Jobs Python

Key responsibilities:
 

• Design and develop backend services and internal systems.
• Integrate with external services and APIs.
• Contribute to the architecture of new products and services.
• Analyze business requirements and translate them into technical solutions.
• Break down tasks, estimate complexity, and plan implementation.
• Work with databases and optimize their performance.
• Develop and maintain REST APIs.

Requirements:

• Strong proficiency in Python.
• Experience designing and developing services and distributed systems.
• Understanding of HTTP, REST APIs, and client-server architecture principles.
• Basic understanding of computer networks and networking protocols.
• Experience integrating with third-party services and APIs.
• Experience working with Docker.
• Proficiency with Git.
• Ability to independently define technical solutions, decompose requirements, and build implementation plans.
• Strong systems thinking and solid engineering practices.

We offer:

• Opportunity to work on cutting-edge defense technologies with real-world impact.
• Professional growth opportunities in a rapidly expanding international company.
• A chance to contribute to products used in mission-critical environments.
• Collaborative team of highly skilled engineers and innovators.
• Flexible and dynamic working environment.
• Competitive compensation package evaluated on a individual basis
• Medical insurance after the probation period.

We are looking for a Senior Python/Django Architect to join a long-term project for a Norwegian client in the financial sector.

👥 Team: 10 people — Backend, Frontend, Full-Stack, BA, UX & DevOps

📍 Location: Poland / CET

⏰ Engagement: Full-time, starting in September

✈️ Occasional travel to Norway  may be possible

💼 Project

A specialized cloud-based practice management and workflow platform for accounting firms and financial professionals. The solution centralizes task management, client communication and compliance processes such as AML/KYC.

👤 What we're looking for

A strongly technical Architect who can not only design solutions, but also challenge existing approaches, advise the client, set technical direction and solve complex problems.

🎯 Key requirements:

• Strong expertise in Python & Django (4.2)

• Django REST Framework, Django Filters, Celery

• Django ORM & data modelling

• Strong PostgreSQL & Redis experience

• Proven experience with performance & scalability

• Experience scaling existing Django systems without a "big-bang rewrite"

• Technical & architecture assessments

• Database optimisation

• Experience designing architecture for complex systems

• Good understanding of microservices

• AWS / AWS Fargate

• CI/CD — CircleCI is a plus

• Git / GitHub

• Strong communication with technical & non-technical stakeholders

• Ability to explain architectural decisions, trade-offs and risks

• Client-facing / technical advisory experience

• English C1

🛠 Tech stack:

Python · Django 4.2 · DRF · Django Filters · Celery · PostgreSQL · Redis · AWS Fargate · Angular 21 · TypeScript · RxJS · CircleCI · GitHub

📌 Responsibilities:

• Define and evolve the overall system architecture

• Translate business needs into technical direction

• Drive architectural decisions and technical priorities

• Identify risks and scalability challenges

• Guide engineering teams and provide technical mentorship

• Solve complex technical problems

• Contribute to technical roadmaps

• Work closely with the client and other stakeholders

• Ensure scalability, consistency and quality across the system

Our Client is a leading VC-backed defense technology company founded to bridge the decades-old gap between modern technology and critical national security requirements.

Today, we are building the necessary infrastructure to bring together sensors, autonomy, and operators with our technologies deployed in active operations around the world.

About this position

We are seeking a Senior Software Engineer to join our Legion Platform team. You will design, build, and deploy high-performance, scalable server systems and integration tools that connect hardware and software systems across environments and levels of command. As part of the Legion team, your expertise will be critical to solving complex system challenges and developing a robust platform that is deployed for real-world military missions. This role requires continuous innovation and is a good fit for an engineer who thrives under pressure and demands that their work have an immediate, tangible impact on national security.

Responsibilities

• Design, develop, and implement high-performance, scalable backend systems that form the foundation of the Legion platform.
• Create and maintain integration tools that ensure reliable connectivity between hardware and software systems at all levels of management and in different environments.
• Apply expertise in the development of distributed systems, data pipelines, and real-time information processing solutions.
• Solve complex system architecture problems to continuously improve and increase the reliability of the platform used for military missions.
• Actively work with relational databases (in particular, PostgreSQL), object storage (e.g., S3, MinIO), and geospatial tools.
• Ensure high engineering standards when developing HTTP APIs (REST, gRPC, or GraphQL) and implement reliable authentication and authorization models.
• Work closely with end customers to gather requirements, develop, and deliver software that has immediate and tangible impact.

