрувати нові криптобіржі та підтримувати існуючі інтеграції;
• працювати з REST API та WebSockets;
• оптимізувати latency та продуктивність системи;
• працювати з PostgreSQL, Redis, Kafka/NATS;
• забезпечувати надійність системи при помилках, часткових відмовах та проблемах із зовнішніми API;
• працювати з trading logic: ордери, risk checks, retry/rollback, reconciliation;

• підтримувати observability та моніторинг системи.

   

Що ми очікуємо:

• 3+ роки комерційного досвіду з Python Backend;
• хороший практичний досвід з asyncio та асинхронним Python;
• досвід із FastAPI / Pydantic;
• впевнене знання PostgreSQL та SQL;
• досвід із distributed/event-driven системами та хоча б одним із брокерів: Kafka, NATS або RabbitMQ;
• розуміння concurrency, race conditions, retries, idempotency та partial failures;
• досвід інтеграції сторонніх API;
• самостійність та здатність працювати з технічно складними задачами.

Важливий момент:

На проєкті основний фокус саме на async Python. Тут не використовуються Django/DRF та Celery, тому нам важливий кандидат, який має реальний досвід роботи з asyncio та розуміє, як працюють конкурентність і event loop.

Умови:

• Формат: remote;
• Графік: 9:00–18:00 або 10:00–19:00;
• Оплата: у USD, двічі на місяць;
• невелика продуктова команда: Product Owner, Architect, Backend, Frontend, DevOps;

• мінімум бюрократії та багато самостійності.

   

Процес найму:

1. Коротка онлайн-зустріч із рекрутером.
2. Технічна співбесіда з CTO.
3. Офер.

На технічному етапі основний фокус буде на asyncio, concurrency, distributed systems, queues та поведінці системи при часткових відмовах.

Softcery builds advanced AI systems for B2B SaaS companies. We partner with founders in the US and UK to design, build, and scale production-ready AI solutions that solve real business challenges. Our team focuses on complex AI engineering — systems that are technically robust, business-aligned, and built to scale. We combine deep technical expertise with strong product thinking, helping companies move from AI ambition to real, production impact.

We are looking for an AI Engineer to design and build AI agents, Voice AI solutions, and intelligent automations. You'll work with modern LLMs, agent frameworks, and production AI systems that solve real business problems.

What You'll Do:

• Build AI agents, Voice AI solutions, and intelligent automation workflows.
• Design and develop AI-powered applications using modern LLMs and agent frameworks.
• Build RAG pipelines and integrate AI systems with APIs, databases, CRMs, and third-party services.
• Design prompts, agent workflows, memory, and tool-calling capabilities.
• Optimize AI systems for performance, reliability, scalability, and cost efficiency.
• Explore new AI models, frameworks, and technologies, applying the best solutions to real-world use cases.

• Collaborate with engineers and clients to deliver production-ready AI solutions.

   

What We're Looking For:

• 1–3 years of commercial experience in AI Engineering.
• Strong Python skills.
• Hands-on experience with LLM APIs (OpenAI, Anthropic, Gemini, etc.) and AI-powered applications.
• Experience with LangGraph, LangChain or similar frameworks.
• Understanding of prompt engineering, RAG, embeddings, vector databases, and AI orchestration concepts.
• Strong problem-solving skills, ownership mindset, and eagerness to learn.

• English – Upper-Intermediate (B2) or higher.

   

What We Offer:

• Structured onboarding & mentorship – a clear onboarding plan, documented workflows, and a team that has your back.
• Flexible remote schedule – work from wherever and whenever you're most productive.
• Learning budget – we cover books, courses, English lessons, and AI tools for your professional growth.
• Full accounting support – so you can focus on the work, not the paperwork.
• Time off – 20 paid vacation days, 12 sick days, 2 paid period leave days/month (for women), and your birthday off.
• IT Cluster membership – access to professional events and networking opportunities in the local tech community.

🔁 Hiring Process: Screening → Test Task → Final Interview.

If you're excited about building AI products that solve real business problems and want to work with the latest AI technologies every day, we'd love to meet you 👋

Softcery builds advanced AI systems for B2B SaaS companies. We partner with founders in the US and UK to design, build, and scale production-ready AI solutions that solve real business challenges. Our team focuses on complex AI engineering — systems that are technically robust, business-aligned, and built to scale. We combine deep technical expertise with strong product thinking, helping companies move from AI ambition to real, production impact.

