Jobs Python

Department/Project Description

Our Client is the leader of the US Broadcasting Market and one of the biggest companies on that is providing Broadcasting Media Entertainment to users on OTT.

Job Description

• 3+ years of experience in Python
• 3+ years of hands-on experience with automation systems
• 1+ years of experience in some web framework (Fast API + React)
• Database development (MySQL, PostgreSQL, SQLAlchemy, Alembic, etc)
• Has exceptional skills in problem-solving and technical troubleshooting skills

• Not limited to other tools experience, but we require desire and ability to learn new tools:

  CI/CD pipelines on both GitLab and Jenkins
  Observability (Grafana, Prometheus, Otel, etc)
  Automation Framework (pytest/unittest, playwright/cypress/selenium)
  Server administration (Linux, SSH, Docker, Kubernetes, etc)
  Cloud services (AWS, GCP, Azure)
  AI tooling in day-to-day work to boost self-productivity (IDE assistants)
  AI tools implementation, integration into existing services to boost user's productivity (Embedding, Vector Database, LangChain, etc)

Job Responsibilities

• Build innovative features for next generation tracking solution
• Determine the strategic tactical direction of the front-end architecture
• Participate in development process, including scoping, technical design, estimation effort, coding, testing, debugging, code reviews, maintenance and support
• Collaborate with program managers, marketing, designers, software engineers in tests to build and enhance the UI
  Innovate and create the best user experience online

Project focus:

Data Products MCP (Cortex) + Agent.

Must Have:

- Strong Python backend development experience

- Prompt Engineering

- Agentic AI setup, preferably LangChain

- Experience with Agent Skills and Tools

- SQL

- Snowflake

- Cortex Analyst

- Text-to-SQL / Intent-to-SQL.

Nice to Have:

- DeepEval

- MLflow instrumentation

- Cost and performance tuning

- Experience with metrics cache and pre-aggregation

- DataOps / Data Platform background

- Understanding of semantic-layer architecture

- Pharma Commercial experience.

We’re expanding our team and looking for a Django/DRF Developer to join Dataforest. If you’re looking for a friendly team, a healthy working environment, and a flexible schedule — you’ve found the right place to send your CV.

You'll be a great fit if you have:

- 3+ years of experience with Django and it's components;

- Experience with RESTful APIs, DRF and related libraries;

- Experience with Celery and async task management;

- Experience with SQL and query optimisation;

- Experience of writing tests;

- Able to work independently and excellent in communicating challenges and issues;
 

Would be a plus:

- Experience with AWS services (EC2, API Gateways, Lambda, SQS);

- Experience with NoSQL databases (Redis, Elasticsearch, etc.);

- Experience of end-to-end implementation for new functionality;

- Experience with payment systems integrations (Stripe, Shopify, Recurly, Paypal, Braintree, etc.);

- Experience with chargeback management tools (Ethoca, RDR, CDRN, etc.);

- Understanding how to handle high load on projects;
 

What you'll do:

- Design, develop and maintain payment gateway and other integrations;

- Design and develop new features and maintain existing functionality.

- Design and develop web applications using Python/Django/Celery.

- Design, develop and maintain RESTful APIs using Django Rest Framework (DRF).

- Write clean and well-structured code that is easy to read and maintain;

- Write and maintain technical documentation.

- Write and maintain unit tests to ensure code quality.

- Optimize and maintain the security, performance, and usability of the applications.

- Collaborate with the PM/Frontend/DevOps/QA and others team members.

We ensure your growth with:

- Great networking opportunities with international clients, challenging tasks;

- 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.

Overview:

The Growth Platform Team at Raisin is a cross-functional team enabling Marketing and product teams to scale growth initiatives across web and mobile. The team owns core growth capabilities such as marketing integrations, user tracking, experimentation, bonus management, and attribution models, providing reliable services and data foundations that power growth across markets.

 

As part of this team, you’ll work on complex integrations and data-heavy systems, collaborating closely with Marketing and B2C stakeholders. The Growth Platform Team is responsible for the underlying services, data pipelines, and integrations that make growth measurable and scalable. If you enjoy building platform foundations with clear business impact, this team offers a high-impact and highly collaborative environment.