Requirements

• 5+ years of hands-on backend engineering experience in fast-paced, production environments using either Go, Python, Rust, C/C++, TypeScript, or similar languages.
• Strong background in APIs, distributed systems, data pipelines, or real-time processing.
• Deep experience with relational databases (e.g., PostgreSQL), object stores (e.g., S3, MinIO), and geospatial tools.
• Strong grasp of HTTP APIs (REST, gRPC or GraphQL) and authentication/authorization models.

Will be a plus

• Experience working with Ukrainian Ministry of Defence, and/or NATO members.
• Exposure to Ukrainian military C2 platforms, including Delta, Kretchet, Oreanda, etc.
• Experience supporting Golang-based applications in production.
• Experience building plugins or integrations for common military command-and-control (C2) platforms (e.g. TAK, Maven, Lattice).

Company offer

• Meaningful stock options
• Full health, dental, and vision coverage
• Relocation assistance
• Unlimited PTO (two-week minimum) and all paid Ukrainian public holidays
• Paid parental leave for both parents

Location Kyiv

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 Team Leader (Python)!

Requirements:

- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field;
- 5+ years of experience in software engineering;
- 2+ years of team management experience;
- Strong proficiency in Python, with experience with other programming languages;
- Solid understanding of computer science fundamentals, data structures, and algorithms;
- 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 a plus:

- Practical AI app experience: implementing RAG pipelines (chunking, indexing, retrieval, re-ranking) with vector stores (e.g., pgvector, Qdrant, Pinecone) and framework glue (LlamaIndex, LangChain, pydantic_ai or any similar);
- Integrating LLM providers via API (prompt/function-calling/tool use), with guardrails, caching, retries, and fallbacks.
- Familiarity with MLOps tools and practices (deepeval, prompts versioning, etc.);
- Experience with message brokers (e.g., NATS, Kafka, RabbitMQ);
- Familiarity with graph databases and algorithms;
- Understanding of gambling or gaming industry technology stacks

Responsibilities:

- Take ownership of team projects, including delivery coordination, technical quality, risks, dependencies, and day-to-day execution;
- Plan and coordinate team work considering priorities, developer availability, vacations, sick leaves, and backup ownership;
- Ensure delivered solutions follow agreed architecture and clarify unclear technical decisions with the Architect / DTO / stakeholders;
- Be responsible for quality, consistency, maintainability, and production readiness of solutions delivered in code;
- Lead code reviews and improve engineering practices across testing, observability, documentation, reliability, and security;
- Develop and maintain robust, scalable backend applications and services that integrate AI models and AI-powered workflows;
- Design and implement efficient APIs, orchestration services, integrations, and data processing components;
- Collaborate closely with Architect, AI team, product, data, and infrastructure teams to deliver practical AI solutions;
- Troubleshoot, debug, optimize, and upgrade existing systems;
- Support and mentor developers through technical guidance, 1:1 meetings, knowledge sharing, and development planning;
- Identify knowledge gaps, reduce single points of failure, and organize knowledge sharing across team projects;
- Promote practical AI Engineering adoption in the team, including AI-assisted development, testing, documentation, debugging, and review workflows;
- Ensure AI-assisted work improves delivery speed without reducing code quality, security, or maintainability;
- Write and maintain technical documentation, diagrams, README files, and operational notes where needed;
- Stay updated with emerging backend, cloud, and AI Engineering practices and apply them where practical

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 is provided
🏖️ Paid vacations, sick leave, personal events days, days off
💵 Referral program — enjoy cooperation with your colleagues and get a 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

YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster.
We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact.
Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.
 

Our client’s product is a cloud-based financial planning and analysis (FP&A) platform designed for SMBs, transforming manual monthly and quarterly reporting into automated, scalable processes. Solution connects to organizational systems such as ERP, CRM, HRIS, and complex Excel files, consolidating all data into a single cloud-based database. Product automates critical financial transformations including FX conversions, eliminations, hierarchies, financial adjustments, and more while allowing end-users to continue working in Excel as they always have. Serving primarily the US market, our client is experiencing strong and sustained growth. This is an exciting opportunity to lead a multidisciplinary R&D team and work on a cutting-edge SaaS product at scale.