We are looking for a Strong Middle AI Engineer to lead the delivery of AI-powered products for international clients. You'll work on complex AI systems with a strong focus on Voice AI, collaborating directly with clients and taking ownership of features from design to production. 

What You'll Do:

• Deliver production-ready AI solutions for international clients from concept to deployment.
• Design and build AI-powered applications with a strong focus on Voice AI and intelligent automation.
• Integrate LLMs, third-party APIs, and business systems into scalable software solutions.
• Own technical implementation, make architectural decisions, and ensure high code quality.
• Collaborate directly with clients to clarify requirements, discuss technical solutions, and deliver business value.

• Continuously explore new AI technologies and apply them to real-world customer challenges.

   

What We're Looking For:

• 3+ years of commercial experience in Python development.
• Hands-on experience with developing AI-powered applications.
• Strong software design and problem-solving skills.
• Ability to independently own features and deliver projects with minimal supervision.
• Excellent communication skills and confidence working directly with international clients.
• English – Advanced (C1).

Will be a plus:

• Experience with React and Node.js.

What We Offer:

• Structured onboarding – a clear onboarding plan, documented workflows, and a team that has your back.
• Flexible remote schedule – work from wherever and whenever you're most productive.
• Learning budget – we cover books, courses, English lessons, and AI tools for your professional growth.
• Full accounting support – so you can focus on the work, not the paperwork.
• Time off – 20 paid vacation days, 12 sick days, 2 paid period leave days/month (for women), and your birthday off.
• IT Cluster membership – access to professional events and networking opportunities in the local tech community.

🔁 Hiring Process: Screening → Test Task → Final Interview.

If you enjoy taking ownership, solving complex engineering challenges, and building AI products that create real business impact, we'd love to meet you 👋

Project Description

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

Job Description

• 3+ years of developing and bolstering automated QA systems and associated test strategies
• Good coding Python skills
• Experience in developing and supporting testing frameworks, and developing automated test scripts (would be a plus)
• Understanding of Page Object pattern, knowledge of other automation patterns;
• Good working knowledge of at least one Linux/Unix-based platform as well as Windows;
• Experience in QA methodologies, a clear understanding of QA processes and artifacts;
• Experience with Scrum/Agile;
• Good communication and problem-solving skills;
• Excellent written and verbal English communication skills, developed interpersonal skills;
• Highly motivated, energetic, and able to easily switch between assignments. Ready for challenges!

Job Responsibilities

Working with the solid automation test framework and infrastructure;
Developing new and updating existing automation scripts;
Code review;
Debugging issues and creating bug reports;
Documentation creation;
Communication with international teams (US, UK)
Manual work: about 20%

Are you passionate about building AI-powered solutions that solve real business challenges? We are looking for a Middle AI Engineer to join our fully remote team and contribute to the development of advanced intelligent documentation platforms for the telecommunications domain.

At Sigma Software, we work with global Customers on innovative projects that combine modern engineering practices with cutting-edge AI technologies. In this role, you will participate in the full development lifecycle, from research and architecture discussions to implementation and deployment of scalable AI-enabled solutions.

Why join us? You will have the opportunity to work with modern LLM orchestration frameworks, cloud-native infrastructure, and enterprise-scale AI integrations while growing professionally in a collaborative and flexible environment.
 

CUSTOMER

Our Customer is a European telecommunications company focused on digital transformation and intelligent content management solutions. Together, we are developing AI-powered tools that optimize documentation workflows, automate content generation, and improve operational efficiency through modern agent-based AI systems and scalable enterprise infrastructure.
 

PROJECT

The project focuses on developing advanced AI-driven documentation solutions powered by large language models, orchestration frameworks, and cloud-native backend services. The platform integrates AI capabilities with internal and third-party systems while maintaining high standards of scalability, observability, and engineering quality.

This role combines AI engineering, Back-end development, and partial Full-Stack collaboration, giving you the opportunity to contribute across APIs, integrations, frontend features, and AI-enabled workflows in a modern Agile environment.