Your Responsibilities:

• Own and deliver features and bug fixes end-to-end following our SDLC process.
• Utilize AI tools intensively to increase our ability and pace to deliver software.
• Follow best practices around our core stack.
• Contribute to improving how we program, test, review, and ship code.
• Flag process gaps and propose pragmatic improvements.
• Provide constructive code review and solve complex problems together.
• Quickly build practical depth in Growth Platform Team domains.
• Contribute meaningfully to new feature design and implementation.
• Collaborate with Product, Tech Lead, frontend, and data colleagues on contracts and acceptance criteria.

Your Profile:

• Degree in Computer Science, Software Engineering, or equivalent practical experience, with 3 to 5 years of professional backend engineering experience.
• Strong production experience in Python, with hands-on expertise in FastAPI (or equivalent frameworks like Flask/Django REST) and relational databases like MySQL (using SQLAlchemy or similar ORM).
• Demonstrated experience building and running resilient REST APIs and

complex business/financial logic.

• Hands-on experience developing logic for user eligibility, marketing attribution, or automated payout/commission rules is a strong plus.
• Comfortable making reviewed UI updates in TypeScript / React / Next.js
• Practical familiarity with AWS core services (ECS, S3, Secrets Manager) and standard engineering tooling (Git, CI/CD, pytest, Jira, Scrum).
• Strong collaborative approach, fluent in English, and comfortable operating as an Individual Contributor focused on execution.

Nice to Have:

• Experience with Docker, Terraform, Kafka, or feature flag management.
• Experience with Content Management Systems (e.g., Contentstack) or prior fintech/marketplace background.
• German language skills.

Job Summary
As a Software Engineer, you will analyze and evaluate AI-generated code and technical solutions. You will identify issues, assess the quality of AI responses, finding mistakes, and uncovering reasoning gaps.

We are looking for candidates with a background in IT projects outside the gaming, gambling, and primary focus on cryptocurrency industries. 

Responsibilities

• Evaluate AI-generated code, technical solutions, and engineering approaches.
• Identify bugs, incorrect assumptions, architectural issues, and weak reasoning in AI responses.
• Test and evaluate agentic coding models designed to perform complex engineering tasks at a senior developer level.
• Compare AI-generated solutions against senior engineering standards and best practices.

Requirements

• 3–8 years of commercial experience in Backend Development.
• Strong experience with at least one backend technology: Python (FastAPI/Django or similar) or .NET.
• Strong knowledge of REST APIs and backend development.
• Experience with PostgreSQL or other databases.
• Experience working with existing codebases and unfamiliar repositories.
• Experience with Docker and CI/CD.
• Familiarity with cloud technologies such as AWS, Azure, or GCP.
• Upper-Intermediate English (B2).

Bonus Points

• Experience with AI/LLM tools or integrations.
• Experience with C#.

This is not a traditional software development role. You will use your engineering expertise to analyze AI outputs, find issues in their solutions, and help train better AI systems.

Job Summary
As a Software Engineer, you will review AI-generated code and compare it with how you would write the solution yourself. Your role will focus on reviewing AI-generated solutions, finding mistakes, and uncovering reasoning gaps.

We’re looking for a full-time team member who is interested in growing with the team and contributing to long-term projects.

Responsibilities

• Evaluate AI-generated code, technical solutions, and engineering approaches.
• Identify bugs, incorrect assumptions, architectural issues, and weak reasoning in AI responses.
• Test and evaluate agentic coding models designed to perform complex engineering tasks at a senior developer level.

• Compare AI-generated solutions against senior engineering standards and best practices.

   

Requirements

• 3-5 years of commercial experience as a Fullstack Developer/Software Developer.
• Strong Python (FastAPI/Django).
• Frontend: React, TypeScript
• Experience working with databases such as PostgreSQL/NoSQL or similar tools.
• Use AI tools (AI agents, Claude Code, Cursor, Codex or similar) in daily workflow.
• Experience working with existing codebases and unfamiliar repositories.
• Understanding of modern frontend tools: Vite, Tailwind CSS, Chart.js, and React Hooks. 
• Familiarity with Docker and CI/CD (GitHub Actions).