Key Requirements:

🔹Strong Python and system design fundamentals — enough to make sound technical calls and catch when the AI is wrong;
🔹Experience delivering software from idea to production;
🔹Excellent system design and architectural thinking;
🔹Ability to make technical decisions independently and take ownership of outcomes;
🔹Experience working with AI coding tools such as Claude Code, Cursor, Codex, GitHub Copilot, or similar;
🔹Strong product mindset and the ability to balance technical and business priorities;
🔹Comfortable working in ambiguous, fast-moving environments;
🔹Excellent communication and collaboration skills;
🔹Ability to review, challenge, and improve AI-generated output rather than relying on it blindly;
🔹Experience building AI-native development workflows;
🔹English – Upper-Intermediate or higher.

Will be plus:

🔹Django experience;
🔹Experience with modern frontend technologies, QA automation, or full-stack environments;
🔹Experience working in product companies or startups.

What you will do:

🔹Own features end-to-end, from initial requirements to production and monitoring;
🔹Partner with Product to turn requirements into clear execution plans — Product owns the what, you own the how;
🔹Orchestrate AI agents across development, QA, and automation;
🔹Review, validate, and improve AI-generated code and solutions;
🔹Make architectural decisions, define data models, and optimize system performance;
🔹Ensure high quality throughout the entire delivery lifecycle;
🔹Own a feature area while contributing across other areas when needed;
🔹Collaborate directly with engineering and product teams to continuously improve delivery processes.

Interview stages:
 

🔹 HR Interview;
🔹 Tech interview with Team Lead;
🔹 Interview with PM;
🔹 Interview with VP R&D (optional);
🔹 Reference check;
🔹 Offer.

Why Join Us?

At YozmaTech, we’re self-starters who grow together. Every day, we tackle real challenges for real products – and have fun doing it. We work globally, think entrepreneurially, and support each other like family. We invest in your growth and care about your voice. With us, you’ll always know what you’re working on and why it matters.

From day one, you’ll get:

🔹 Direct access to clients and meaningful products;
🔹 Flexibility to work remotely or from our offices;
🔹 A-team colleagues and a zero-bureaucracy culture;
🔹 Opportunities to grow, lead, and make your mark.

After you apply

We’ll keep it respectful, clear, and personal from start to offer. You’ll always know what project you’re joining – and how you can grow with us.

Everyone’s welcome

Diversity makes us better. We create a space where you can thrive as you are.

Ready to build something meaningful?

Let’s talk. Your next big adventure might just start here.

We are seeking an AI Infrastructure Engineer to join our client's team, working on a backend platform within the UK insurtech space. 

Responsibilities: 

• Design and take ownership of the platform runtime, including how agents are compiled, configured, and deployed at scale 
• Build the configuration layer enabling carriers to control and iterate on product journeys without requiring code changes 
• Own the data model underlying the platform's systems and tooling, ensuring the ability to rapidly meet evolving customer requirements 
• Define the security model, encompassing PII handling, data residency, and model access controls 
• Develop self-improvement loops, including performance tracking and automated evaluation across deployments 
• Establish the observability and audit trail infrastructure necessary for a regulated insurer to operate AI at scale with confidence 

• Continuously enhance the platform's engineering practices through automated validation, robust CI pipelines, and agentic review processes 

   

Requirements: 

• At least 5+ years of demonstrated experience building substantial backend infrastructure 
• Well-formed perspectives on distributed systems, API design, and designing for auditability 
• Strong proficiency in Python and Go, with exposure to secure DevOps/CI-CD practices and observability/audit-trail implementation 
• Prior experience delivering robust systems to a large user base 
• Proficiency with LLMs and agent frameworks; prior experience shipping a production agent platform is not required, though a thorough understanding of the associated constraints is expected 
• A security-first design orientation, integrated into the design process rather than treated as a compliance checklist 
• Upper-Intermediate English proficiency or higher 

We Offer:   

• Innovation Culture: Work in a team that actively experiments with AI and modern development approaches   
• Real Product Impact: Direct collaboration with a client and influence on product decisions   
• Flexible Work: Remote work or a modern office in Kyiv   
• Generous Time Off: 20 paid vacation days + 15 sick leave days annually   
• Professional Growth: Compensation for courses, certifications, and learning resources   
• Cutting-Edge Tools: Access to premium AI tools (Cursor Pro, Сlaude Code, GitHub Copilot, etc.)  