Job Description

• Participate in research and development activities for AI-driven documentation solutions
• Take ownership of features from concept through implementation and deployment
• Develop and maintain backend services and REST APIs using Python and modern async frameworks
• Integrate AI capabilities and agent-based workflows into existing platforms and services
• Collaborate on frontend functionality using React, TypeScript, and Vite where required
• Work with LLM orchestration frameworks and AI tooling integrations
• Ensure system reliability, scalability, observability, and maintainability
• Collaborate closely with AI engineers, frontend developers, product managers, and designers
• Participate actively in Agile ceremonies including sprint planning, refinements, demos, and stand-ups
• Contribute to CI/CD pipelines, deployment automation, and Kubernetes-based infrastructure
• Troubleshoot and resolve issues across frontend, backend, and infrastructure layers
• Continuously evaluate and adopt emerging AI technologies and engineering best practices

Qualifications

• At least 3 years of commercial software development experience
• Solid experience with Python and async web frameworks such as FastAPI
• Experience with React and TypeScript
• Experience with LangChain, LangGraph, or similar LLM orchestration frameworks
• Familiarity with AI tool integration protocols and agentic workflows
• Experience with cloud infrastructure
• Strong experience building and maintaining REST APIs
• Experience with relational databases and ORMs, preferably PostgreSQL
• Practical experience writing automated tests using frameworks such as pytest or Playwright
• Hands-on experience with Docker and Kubernetes environments
• Understanding of CI/CD pipelines and deployment workflows
• Ability to debug issues across the full application stack
• Strong Git skills and experience working in code-review-driven environments
• Experience working in Agile teams

• Upper-Intermediate level of English

   

WILL BE A PLUS

• Experience with Helm
• Experience with observability tooling such as Grafana, OpenTelemetry, or CloudWatch
• Experience integrating enterprise authentication systems such as OAuth2/OIDC or Keycloak
• Experience developing editor or IDE extensions
• Experience using AI coding assistants in daily development workflows
• Experience with enterprise-scale AI platforms
• Experience with cloud-native distributed systems
• Exposure to AI-assisted developer tooling
• Experience contributing to architecture decisions
• Knowledge of documentation tooling ecosystems

We're looking for an AI-Native Full-Stack Python Developer who is passionate about software engineering and excited to build real products using modern AI tools.

At Flexipy, you'll build production software for international clients in SaaS, AI, and business automation. We're looking for developers who enjoy solving real problems, communicate well, and are ready to take responsibility for their work. You'll collaborate with experienced engineers while continuously expanding your technical and product expertise.

We believe modern software engineers should know how to collaborate with AI, not compete against it. Claude Code, Cursor, ChatGPT, and similar tools are part of our daily development workflow. We expect every developer to know how to use AI responsibly to accelerate development while maintaining high engineering standards.

Core Technical Skills:

• Good understanding of Python Core (OOP, clean code, basic async)
• Experience with Django or FastAPI
• Basic understanding of REST APIs and backend architecture
• Basic knowledge of PostgreSQL or other relational databases
• Basic knowledge of React and JavaScript/TypeScript
• Experience using Git and collaborative development workflows

AI Development Skills:

• Daily experience using AI-assisted development tools such as Claude, Claude Code, Cursor, ChatGPT, GitHub Copilot, or similar
• Ability to write clear, structured prompts for software engineering tasks
• Understanding of prompt engineering fundamentals and effective context management
• Experience using AI for code generation, debugging, refactoring, documentation, testing, and research
• Ability to review, validate, and improve AI-generated code instead of accepting it blindly
• Curiosity to explore new AI tools and incorporate them into daily development workflows

Communication & Professional Skills:

• English level: B2+ (written and spoken) — comfortable communicating directly with teammates and clients
• Good communication and collaboration skills
• Responsibility and ownership of assigned tasks
• Self-organization and attention to detail
• Strong problem-solving mindset
• Curiosity, continuous learning, and willingness to grow professionally
• Ability to receive feedback and continuously improve

What You'll Do:

• Build backend features using Django or FastAPI
• Contribute to real client projects in SaaS, AI, and business automation
• Build and maintain REST APIs
• Fix bugs and implement new features
• Support frontend development using React
• Work with PostgreSQL and integrate third-party APIs when needed
• Write clean, maintainable, and well-documented code
• Use AI tools such as Claude Code, Cursor, and ChatGPT as part of your daily development workflow
• Participate in code reviews, daily syncs, technical discussions, and occasional client meetings
• Continuously improve your technical, product, and AI development skills

Nice to Have:

• Docker and Docker Compose
• Celery and Redis
• Basic CI/CD knowledge
• Experience with OpenAI, Anthropic, or other LLM APIs
• Testing fundamentals (Pytest, frontend testing)
• AWS, DigitalOcean, or other cloud platforms
• Active GitHub profile or open-source contributions