• Upper-Intermediate English (B2).

   

Bonus points:

• AI/LLM integration experience.
• Knowledge of Machine Learning concepts and algorithms.

This is not a traditional software development role. You will use your engineering expertise to analyze AI outputs, find issues in their solutions, and help train better AI systems.

You will join one of two AI initiatives: ChatCPI, an LLM-powered assistant for intelligent search and question answering over large technical documentation, or a Knowledge Graph Platform focused on structuring and connecting enterprise information for AI-driven use cases.

Customer

Our Customer is a leading Swedish telecommunications company recognized for delivering innovative large-scale technology solutions across complex infrastructure environments. The company operates internationally, serving millions of users and working with global technology leaders to drive digital transformation in the telecommunications industry.

Project

You will join one of two AI initiatives: ChatCPI, an LLM-powered assistant for intelligent search and question answering over large technical documentation, or a Knowledge Graph Platform focused on structuring and connecting enterprise information for AI-driven use cases.

Technologies: Python, LLMs, RAG, vector embeddings, hybrid search, knowledge graphs.

Requirements

• 3+ years of commercial software development experience
• 2+ years of experience working on AI/ML projects
• Good Python skills with hands-on implementation experience
• Practical experience with LLMs and modern AI technologies
• Practical experience with RAG architecture, vector embeddings, and hybrid search
• Experience with information processing aimed at improving AI quality, including data preparation, chunking, metadata enrichment, and relevance tuning
• Ability to work independently and take ownership of tasks from design through deployment
• Upper-Intermediate English

WILL BE A PLUS

• Experience with knowledge graphs or graph databases
• Background in the telecommunications domain

Responsibilities

• Design and implement LLM-based features and RAG pipelines from data ingestion to answer generation
• Build and optimize retrieval using vector embeddings and hybrid semantic and keyword search
• Process, clean, and structure source information to improve the accuracy and relevance of AI-generated output
• Evaluate model quality, experiment with new approaches, and bring proven solutions into production
• Work closely with the team to integrate AI components into the wider platform
• Own changes end-to-end, including design, implementation, testing, and deployment
• Work independently while proactively communicating blockers, scope questions, and technical trade-offs

Work directly with a CTO who has 20+ years of building systems, on a product that is getting ready for launch. The LLM is at the core of it, the backend team is small, and your code goes into the first release.

We are hiring a Python backend engineer into our client's product team. Reviews here are detailed: you defend your decisions line by line and get feedback from someone who has seen most of the ways a system can fail. That is how you grow fast. The CTO also expects to hear "this is a bad idea" when it is one, with an argument behind it.

Use AI as much as you like. You own every line, whoever wrote it. You get a task and bring it back done: questions at the start, blockers raised the same day.

What you will do

• Own backend tasks from spec to production: API, data model, background jobs, integrations
• Build the layer around the LLM: checking model output, handling failures, quality tests
• Improve service stability before launch

What we need

• 4+ years of commercial development, Python as your main language. The framework is secondary
• You know how systems are put together: data structures and complexity, concurrency, queues, caches, transactions, indexes
• English Upper-Intermediate or higher: daily calls and written communication with the CTO
• Ukrainian or Russian for communication inside our team
• Nice to have: LLMs in production, asyncio, type hints and tests as a habit

Hiring process

1. We read your CV. If we have questions, we ask them in writing
2. Take-home task, AI allowed
3. Interview with our tech lead about your solution
4. Introduction to the client: interview with the CTO in English
5. After that the client will most likely give a take-home of their own, similar to ours. We go through it with our tech lead before you submit, and you defend it with the CTO at the final meeting

Terms

• You are employed by Tailored Tech and work inside the client's team. Full-time, fully remote, UA/EU time zone
• Paid probation, review of terms after it, then every six months
• Paid vacation and sick leave, AI subscriptions covered

To apply, send your CV and a few lines about the system you designed that you are most proud of.