Recruitment Process:   

1. HR Interview   
2. Technical&Final Interview  
3. Client Stage 
4. Job Offer 

Join a team developing an enterprise-grade agentic AI platform that leverages AI agents, tools, skills, and orchestration capabilities to automate cybersecurity and business processes. The project involves building and enhancing modern GenAI solutions using technologies such as Python, Azure, RAG, MCP integrations, CI/CD, observability, and scalable cloud-native architectures. You will work on designing, developing, and industrializing advanced agent-based AI applications, contributing to new use cases, integrations, security features, and platform evolution.

• Responsibilities:

  * Design, develop, and maintain full-stack applications using Python, FastAPI, and React.
  * Build and enhance Agentic AI solutions leveraging LLMs, LangChain, LangGraph, and AI orchestration frameworks.
  * Develop backend services, APIs, and integrations with external systems and AI tools.
  * Design and optimize data models and queries in PostgreSQL.
  * Implement caching, session management, and performance optimization using Redis.
  * Collaborate with architects, DevOps engineers, and product stakeholders to deliver scalable solutions.
  * Ensure code quality through testing, code reviews, and adherence to engineering best practices.
  * Contribute to system observability, monitoring, troubleshooting, and platform reliability.
  * Participate in solution design and technical leadership.
  * Support CI/CD processes and cloud-native application deployment.

• Mandatory Skills Description:

  * 7+ years of professional software development experience.
  * Strong expertise in Python and modern backend development.
  * Experience with FastAPI and RESTful API design.
  * Strong frontend development experience with React.js.
  * Hands-on experience building Agentic AI applications.
  * Practical experience with LLMs (OpenAI, Azure OpenAI, Anthropic, or similar), LangChain, LangGraph, Langfuse.
  * Strong knowledge of PostgreSQL.
  * Experience with Redis.
  * Understanding of software architecture, design patterns, and scalable distributed systems.
  * Experience with Git, CI/CD pipelines, and modern development practices.
  * Good communication skills and ability to work in an international environment.
  * English: B2 or higher.

Pine Software Technology Ltd is a software company specializing in trading technology solutions for regulated brokers and trading firms. We build SaaS products that support electronic trading, brokerage operations, risk management, and financial data analysis. 

The back office is responsible for reconciling balances following traders' transactions and for reporting to clients and regulators. 
‍

We are looking for a Senior Python Engineer who is collaborative, has a product mindset, and is reliable. 

Responsibilities

• Build, ship, and maintain backend features in Python 3.x + Django (incl. DRF) with solid tests (pytest).
• Design and optimize PostgreSQL schemas/queries; own data migrations and performance tuning. Integrate and maintain external services (payments, email, auth, storage), with secure, idempotent APIs.
• Implement background jobs with Celery/Redis, monitoring, and alerting.
• Contribute to code reviews, CI/CD, and engineering standards (linting, typing, docs).
• Diagnose production issues end-to-end (logs, metrics, traces) and drive root-cause fixes.

‍

Requirements

• 5+ years of experience as a Python Engineer and 3+years of experience with Django.
• Python 3.10+; Django 3.2/4.x; DRF; PostgreSQL (indexes, transactions, locking).
• Celery + Redis (tasks, retries, schedules).
• Testing culture (pytest, factory_boy, fixtures, coverage) and type hints (mypy/pyright).
• REST API design (versioning, pagination, error contracts, idempotency).
• Docker, basic Linux, and CI/CD (GitHub Actions/GitLab CI).
• Observability: structured logging, metrics, basic tracing; using Sentry/Prometheus/Grafana.
• Security basics: OWASP Top 10, secrets management, least privilege.

‍

Nice to have 

• Caching & messaging: Redis patterns, RabbitMQ/Kafka basics.
• Async APIs (FastAPI), GraphQL, websockets.
• Infra: AWS (ECS/EKS/Lambda, RDS, S3, CloudWatch), Terraform.
• Frontend fluency for Django templates or simple React/TypeScript components.
• Performance profiling (cProfile, PySpy), feature flags, i18n.
• Security hardening (CSP, rate limiting, audit trails).