What We Value:

• Responsibility and ownership
• Honest and open communication
• Curiosity and continuous learning
• Attention to detail
• Teamwork and collaboration
• Product mindset
• Long-term commitment and professional growth

What We Offer

• Fully remote work
• Flexible working hours (start between 8:00–10:00)
• Work on modern international SaaS, AI, and automation products
• Mentorship from experienced engineers
• Daily use of modern AI development tools and workflows
• No micromanagement or screen monitoring
• Daily team syncs and weekly planning
• Friendly and collaborative engineering culture
• Learning budget after successful probation (courses, books, certifications)

Compensation:

$600–1100/month, depending on your technical assessment, experience, communication skills, and interview results.

Career Growth:

We believe in growing engineers—not just filling positions.

We conduct a performance and salary review after approximately 6 months, focusing on your technical growth, ownership, communication, and overall contribution to the team.

Ready to Apply?

If you're passionate about Python, AI, and modern software development—and want to build real products while growing alongside experienced engineers—we'd love to hear from you.

Please include:

• Your CV or LinkedIn profile
• GitHub profile (if available)
• A few words about projects you've worked on (commercial, freelance, university, or personal)
• A short note describing how you use AI tools (Claude, Cursor, ChatGPT, Claude Code, etc.) in your daily development workflow
• Your English level and availability

Our Customer:

Our customer is developing an AI-powered platform that helps organizations accelerate innovation through advanced artificial intelligence, secure infrastructure, and modern backend engineering. The team builds scalable, production-grade AI solutions designed to operate across cloud and private environments while maintaining high standards of security, reliability, and performance.

Your Tasks:

• Design, develop, and maintain scalable backend services, APIs, and system architecture for AI-powered applications.
• Take full ownership of features throughout the entire development lifecycle, from technical design and architecture to implementation, deployment, monitoring, and continuous improvement.
• Transform AI concepts, Large Language Model (LLM) capabilities, and intelligent agent designs into reliable, production-ready backend systems.
• Design and implement AI reasoning workflows, agent orchestration, and integrations with enterprise services, external platforms, and internal data sources.
• Build, maintain, and optimize CI/CD pipelines across cloud and secure private deployment environments.
• Ensure software quality through engineering best practices, self-review, automated testing, observability, and continuous improvement.
• Integrate LLMs into enterprise applications while ensuring security, scalability, and reliable production performance.
• Contribute to infrastructure design for secure AI deployments, including private, on-premises, and self-hosted environments.
• Collaborate closely with AI engineers, QA specialists, and cross-functional teams to deliver robust, production-grade AI solutions.
• Work independently with a high level of ownership while contributing to collaborative engineering initiatives and continuously raising technical standards.

Required Experience and Skills:

• 6+ years of experience as a Backend or Systems Engineer with strong expertise in backend architecture and system design.
• Hands-on experience building and deploying production-grade LLM applications or AI agent solutions.
• Strong experience designing and developing APIs, backend services, distributed systems, and scalable application architectures.
• Experience working with relational and/or NoSQL databases in production environments.
• Strong understanding of system reliability, scalability, observability, and performance optimization.
• Experience building and maintaining CI/CD pipelines and modern software delivery workflows.
• Experience working with Google Cloud Platform (GCP) and deploying cloud-native applications.
• Familiarity with secure private infrastructure, on-premises deployments, or hybrid cloud environments.
• Strong understanding of application security, API security, data protection, and privacy best practices.
• Proven ability to independently own technical solutions from architecture and implementation through production deployment and ongoing support.
• Experience collaborating effectively with AI engineers, QA teams, and cross-functional engineering teams in Agile environments.
• Excellent problem-solving, communication, and technical documentation skills.
• Fluent English.

Would Be a Plus:

• Experience working with open-weight or self-hosted AI models.
• Experience designing infrastructure for private AI deployments, including compute and operational considerations.
• Knowledge of knowledge graphs or graph-based data modeling.
• Background in algorithmic problem-solving or data science.
• Experience building personal software projects or contributing to open-source initiatives.

Working Conditions:

• 5-day working week, 8-hour working day.
• Remote work.

Mobilunity is looking for  Senior Python Engineer.

You will join a small, international product team building an API-first financial technology platform that provides automated working capital solutions to UK small businesses.