We are looking for a strong Python Backend Developer who wants to join us at an early stage and become part of building a real technology company.

English B1 is required, as English is the main language of communication within our international team.
You will not be joining the project alone — our development team already includes three Python Developers, one Senior Python Developer, one Frontend Developer. You will work closely with them, share technical decisions, and help us continue building and improving the product together.
 

What We Are Looking For

• Strong practical experience with Python backend development
• Experience with vector databases / graph databases / knowledge graphs
• Practical experience integrating AI / LLM / ML solutions into real products
• Good understanding of backend architecture, APIs, databases, and data processing
• English B1

What We Offer

• Full remote work
• Flexible schedule
• Opportunity to join an active startup at an early stage
• Real influence on product architecture and technical decisions
• Small team without unnecessary bureaucracy
• Direct impact on the future of the company
• Opportunity to receive company equity

Important

We are looking not just for a developer, but for an engineer who has already worked with AI and modern data technologies in practice.

When applying, please include examples of real projects where you worked with Python backend development, AI integrations, vector or graph databases, knowledge graphs, RAG, or other data-intensive systems.

We are especially interested in what you personally built and what technical problems you solved.

We are looking for a Strong Middle / Senior Python Engineer for a 3-month contract, with a possible extension, to build a verifiable proof module for a humanitarian transparency platform. You will deliver a self-contained backend module that turns delivery attestations into immutable, signed data bundles and reliably exchanges them with an external anchoring service.


🧙‍♂️In This Role You Will

• Build a standalone Django app behind a feature flag, with its own models, migrations, Celery tasks, and routes.
• Implement idempotent, transactional review workflows (verify / withhold / reject / amend) with strict data validation.
• Produce canonical, hashed, and signed data bundles (JSON canonicalization, SHA-256) that conform byte-exactly to agreed test vectors.
• Design reliable outbound delivery using a transactional outbox, Celery workers/beat, retries, and replay.
• Implement signed webhooks (HMAC-SHA256, Standard Webhooks) and runtime secret rotation without redeployment.
• Build machine-to-machine APIs for bundle retrieval, anchor write-back, and public key publication.
• Migrate free-text location data to the official administrative territorial registry (KATOTTG) with versioning.
• Set up a staging harness with synthetic fixtures and run end-to-end dry runs with the integration partner.
• Cover the module with tests, contract conformance checks, and security hardening, and document your work.
  
   

🎯 You May Be Interested If

• You like well-scoped, high-impact work with a clear deadline and a production release at the end.
• You care about correctness, data integrity, and security, not just "it works".
• You're comfortable working autonomously and communicating clearly with an external integration partner.
• You enjoy a small, remote, supportive team.
  
   

🍰 Role Requirements

• 3+ years of backend development with Python and Django.
• Hands-on experience with Celery (workers, beat, retries) and asynchronous/background processing.
• Solid understanding of idempotency, database transactions, and reliable delivery patterns (e.g. transactional outbox).
• Experience designing REST APIs and machine-to-machine integrations, including webhooks and request signing (HMAC).
• Practical knowledge of applied cryptography basics: hashing, digital signatures, secrets and key rotation.
• Strong PostgreSQL skills, including schema design and data migrations.
• Docker-based development, Git, and basic Bash.
• Experience with a cloud platform (Azure, AWS, or GCP).
• English at B1 or higher.
   

Nice to have:

• Familiarity with RFC 8785 (JSON Canonicalization Scheme) or the Standard Webhooks specification.
• Experience with administrative/geographic code registries (e.g. KATOTTG, ISO 3166-2).
• Experience with secret stores / key management services (e.g. Azure Key Vault, AWS KMS, HashiCorp Vault).
  
   

💻 Working Conditions

• Contract: 3 months, full-time load, with possible extension.
• This is a fully remote position with the entire team across Ukraine.
• Flexible working hours; the team agrees deadlines together, with a focus on delivering commitments on time.