‍

What We Offer

‍

• Work-Life Balance — 25 days of paid vacation + 30 days of paid sick leave.
• Care from Day One — medical insurance from your first day, including dental care, massage, and professional psychological support.
• Knowledge Library — office books and access to the Kuka online library.
• Investment in Your Energy — partial reimbursement for sports and fitness activities.
• Growth & Learning — coverage for English or Ukrainian language courses and a dedicated professional development budget.
• Island Relaxation — up to 14 days per year at the company villa in Cyprus.

‍

Join the Pine Software team, where your talents and aspirations will be recognized! We offer a dynamic work environment, opportunities for professional growth, and support at every step of your career path. Start your journey to success with us—apply today and take the first step towards your bright future!

‍

Pine Software is an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences. Please note, that only shortlisted candidates will be contacted. Thank you for considering Pine as your next career move!

About ChatRevenue.ai 

ChatRevenue.ai was founded by Ratmir Timashev (founder of Veeam) and Vlad Voskresensky (founder of Revenue Grid) to create the next generation of CRM systems.  

We’re building an AI-native CRM platform that completely redefines how sales automation works.  
By structuring data for intelligent automation, we enable agentic AI to design workflows, assist Sales Leaders and Reps in real time, and generate predictable sales funnels – all through a simple, chat-driven interface.  

Our mission: to build a CRM that works for User, not the other way around. 

About the role 

We are looking for a Principal Backend Engineer with strong Python experience and a proven track record of building and owning production backend systems. 

This is a hands-on engineering role focused on: 

• Python backend 
• FastAPI 
• Data-heavy systems 
• AI / LLM product features 
• System architecture and scalability 

We are looking for someone who can take ownership of a backend domain, make technical decisions, and build reliable systems from idea to production. 

What you will do 

• Design, build, deploy, and maintain core backend services using Python and FastAPI 
• Own backend architecture, data flows, and technical decisions in your domain 
  Build and scale data-intensive systems, integrations, and pipelines 
• Work on AI / LLM-driven product features together with the engineering team 
• Improve system performance, scalability, reliability, and observability 
• Contribute to engineering practices: testing, CI/CD, security, and code quality 
• Work closely with product and engineering to deliver high-impact features 

What we are looking for 

• 7+ years of hands-on backend development experience 
• Strong commercial experience with Python in production 
• Python should be your primary backend language 
• Strong experience with FastAPI, APIs, Docker, Git, and CI/CD 
• Experience owning backend systems end-to-end: architecture, performance, data, reliability 
• Strong knowledge of PostgreSQL and data-heavy systems  
• Experience building distributed, scalable, or high-load systems 
• Good understanding of system design and performance optimization 
• Ability to work with ambiguity and take ownership without micromanagement 
• High ownership, independence, and product mindset 

Nice to have 

• Experience integrating LLMs / AI into backend systems 
• Experience with RAG, embeddings, vector databases, or AI assistants 
• Experience with Kafka, Azure Event Hub, or other event-driven systems 
• Experience with Kubernetes and cloud infrastructure, especially Azure 
• Experience building ETL / ELT pipelines 
• Experience working with structured and unstructured data 
• Production observability, tracing, monitoring, and optimization experience 

This role is likely a strong match for people who 

• Enjoy owning backend systems end-to-end, not just implementing isolated tasks 
• Feel strongest in Python as their main backend language 
• Have worked on production systems where reliability, performance, and scale matter 
• Want to have direct influence on technical decisions and architecture 
• Are comfortable working in an early-stage, high-ownership environment 

What we offer 

• Remote-first setup 
• Flexible schedule aligned with European time zones 
• A core engineering role in an AI-native product 
• Direct influence on technical decisions and architecture 
• Real ownership and visible product impact 
• Opportunity to grow into technical leadership / domain ownership 

If you have strong Python backend fundamentals, experience owning production systems, and interest in AI-native products, we’d love to talk. 

MINT is the leader in Advertising Resource Management (ARM) software, driving marketing transformation in the age of agentic AI. At the core of our innovation is an open enterprise platform that deploys autonomous AI agents to augment human teams across the marketing and advertising value chain, connecting marketing performance with enterprise growth and real business impact.

Thanks to a diverse team of over 300 professionals worldwide, we integrate technology, data, and agentic intelligence to redefine how global brands and agencies plan, execute, and optimize their advertising investments.