The role is highly impactful: you will design and build reliable, scalable services that directly influence how businesses access working capital. You’ll work in an environment with a high level of ownership, fast feedback loops, continuous deployment, and plenty of room to shape both the technology and the product.

This is not a role where everything is already defined. You’ll work with real ambiguity, help shape evolving architecture, make decisions with incomplete information, and collaborate closely with domain experts and other engineers.

What we’re looking for:

We need an engineer who is comfortable taking ownership of complex problems, making pragmatic technical decisions, and working in a product environment where both the codebase and the domain are continuously evolving.
 

The ideal candidate:

• thinks beyond implementation;
• is comfortable making decisions with incomplete information;
• understands scalability, reliability, security and business impact;
• has strong opinions about writing high-quality, typed Python;
• enjoys system design and building well-structured APIs;
• uses AI tools as a serious part of their engineering workflow while applying independent judgment;
• is comfortable working in a collaborative, low-ego environment.
   

Responsibilities:

• Design, develop and maintain scalable backend services using Python.
• Design and implement domain services using Domain-Driven Design principles.
• Build performant, secure and fault-tolerant serverless solutions on AWS.
• Work closely with subject matter experts to translate business requirements into technical solutions.
• Participate in architectural and technology decisions at both project and company level.
• Design and maintain idiomatic APIs and service boundaries.
• Work with data modelling and SQL to support data-driven decision-making.
• Contribute to infrastructure-as-code and cloud engineering practices.
• Troubleshoot and improve production systems.
• Work with AI coding tools and model-backed product features.
• Mentor other engineers and contribute to engineering best practices.
• Work in an Extreme Programming environment with TDD, continuous deployment and fast feedback loops.
   

Requirements:

• Strong commercial experience with Python.
• Experience building and running production services on AWS.
• Hands-on experience with AWS Lambda and DynamoDB.
• Experience with event-driven AWS services such as EventBridge and/or Step Functions.
• Strong understanding of typed Python and experience with Pydantic or similar approaches.
• Experience with Infrastructure as Code, preferably Terraform.
• Strong SQL and data modelling skills.
• Experience designing scalable backend systems and APIs.
• Strong understanding of software architecture and system design principles.
• Strong analytical and problem-solving skills.
• Experience working with AI coding tools in a professional engineering environment.
• Advanced English.
   

Nice to have:

• Experience in FinTech, lending or credit.
• Experience with open banking data.
• Experience with Snowflake or similar data platforms.
• Experience with evolutionary architecture.
• Experience designing eventually consistent systems.
• Experience with domain-driven design.
• Experience with event-driven and serverless architectures.
• Experience working in regulated environments.
• Experience with GitHub Actions or similar CI/CD platforms.
   

In return we offer:

• The friendliest community of like-minded IT-people
• Open knowledge-sharing environment – exclusive access to a rich pool of colleagues willing to share their endless insights into the broadest variety of modern technologies
• Mobilunity Medical Insurance program designed to attend our teams’ needs
• Paid vacations and sick leaves, including 5 paid days per year that don’t require a sick note
• Perfect office location in the city-center (900m from Lukyanivska metro station with a green and spacious neighborhood) or remote mode engagement: you can choose a convenient one for you, with a possibility to fit together both
• No open-spaces setup – separate rooms for every team’s comfort and multiple lounge and gaming zones
• English classes in 1-to-1 & group modes with elements of gamification
• Neverending fun: sports events, tournaments, music band, multiple affinity groups
   

Come on board, and let’s grow together!

We are seeking a highly skilled and experienced Team Lead Python/Django to join our dynamic team.

As a Team Lead, you will be an expert and a leader, playing a crucial role in guiding the development team, making technical decisions, and ensuring the successful delivery of high-quality software products.

You'll be a great fit if you have:

- 5+ years of experience with Python 3.4+;

- 4+ years of experience with Django/DRF and RESTful APIs;

- Experience working with relational and NoSQL databases (PostgreSQL, MongoDB, etc.);

- Familiarity with Elasticsearch;

- Knowledge of cloud solutions: AWS, GCP, Azure;

- Experience in multithreading/multiprocessing approaches;

- Proven experience in supporting and developing existing high-load projects;

- Proficiency with Docker, Kubernetes, and CI/CD pipelines;

- Previous experience in a Team Lead role;

- English proficiency — Upper-intermediate.