Company Description

Our customer is a leading Swedish telecommunications company, recognized for delivering innovative large-scale technology solutions across complex infrastructure environments. Sweden’s telecom sector is known for its advanced networks, high-speed connectivity, and pioneering role in 5G development. The company operates internationally, serving millions of users and partnering with global technology leaders to drive digital transformation.

Job Description

You will join one of two AI initiatives: ChatCPI, an LLM-powered assistant for intelligent search and question answering over large technical documentation, or a Knowledge Graph Platform focused on structuring and connecting enterprise information for AI-driven use cases.

What you will do

• Design and implement LLM-based features and RAG pipelines, from data ingestion to answer generation
• Build and optimize retrieval using vector embeddings and hybrid (semantic + keyword) search
• Process, clean and structure source information to improve the accuracy and relevance of AI output
• Evaluate model quality, experiment with new approaches and bring proven solutions into production

• Work closely with the team to integrate AI components into the wider platform 

   

What we expect

• 3+ years of experience on AI/ML projects
• Strong Python skills and hands-on implementation experience
• Solid understanding of the modern AI stack, LLMs and current industry developments
• Practical experience with RAG architecture, vector embeddings and hybrid search

• Experience with information processing aimed at improving AI quality (data preparation, chunking, metadata enrichment, relevance tuning)

   

Ways of working

• Comfortable owning a change end-to-end: design, implement, test, and deploy.
• Can work independently but communicates proactively when blocked or when scope/tradeoffs need a decision
• Experience working in an Agile team will be considered a plus

• Soft skills: since this is a fully remote position, we expect a highly proactive attitude - showing results, actively participating in all initiatives, etc

   

Nice to have

• Experience with knowledge graphs or graph databases
• Background in the telecom domain

We're looking for an AI & Data Engineer to build the data and AI backbone of a livestream shopping and social marketplace platform for the Middle East - one that combines real-time auctions and social engagement into a single automated, data-driven product.

The audience pipelines, personalization logic and AI agents for this platform don't exist yet. You build them from scratch and own how they run in production.

What you'll do

Growth Data Activation (MarTech)

• Build automated audience pipelines from the warehouse into marketing platforms - Meta CAPI, Google Ads, Braze, Customer.io, WhatsApp API.

Lifecycle Automation & Personalization

• Design behavior-based triggers (cart abandonment, livestream reminders) and ranking/recommendation logic for products and live shows.

Practical AI Integration

• Deploy production-ready LLM workflows and AI agents for operational needs - seller onboarding, content moderation, automated customer support - with proper cost and evaluation guardrails.

Who we're looking for

Must have:

• 3-4 years of experience in Data Engineering, Software Engineering, or Data Architecture.
• Strong, production-grade Python and SQL.
• Proven experience building OLAP data warehouses (ClickHouse, BigQuery, Snowflake, Redshift etc)
• Experience with event tracking and identity resolution - Segment, RudderStack, PostHog.
• Practical experience integrating LLMs/RAG into real production systems - not just prompts or demos.

Overview: Algoseek is seeking a proactive, technically adept Algorithmic Support Engineer to provide first-line support to our institutional clients for our intraday market data feeds for quantitative and algorithmic trading data systems. This role bridges finance, market data and technology — requiring both hands-on technical troubleshooting and a deep understanding of trading concepts, market data, and systematic strategies.

This position serves as an entry point into Algoseek, offering strong performers a pathway to grow into development, data, or quantitative analysis roles.

Role Details:

• Location: 100% Remote (Global Team)
• Job Type: Full-time
• Compensation: Competitive with bonuses and education/technical allowance

Responsibilities:

• Provide responsive technical and functional support for Algoseek’s market data clients using real-time intraday datasets.
• Diagnose and resolve incidents related to market data feeds, APIs, and algorithmic trading infrastructure.
• Communicate complex issues clearly to both technical and non-technical users.
• Collaborate closely with developers, data engineers, and product leads to escalate and troubleshoot system issues.
• Analyze  reported data anomalies and communicate with client.
• Maintain accurate documentation of support procedures, recurring issues, and resolution steps.
• Identify improvement areas and propose automation or analytics-driven enhancements to support operations.