With the recent acquisitions of technology leaders Redmill Solutions and info³, MINT has further expanded its unified ecosystem, completing the long-awaited connection of media planning, buying, and execution within one intelligent environment.

Augmenting Advertising Intelligence. For more information, visit mint.ai.

The Role

We are looking for a skilled API Developer to collaborate with us on a consultancy basis.

In this role, you will craft and maintain the backbone of software interactions.

This is a consultancy engagement, not an employment contract. The selected consultant will work independently, bringing their specialized knowledge and experience to our projects.

Responsibilities

• Development of components and applications in Python / FastAPI / Django;
• Maintenance of existing applications;
• Tasks estimation;
• Writing unit tests;
• Writing technical documentation and reports;

This role will be a great fit if you have:

• 3+ years of experience with Python;
• Experience with Django;
• Experience with FastAPI;
• Experience with AsyncIO;
• Experience with Celery;
• Knowledge of Kafka;
• Knowledge of SQL and NoSQL databases;
• Knowledge of Docker;
• Understanding of the HTTP protocol and RESTful APIs;
• Command of Linux/UNIX environment (shell, scripting, tools);
• Passione for Testing (Unit and Integration Testing);
• Good English proficiency

Ideally, you'll also have:

• Experience with the DDD approach and Hexagonal Architecture;
• Experience with microservices;
• Experience with integrating third-party services;
• Knowledge of Go/Scala/JS

Interview Process

Candidates can expect the following steps in our interview process:

• HR Video Interview (30 minutes): A virtual interview with HR to provide an overview of the company and the role, as well as to gain insight into your experience and background.
• Technical Interview with Tech team (1 hour): A virtual interview with the API Developer Team Lead and/or other Team members, focused on your technical expertise, past experience, and problem-solving approach.
• Offer: after completing the interview process, successful candidates will receive an offer.

Typical base salary pay range:

MINT is committed to a diverse and inclusive workplace. MINT AI is an equal opportunity employer and does not discriminate on the basis of age, race, religion, color, national origin, gender, gender identity, gender expression, sexual orientation, immigration status, medical condition, protected veteran status, disability, genetic information, political views or activity, or other legally protected status.

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 production-ready conversational AI systems for B2B software platforms. We partner with software companies in the US and UK to build AI agents, copilots, voice interfaces, and conversational layers that integrate directly into their products. Our team focuses on complex AI engineering - building reliable, scalable systems that work with real users, workflows, and product infrastructure. We combine deep AI expertise with strong product thinking to help companies move from AI prototypes to production-ready systems they can own and scale.

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 → Technical interview→ 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 👋

Your Mission

Design, develop, and deploy AI agents that automate complex business processes.
 

You will build intelligent systems capable of understanding business context, interacting with enterprise software, making decisions, communicating with users, and executing tasks autonomously.

Your work will directly impact how companies operate by replacing repetitive manual work with AI-driven automation.

What You'll Do:

Build AI Agents

• Design and develop autonomous AI agents
• Build multi-agent systems
• Create reusable agent architectures
• Implement reasoning and planning workflows
• Build conversational AI assistants
• Develop industry-specific AI solutions
   

Automate Business Processes

Create AI agents for areas such as:

• Sales
• Customer Support
• Finance
• Procurement
• HR
• Project Management
• Operations
• Healthcare
• Manufacturing
• Logistics

Integrate Enterprise Systems

Connect AI agents with:

• CRM systems, ERP platforms
• 1C
• Google Workspace
• Slack, Telegram
• Jira
• HubSpot, Salesforce
• SAP, Dynamics 365
• Internal APIs
• Databases
   

Required Qualifications

Must Have

• 3+ years of software engineering experience
• Strong Python development skills
• LangChain / LangGraph
• Vector databases
• Experience building production AI-powered applications
• Experience working with LLM APIs (OpenAI, Anthropic, Gemini, or Azure OpenAI)
• Prompt engineering experience
• REST API development, PostgreSQL
• Strong problem-solving skills
• Upper- intermediate English (verbal) skills
   

Nice to Have

• MCP (Model Context Protocol)
• TypeScript, Node.js
• Playwright
• Browser automation
• OCR
• Speech-to-Text
  
  Бенефітна корзинка від нас:
• 🏝️18 working days of paid vacation (annually);
• 🤒Paid sick leaves (annually) 10 days;
• 👌Flexible working schedule;
• 💻Hybrid work (office/home);
• 🐶Pet-friendly office;
• 💃Team buildings and corporate events;
• ✅Accounting services;
• 🥳Vacation on your Birthday — 1 workday.
• 🛡️ можливість бронювання

MiraHub / Talentor Ukraine шукає Middle / Senior Python Developer для компанії-партнера — українського розробника високотехнологічних систем, що працюють у складних умовах, де особливо важливі надійність, точність і стабільність.