What you'll do:

- Lead and manage the Backend department and development process, providing support to team members.
- Develop and contribute to Backend Architecture.
- Participate in pre-sale activities
- Participate in decision-making processes related to design architecture, solution development, architectural, and code reviews.
- Write clean, well-structured, and maintainable code while maintaining high coding standards within the team.
- Develop high-load solutions and conduct R&D work with new technology.

Would be a plus:

- Experience with Celery;

- Experience with payment systems integrations.

We ensure your growth with:

- Great networking opportunities with international clients, involving challenging tasks;

- Involvement in building interesting projects from scratch using new technologies;

- Personal and professional development opportunities

- Competitive salary fixed in USD;

- Paid vacation and sick leaves;

- Flexible work schedule;

- Friendly working environment with minimal hierarchy;

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

- Team-building activities, corporate events.

At Geniusee, we help businesses thrive through technology partnerships and strengthen the engineering community by sharing knowledge and creating opportunities 🙌
We live by our values: Continuous Growth, Team Synergy, Taking Responsibility, Conscious Openness, and Result-Driven Mindset. Here, you’ll find a safe, inclusive, and supportive environment where your voice is heard, and feedback is welcome 🤗
Whether you want to work from home or from our offices in Kyiv / Lviv / Warsaw with stable electricity and Wi-Fi, we’ve got you covered.
Join us and make an impact 

Requirements:

• 3+ years of experience building applications using Python;
• Working experience with FastAPI (Flask/Django experience is transferable);
• Good knowledge of relational databases (SQLite, PostgreSQL) and SQLAlchemy: data modeling, schema design, writing efficient queries;
• Hands-on experience with AI tools in the development workflow (Claude Code, Cursor, GitHub Copilot, or similar code assistants);
• Experience using LLMs for generating realistic, internally consistent mock/synthetic datasets;
• Experience with RAG, Langchain, or Llama
• Experience with code quality tooling (Ruff, linters) and writing clean, maintainable, well-structured code;
• Ability to learn new technologies quickly.
• At least Upper-intermediate
• Experience with AWS services and infrastructure.

Responsibilities

• Backend development: Design, implement, and maintain server-side logic, RESTful APIs, and system integrations in Python.
• System integration: Build and maintain interfaces with third-party services, data sources, and internal components.
• Code maintenance: Refactor existing modules for improved performance and maintainability; address technical debt and resolve bugs.
• Database interaction: Develop and optimize queries, schema structures, and data manipulation processes across SQL/NoSQL systems.
• Testing: Write unit tests and contribute to automated testing frameworks to ensure code reliability and quality.
•Collaboration: Actively participate in team ceremonies, including sprint planning, daily stand-ups, and code reviews; coordinate with QA, DevOps, and frontend engineers.
• Documentation: Maintain comprehensive and up-to-date technical documentation, including API specifications, deployment guidelines, and design decisions.
• Planning: Provide technical input during effort estimation and assist in decomposing development tasks as part of agile delivery.

What will you get:
Career growth & projects
• Competitive salary based on your skills and experience, and a benefits package.
• Regular performance appraisals to support your career development.
• Professional development support: online courses, certifications, and study compensation (including English courses).
• A modern tech stack across challenging, long-term projects.

Health & well-being
• Paid vacation (18 working days) and sick leave (15 days).
• VIP medical insurance or sports coverage.

Work environment & flexibility
• Remote work from anywhere in the world or in one of our offices in Kyiv, Lviv, or Warsaw.
• Coworking compensation.
• Necessary equipment to perform your work.

Culture & community
• A collaborative and open culture where contributions are recognized.
• Regular corporate online & offline activities.
• Geniusee Charity Fund, making a difference beyond tech.

🚀 Join a fast-growing international iGaming company with 1,000+ professionals and a portfolio of successful projects operating across Tier 1-3 markets worldwide.
 

We're looking for a Junior AI Automation Specialist eager to build real AI-powered automations and solve business challenges using modern AI tools. No commercial experience is required—we're looking for curiosity, fast learning, and a passion for turning ideas into working solutions.
 

You'll work on real business automation projects using LLMs, AI agents, APIs, workflow automation tools, and our internal AI platform, with the support of experienced mentors.
 

Responsibilities

• Build AI-powered automations for internal business processes.
• Analyze business requirements and transform them into working AI solutions.
• Design, test, and improve AI workflows and automations.
• Integrate AI solutions with APIs and internal systems.
• Monitor, optimize, and document implemented solutions.
   

