Jobs Python

About Us

We are a fast-growing group of companies operating in the iGaming and high-risk sectors. We work at the intersection of iGaming, crypto, and payment solutions, building scalable and high-impact products. We are активно expanding our project portfolio and entering new GEOs. For us, speed, flexibility, and continuous growth—both in our products and our team—are ключевые принципы.

We are currently looking for a strong Python Developer to join and strengthen our team!

What You’ll Be Doing

• Driving architectural decisions and setting the technical direction
• Designing and developing scalable, high-load Python services
• Participating in technical solution design: decomposition, estimation, risk analysis, and implementation approaches
• Ensuring development quality: code reviews, architecture reviews, and maintaining technical standards
• Evolving engineering practices within the team: testing, documentation, release processes
• Improving service stability and performance in collaboration with DevOps and QA
• Supporting and enhancing CI/CD processes
• Mentoring engineers: supporting growth, providing technical guidance, sharing knowledge
• Participating in hiring: candidate evaluation, interviews, and final recommendations
• Solving complex technical challenges and addressing systemic issues across projects

What We Expect From You

• 6+ years of commercial Python development experience
• A hands-on leadership mindset with active involvement in coding
• Strong expertise with web frameworks such as FastAPI and SQLAlchemy
• Experience designing and building scalable, high-load systems
• Hands-on experience with Docker and Kubernetes
• Experience with both relational and NoSQL databases
• Deep understanding of PostgreSQL, including MVCC, indexing, and locking mechanisms
• Experience with asynchronous programming and multithreading
• Ability to write clean, maintainable, and high-performance code
• Strong knowledge of architectural principles: Clean Architecture, Hexagonal Architecture, DDD, SOLID
• Ability to define and enforce technical standards within a team

What We Offer

• Fully remote work from anywhere in the world
• Flexible start of the workday and a convenient schedule
• Competitive salary pegged to USD
• All necessary equipment provided
• Sick days / days off and sick leave compensation from day one
• Paid vacation (20 working days)
• Valuable experience in one of the most skilled iGaming teams
• Learning and growth opportunities across all areas of the company
• Friendly communication culture, strong product, and transparent processes

What you will do

• Take full ownership of planning and delivering platform roadmap items
• Lead the backend engineers + QA engineers in the team, organize day-to-day work and ensure predictable delivery
• Plan work for the next quarter and contribute to high-level multi-quarter planning together with Director of Engineering
• Improve delivery accuracy, reduce delays, and manage risks early
• Design and develop scalable high-load backend solutions used across the company
• Optimize data flows, performance, and system reliability
• Drive modernization of legacy services, architecture improvements and technical debt reduction
• Collaborate with product owners, solution architects and other teams on priorities and alignment
• Ensure proper documentation, visibility and knowledge sharing inside the team

About you

• 7+ years of backend engineering experience including distributed systems design
• 3+ years in a role with technical leadership responsibilities (team leader, senior leading others, etc.)
• Experience with planning, estimation and delivering complex projects
• Strong understanding of performance optimization and scalability principles
• Confident in owning decisions with business impact
• Able to work under high delivery pressure and manage trade-offs

• Excellent communication skills in English (B2)

   

Success will look like:

• Quarterly plans are stable and delivered close to commitments
• Risk management is proactive, not reactive
• Architecture supports scale, performance and future product goals
• Team productivity and predictability improved over the previous year

Type of employment: directly to the client.

We are looking for a Python AI Developer to build and scale AI-powered solutions for real-world use cases. This is a hands-on role focused on developing agentic systems, RAG pipelines, and production-grade LLM integrations.