Шукаємо сильного Python Backend Developer, який долучиться до впровадження та розвитку Odoo всередині компанії: адаптуватиме систему під бізнес-процеси, розроблятиме backend-логіку, модулі, інтеграції та автоматизації.

Досвід з Odoo буде великою перевагою, але не є обов’язковим, якщо у вас сильний Python/backend background і є готовність розібратися в архітектурі Odoo та ERP-процесах.

Що потрібно буде робити

• Брати участь у впровадженні та адаптації Odoo під внутрішні бізнес-процеси.
• Розробляти, підтримувати та рефакторити backend-логіку на Python.
• Створювати та доопрацьовувати модулі, інтеграції, сервіси та автоматизації.
• Інтегрувати Odoo та інші внутрішні системи із зовнішніми сервісами через REST API, webhooks, XML-RPC / JSON-RPC.
• Працювати з PostgreSQL: аналізувати структуру даних, оптимізувати запити та підтримувати цілісність даних.
• Брати участь у проєктуванні архітектури рішень для автоматизації бізнес-процесів.
• Взаємодіяти з внутрішніми замовниками: розбиратися в бізнес-вимогах і трансформувати їх у технічні рішення.
• Дебажити, підтримувати та рефакторити існуючий код.
• Брати участь у налаштуванні середовищ розробки, тестування та деплою.
• Документувати технічні рішення, інтеграції та логіку роботи систем.

Що важливо

• 3+ роки комерційного досвіду у backend-розробці на Python.
• Впевнене знання Python та практичний досвід розробки backend-систем.
• Досвід роботи з одним або кількома Python-фреймворками: Django, FastAPI, Flask або аналогічними.
• Розуміння принципів побудови backend-сервісів, модульної архітектури та підтримуваного коду.
• Практичний досвід роботи з PostgreSQL або іншими реляційними БД.
• Розуміння ORM, міграцій, моделей даних та зв’язків між сутностями.
• Досвід інтеграцій через REST API, webhooks та інші протоколи обміну даними.
• Навички дебагу, профілювання та оптимізації backend-систем.
• Практичний досвід роботи з Git.
• Базове розуміння Docker та середовищ розробки/деплою.
• Вміння читати бізнес-вимоги та перетворювати їх у технічні задачі.
• Готовність працювати з ERP-системою, бізнес-процесами, обліковими сутностями, ролями та правами доступу.

Буде великим плюсом

• Практичний досвід роботи з Odoo: розробка або кастомізація модулів.
• Розуміння архітектури Odoo: models, views, actions, menus, security rules, access rights.
• Досвід роботи з Odoo ORM.
• Досвід доопрацювання модулів CRM, Sales, Inventory, Manufacturing, Purchase, Accounting, HR або Helpdesk.
• Досвід написання QWeb-звітів або роботи з шаблонами.
• Досвід міграції між версіями Odoo.
• Досвід інтеграції ERP з іншими системами компанії.
• Досвід роботи з Celery, Redis, RabbitMQ або іншими інструментами асинхронної обробки.
• Досвід у великих IT-компаніях або продуктових командах.
• Англійська на рівні, достатньому для роботи з технічною документацією.

Що пропонуємо

• Офіційне працевлаштування та можливість бронювання.
• Конкурентну заробітну плату відповідно до вашої експертизи.
• Роботу в сильній та відповідальній команді.
• Можливість впливати на технічні рішення та реалізовувати власні ідеї.
• Стабільні та довгострокові задачі у компанії, що розвивається.
• Офіс у Києві — сучасний та комфортний робочий простір із власним паркінгом та облаштованим укриттям поруч.
• Графік: понеділок–п’ятниця, 09:00–18:00.