Essential Requirements:

• Strong grasp of systematic, algorithmic, and quantitative trading workflows (ideally intraday).
• Knowledge of US equities, options, or futures markets OR experience with cryptocurrencies / digital assets trading environments.
• Hands-on technical ability: scripting in Python, familiarity with SQL / data analysis.
• Excellent English communication skills, written and spoken.
• Analytical mindset; strong problem-solving and troubleshooting ability.
• Demonstrated curiosity and motivation to learn — this role suits those aiming to move beyond support into deeper technical or quantitative tracks.

Desirable Requirements:

• Experience supporting trading systems, data platforms, or market data vendors.
• Exposure to FIX protocol, market data APIs, or cloud environments (AWS preferred).
• Bachelor’s degree in Computer Science, Engineering, Finance, or a related field.

Work Hours:

• 100% Remote
• Overlap required with US EST morning hours (typically 9 AM – 2 PM EST)

What Success Looks Like

• Accurately resolves 90% of first-level support tickets without escalation.
• Demonstrates consistent improvement in understanding client trading workflows.
• Proactively proposes or implements process improvements that enhance system reliability and client satisfaction.

Why Join Algoseek?

• Work with a leading provider of high-quality market data and trading solutions.
• Collaborate with world-class engineers, researchers, and financial experts.
• Drive innovation in automated trading systems and distributed market data solutions.
• Be part of a remote-first, globally distributed team with a culture of ownership and excellence.

What We Offer:

• Competitive monthly compensation aligned with experience and responsibilities.
• A 100% remote work setup with flexibility for work-life balance.
• An opportunity to contribute to the growth of an innovative, fast-paced market data company.
• Professional development opportunities to help you grow into higher leadership roles.

If you’re a skilled finance professional ready to take the next step in your career, we’d love to hear from you!

We’re hiring a Python Developer who actively uses AI coding assistants (Cursor, Claude Code) as part of their daily workflow. You'll be working on a complex FastAPI backend powering a consumer-facing geospatial platform - supporting integrations, data processing, and fulfilment orchestration. 
 

Responsibilities: 

• Maintain and evolve a FastAPI backend with multiple API routes, database models, and external service integrations 
• Implement features and resolve bugs using AI coding tools as your primary workflow 
• Work with geospatial data — ship tracking (AIS), route processing, coordinate transformations 
• Support and extend integrations with Stripe, Shopify, Supabase Auth, print fulfilment APIs 
• Navigate and improve an existing codebase — architecture, dependencies, tech debt 
• Write and maintain tests (pytest), follow TDD: write tests first, validate failure, implement, verify 
• Maintain per-feature documentation (MD files) 
• Ship fast, iterate, communicate blockers 

Requirements: 

• 3+ years of production Python experience (FastAPI or similar async frameworks) 
• Strong SQLAlchemy / PostgreSQL skills (complex queries, ORM patterns, performance) 
• Experience integrating third-party APIs (payment, e-commerce, webhooks) 
• Mandatory: daily working experience with Claude Code, Cursor, or similar AI coding tools 
• Mandatory: demonstrated ability to leverage AI effectively — prompt engineering, reviewing AI output, steering implementations toward production quality 
• Comfortable with AWS (ECS, RDS, S3, Secrets Manager — or equivalent cloud) 
• Strong debugging skills — catch and correct AI-generated mistakes 
• Self-driven, proactive, and responsible 
• English: working proficiency (async team communication) 

Nice to Have: 

• Geospatial/GIS experience (Shapely, GDAL/Fiona, GeoJSON) 
• Experience with Shopify API or Stripe integration 
• Familiarity with Terraform and infrastructure-as-code 
• Docker and container orchestration (ECS Fargate) 
• Understanding of multi-agent AI systems 

Recruitment Process: 

1. HR Interview 
2. Tech&Final Interviews 
3. Job Offer 

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.) 

If you have any questions or need clarifications, feel free to reach out to our Talent Hunter Team by email. 

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.