Part-time during the first month

Requirements

• 4+ years of development experience with Python
• Experience building real AI applications 
• Experience with LLM APIs (Claude, OpenAI, etc.)
• Understanding of RAG and AI workflows
• Experience with APIs and integrations
• Basics of prompt engineering
• Good communication skills
• Comfortable working in a fast-paced environment

Nice to have

• Experience with LLM frameworks (LangChain, LlamaIndex, etc.)
• Experience working with clients or enterprise systems

Responsibilities

• Build AI features using LLMs (Claude, etc.)
• Work with RAG pipelines
• Create AI agents / workflows
• Integrate AI into products via APIs
• Collaborate with team and clients

About us

Syndicode is a value-driven software development partner with a globally distributed team of engineers, designers, architects and IT managers. We are united by the mission to provide our clients with software products and services that perform, look, and work as designed. 

We believe that our people and culture make Syndicode’s success continuous. Our team is unified by shared principles like: Accountability, Involvement, Excellence, Visibility, Integrity, Innovation, Win-Win, Flexibility. Syndicoders are professionals who pursue self-improvement through continual learning, are eager to introduce improvements to work processes, and are able to analyze a variety of sources to make sound and timely decisions.

If it sounds like you, apply to our jobs and become a new Syndicoder!

 
About the project

Our team is building an internal tool for a major construction company to help their teams design and evaluate complex layouts while accounting for real-world constraints. The product combines robust engineering logic with an interactive 3D view in the browser, making it easier for users to explore design options and estimate key building parameters, including costs. In this role, you’ll work on the mathematical core of the system—refining existing models and developing new algorithms that make the application faster, smarter, and more accurate.

 

What you’ll be doing
 

• Experience: At least 3 years of professional experience in mathematical modeling, algorithm development, or optimization-focused software engineering.
• Mathematical Expertise: Strong foundation in areas such as numerical analysis, linear algebra, calculus, statistics, probability, optimization, and related mathematical disciplines.
• Python: Minimum of 2 years of experience, with expertise in object-oriented programming, data structures, algorithms, and performance optimization.
• Computational geometry for coordinating transformations, polygon operations, or spatial reasoning.
• Analytical Thinking: Strong problem-solving skills with the ability to break down complex challenges into actionable components.
• Attention to Detail: High level of accuracy and precision in developing and validating mathematical models and code.
• Communication: Ability to clearly explain complex mathematical and technical concepts to both technical and non-technical audiences.

• Education: Bachelor’s, Master’s, or Ph.D. in Mathematics, Computer Science, Engineering, or a related quantitative field.
  
  Nice to have
   

  • FastAPI (or similar frameworks): Experience building RESTful APIs and exposing mathematical models and algorithms as scalable web services.
  • AWS: Familiarity with cloud infrastructure services for deployment, scalability, and management of computational resources in production environments.
     
     

  What you'll be doing
   

• Mathematical Model Development: Design, develop, and implement mathematical models and algorithms to solve complex problems in engineering, data analysis, optimization, and related domains.
• Python Software Development: Translate mathematical models and algorithms into high-performance, reliable, and efficient Python code. Ensure clean architecture, solid coding practices, and optimal performance.
• Collaboration: Work closely with cross-functional teams—including developers and domain experts—to understand requirements, troubleshoot issues, and deliver integrated solutions.
• Testing and Validation: Perform rigorous testing and validation of mathematical models and their Python implementations to ensure accuracy, reliability, and efficiency.
• Documentation: Create clear, thorough documentation for models, algorithms, and code implementations.
   

What you’ll get at Syndicode
 

• Fully remote job
• Continuous feedback within teams and departments
• Top-notch team 
• Ability to participate in decision-making and bring new ideas
• Self-management: opportunity to manage your time and plan your activities
• Dynamic fast-growing environment: we react and adapt quickly to the world’s and market changes.

Job description

About DualEntry

Founded in 2024, DualEntry is one of the world’s fastest-growing AI startups.

At DualEntry, the future of finance is being written today. ERP is one of the largest fintech markets in the world ($220,000,000,000+). Yet, tens of thousands of companies are still using on-premise systems, and the industry has not seen new entrants in more than 30 years.

Our AI-native ERP lets accounting teams achieve more in less time. $5M-ARR businesses to NYSE-listed companies trust DualEntry to automate away manual data entry work with AI. We’re finally making the one-person finance team a reality and putting the pain of legacy ERPs from the 1990’s in the past.