Requirements

• Strong interest in AI and modern AI tools.
• Hands-on experience using AI tools to build personal projects, automations, or prototypes.
• Ability to learn quickly and solve unfamiliar problems independently.
• Strong analytical thinking and problem-solving skills.
• Proactive mindset and willingness to learn.
• Understanding of spoken and written Ukrainian.
• Availability to work full-time.
• Location outside Ukraine and Belarus.
   

Nice to Have

• Personal AI or automation projects.
• Experience with AI coding assistants.
• Basic knowledge of APIs, Git, or programming.
• Experience with AI agents, no-code/low-code, or workflow automation tools.
   

We Offer

• Fully remote work
• Competitive salary package
• Paid vacation and sick leave
• Professional onboarding and continuous mentorship
• Transparent processes and clear business goals
• Career growth opportunities within a rapidly growing international company
• Dynamic, ambitious, and supportive team environment
• Access to internal expertise and knowledge-sharing initiatives
• Continuous professional development and learning opportunities
• Opportunity to work with cutting-edge AI technologies and build solutions that directly improve real business processes.
   

Ready to build real AI solutions and grow your career in one of the fastest-evolving fields in tech? We'd love to hear from you.

Keymakr is a leading provider of high-quality data annotation services for machine learning and artificial intelligence applications. We specialize in delivering accurate and scalable annotation solutions that empower businesses to develop cutting-edge AI models. Our team is dedicated to excellence, innovation, and customer satisfaction.

We are looking for a motivated Junior Python Software Engineer to help build, maintain, and improve internal tools and services. This role offers a great opportunity to grow your technical skills while contributing to real-world projects and automation processes.

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.

We run an internal data platform behind a talent representation intelligence product that maps out the entertianment industry.
 

We are rebuilding the platform (legacy Symfony/Angular → Django + React) because the current system stores its most valuable data as unstructured text and can't support where the product is going. . This is not a greenfield toy and not a rescue job — it's a planned rebuild with an unusual amount of groundwork already done:

• A product & architecture document with the domain model decided: what each module means, what dies, what changes, and the conventions (append-only history, structured-at-entry, derived-values-never-facts, and more)
• An epic breakdown with dependency order and explicit definitions of done
• A decisions register — every product ruling logged, searchable, current
• Approved feature specs for the major new modules (representation history, deals/endorsements restructure, awards, drafts)
• A migration standard: raw-row archives, legacy-ID mapping, conflict review queues, rehearsed cutover — nothing silently dropped, nothing silently merged
   

Your job is to design and build within that system: propose schemas and migration plans per module (we call these build contracts — you propose, product approves, then you build), stand up the foundation (auth, field-level permissions, API-first architecture), build the cross-cutting primitives (audit log, unified sources, soft delete, lookups), and run a phased legacy migration where reconciliation counts get reviewed, not just produced.
 

How we work — read this part twice:

• The documents are the spec; the legacy code is not. Many current features are unused and several database tables are mislabeled (we've mapped this). When you hit a question about what something should do, you ask — you don't resolve it from old code. We answer questions daily, in writing, fast.
• Gates are real. Every epic starts with your proposed schema + migration plan; implementation starts after approval. Epics close when their definition-of-done closes — including a researcher completing the workflow without your help — not when the tasks are checked off.
• AI tooling is welcome and expected. We assume you'll use agents/copilots — we do. What we hire for is what the tools can't do: judgment. You verify what your tools produce against the real schema and the real data before it reaches us. "The agent said so" is not a source. (Our favorite recent bug: a generated diagram claiming a name column was an integer. The person who catches that is who we're hiring.)
• Evidence over memory. Unknowns get investigated — code usage, row counts, what breaks — and then ruled on. We don't guess.
  
  You're a fit if:
• Senior Django + React, with real ownership of at least one system end-to-end (schema through UI through deployment)
• You've done at least one legacy migration or system replacement and can talk concretely about what went wrong and what you'd do differently
• You read before you build — genuinely. Our last mismatch was a capable developer who never opened the app or the documents; the interview is designed to detect this, so if it's not you, save us both the call
• You're comfortable proposing designs to a non-engineer product owner who is deeply involved, defending them in writing, and being overruled on product grounds without sulking
• Strong written English; async-first habits; you leave a paper trail by default
• Bonus, not required: search infrastructure (Typesense/similar), data-pipeline/ETL work, having worked alongside scraper/ingestion systems, PostgreSQL depth