У компанії щиро раді бачити в команді ветеранів та кандидатів із військовим досвідом.

Якщо вам цікаво працювати над технічно складними задачами, розвивати внутрішні системи автоматизації та застосовувати сильний Python/backend досвід у новому для себе домені — будемо раді познайомитися!

Надсилайте резюме — поспілкуємося та обговоримо деталі.

Шукаємо досвідченого Python Backend Engineer, який візьме повністю всю відповідальність за бекенд напрямок в продукті: від того, як віддаються дані, до того, наскільки швидко це відбувається.

Команда

Над мобільним застосунком ЛУН працює окрема продуктова команда: мобільні інженери (iOS, Android), продуктова дизайнерка, Product Manager і Engineering Manager. Ми щойно завершили великий рефакторинг і зараз входимо у фазу активного розвитку продукту: багато нових фіч, багато експериментів, велика аудиторія, на якій ці експерименти реально можна перевіряти.
 

Ти будеш єдиним/-ою backend engineer в цій команді. Ти станеш людиною, яка відповідає за серверну частину застосунку: від того, як віддаються дані, до того, наскільки швидко це відбувається. При цьому бекенд-кодова база в багатьох аспектах спільна з веб-платформою ЛУН, тому поряд є інші досвідчені інженери, з якими є що обговорити. 
 

Над чим ти будеш працювати:

• Розробляти нові фічі під активний потік продуктових експериментів — швидко і якісно
• Доводити до ладу серверну частину після рефакторингу: прибрати тимчасові рішення, і перейти на повноцінний, коректний API
• Поступово переносити частину функціоналу з PHP у Python — це не саппорт легасі, а міграція
• Оптимізовувати швидкість віддачі даних: у нас є амбіція тримати 0,2 секунди на бекенд-запит у 95% випадків, і ця задача досі відкрита
• Розбиратися в природі наших даних: велика кількість таблиць, багато залежностей
• Впливати на архітектурні рішення в межах бекенду: якщо щось влаштовано неправильно, це можна змінювати
• Використовувати AI у щоденній роботі — з інженерним ownership за результат
   

Наш технічний стек

• Backend: Python (FastAPI, Flask), Celery. PHP (Yii) — поступово мігрує в Python
• Databases: PostgreSQL, MySQL, Redis, Elasticsearch
• Queues: RabbitMQ
• Infrastructure: Docker, Kubernetes, AWS — інфраструктуру тримає окрема команда, від тебе цього не очікуємо
   

Що для нас важливо

• 7+ років комерційного досвіду бекенд-розробки, з них значна частина — на Python
• Створення бекенду для мобільних додатків
• Сильний фундамент computer science: структури даних і алгоритми
• Впевнена робота з реляційними базами: складні запити, розуміння того, як влаштовані дані
• Креативне технічне мислення (thinking out of the box)
• Проектування складних та великих архітектур (це допоможе робити краще зміни для поточної архітектури)
• Практика AI у щоденній роботі: розуміння обмежень LLM і вміння контролювати якість того, що вони генерують
• Готовність до уважної роботи та рутини: іноді треба буде уважно розібратися в даних, які створювали не ми, і знайти відповіді. Це не щодня, але це є.
   

Кожному ЛУН-мейту доступні:

• оплачувана відпустка (22 робочих дні на рік)
• оплачувані всі лікарняні, щоб повернутися до роботи повним сил
• оплачувані вихідні на державні свята (11 робочих днів)
• оплачуваний саббатікал після 6-ї річниці роботи в ЛУН та кожні наступні три роки
• тімбілдінги з командою
• корпоративна бібліотека
• персональні ЛУН-знижки на спорт, догляд за здоров'ям, книги
• оплачувані AI-сервіси та інші робочі інструменти
• 1:1 з People Partner
• необхідна техніка для роботи
   

Декілька слів про внутрішню культуру ЛУН:

• у нас немає мікроменеджменту та тайм-трекерів — довіра в команді перш за все
• цінуємо work-life balance, працюємо без жорстких дедлайнів та овертаймів
• працюємо невеликими командами, де кожен має вплив на технології та продукт без зайвої бюрократії
• любимо ітеративний підхід
• автоматизуємо рутинні процеси, щоб збільшити простір для креативу
• кожні пів року проводимо performance review