We operate with urgency and ownership. We move fast.

Why This Role Matters Now

Since starting 18 months ago, we’ve raised $100,000,0000+ from world-class investors such as Lightspeed Venture Partners, Khosla Ventures, Contrary Ventures and Google Ventures, as well as more than 20 angel investors who’ve built, scaled, and exited some of the most impactful companies of the last decade.

We got there by moving incredibly fast and hiring an exceptionally sharp, hard-working and deeply committed team from leading tech and accounting companies — Ramp, Meta, Microsoft, Lyft, PwC, Deloitte, J.P. Morgan, Bloomberg, Sage, Xero and Intuit. And some of us don't have a fancy logo on our resume and are here for a shot to prove ourselves.

We’re a small team, growing fast with huge momentum - join early.

This is an intense, hands-on role with full ownership. We expect you to push for excellence and raise the bar.

📍 Location: Remote - this role is available across all countries with 4hr+ overlap for the US ET timezone (NYC HQ)

Where you'll create impact

• You’ll own end-to-end execution for backend systems and infrastructure
• You’ll build APIs, services, and real-time systems handling complex accounting logic
• You’ll collaborate with founders, product, and frontend engineering to turn complex workflows into secure, performant systems
• You’ll design, implement, and ship production-ready features at high speed
• You’ll manage data migrations, scaling challenges, external integrations, and end-to-end reliability
• You’ll drive measurable outcomes that accelerate DualEntry’s product velocity and stability

What sets you up for success

• Hardcore work ethic and high agency
• 8+ years of experience in backend engineering
• Proven track record in high-growth, high-ownership environments
• Strong skills in PostgreSQL, SQL, ORMs, migrations, and schema design
• Experience with AWS or comparable cloud infrastructure
• Strong API design and testing experience
• Understanding of CI/CD, deployment, and production readiness
• Bonus: expertise in Python and modern frameworks (FastAPI, Flask, or Django)
• Ability to manage complex systems with evolving requirements
• Fluent English (C1+) with clear communication

How You Operate

• Pragmatic: you like to move forward and make decisions based in reality (not theory). We don't debate if Cassandra has the most theoretical scalability -- we use Postgres until it breaks
• Hard working: 'You can work long, hard, or smart, but [here] you can't choose two out of three" - Jeff Bezos. We wrote this job post during the weekend
• Curious: you love to learn, are highly curious about new frameworks and solutions to engineering problems
• Fast-moving: you deploy daily, iterate quickly, and never wait for permission

Why you’ll thrive here

• Significant equity ownership in one of the top AI companies in the world
• You’re joining early and will grow with DualEntry
• Your feedback shapes the product directly
• High-speed culture
• High-trust environment with high expectations
• Ambitious mission - ERP is one of the largest B2B software markets in the world ($220bn per year), this is a once in a lifetime opportunity to build the next generation ERP in an industry that has not seen new entrants in 30+ years

Benefits & Perks

• Base Salary: $100,000 – $175,000 USD
• Equity: $75,000+ USD
• Contract type: B2B
• Remote-first team - the fastest team you will have ever worked with
• Time Off: 15 PTO days + 12 public holidays
• Visa sponsorship option for relocation to NYC within 2+ years
• Early-stage role with high autonomy and real long-term upside
• Enjoy a learning & development budget for courses, certifications, and language learning to keep growing your skills.
• Work where you feel most productive at co-working spaces or from your home office with support for setup, internet, and phone.
• Plus, wellness perks and more to make your workday even better!

We hire the best, expect the best, and give you the masterclass of your career - an archaic and huge industry like ERP only goes through a restructure like this once in a lifetime. It’s hard, it’s intense, and it’s the most rewarding work you’ll ever do.

If you’re hungry, driven, and ready to build something massive, climb aboard!

At DualEntry, we believe great products come from diverse teams. We’re an equal opportunity employer, and we’re committed to a culture where everyone feels included, supported, and able to do their best work.

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the role:
We are looking for a Platform+Python/JS Engineer to join our team and help build, maintain, and scale AI-powered interactive products.
This is a hands-on role for an engineer who owns deployment, infrastructure, real-time systems, and AI-service integration end to end. You will work on production systems that combine web applications, real-time communication, Kubernetes-based backend services, and GPU-hosted AI pipelines.
The core of this role is production reliability and deployment ownership — keeping live systems stable, responding to incidents, and integrating AI models into scalable real-time infrastructure. Frontend work exists but is secondary: the team has a designer and uses AI-assisted tooling for UI iteration.

Responsibilities:
- Own deployment, environment management, and release workflows across Kubernetes-based, Railway-hosted, and other cloud infrastructure.
- Deploy and operate AI inference services on GPU platforms such as Modal or RunPod and integrate them into real-time product flows.
- Build and maintain real-time communication and async processing flows, including LiveKit-based session infrastructure.
- Work with Python and TypeScript(Node.js) / JavaScript application code in production environments.
- Support database-backed product features, schema evolution, and migration workflows.
- Improve observability, logging, monitoring, and incident debugging workflows.
- Contribute to frontend and backend product functionality as needed, using AI-assisted tooling where appropriate.
- Maintain clear and up-to-date documentation for every product, service, and integration, including architecture diagrams, API contracts, deployment procedures, and environment configuration.
- Ensure every new feature is discussed, scoped, and agreed upon before implementation begins. No undocumented or uncoordinated changes to production systems.
- Collaborate with engineering and product stakeholders to clarify requirements, identify risks, and ship practical solutions.

Required skills:
- Experience with AWS, Kubernetes, Helm, and container-based deployment workflows.
- Experience maintaining or modifying CI/CD pipelines, preferably with Jenkins or a similar legacy setup.
- Experience with real-time systems: WebSocket-based communication, session lifecycle management, and event-driven flows.
- Experience deploying and operating AI inference services on GPU platforms such as Modal, RunPod, Replicate, or similar.
- Experience with Python for production backend development.
- Experience integrating LLM-based services, voice AI APIs, or media-processing pipelines into production systems.
- Experience debugging distributed or multi-service systems, including reading logs across multiple services and environments.
- Solid understanding of backend APIs, service integration, and system design.
- Experience with PostgreSQL and ORM-backed schema management and migrations.
- Experience with TypeScript (Node.js) and frontend experience to ship and deploy UI changes with AI-assisted tooling.
- Ability to work independently and bring structure to ambiguous technical situations.
- Strong written and verbal English communication skills.
- Experience using AI-assisted coding tools (e.g., Cursor, GitHub Copilot, Gemini) for faster development and iteration

What we offer:
- Real impact: your content will directly attract new clients.
- Mentorship and growth.
- Freedom to experiment and test new formats.
- Flexible schedule and a remote-first culture.

About the Role

We are looking for a Senior ML/Ops Engineer to join a core algorithmic platform team building real-time ML inference systems at massive scale.

This is a highly technical, hands-on role focused on designing and operating production-grade ML systems, not research. You will work on systems that handle high throughput and strict latency requirements, with full ownership across backend, ML, and infrastructure layers.

Responsibilities

• Design, build, and maintain real-time ML inference services
• Develop and scale backend systems in Python
• Own end-to-end ML systems (architecture, services, pipelines, infrastructure)
• Integrate ML models into production services and business logic
• Optimize systems for low latency and high throughput
• Work with streaming systems and event-driven architectures
• Ensure system reliability, monitoring, and performance in production
• Collaborate closely with Data Scientists and engineering teams

Tech Stack

• Python (core language)
• Kafka / streaming systems
• Kubernetes, AWS / GCP
• FastAPI, Triton or similar inference frameworks
• Feature stores, model serving, A/B testing, monitoring tools
• High-performance data stores (Redis, Aerospike, etc.)

Requirements

• Strong backend engineering background in Python
• Hands-on experience with MLOps and production ML systems
• Experience building and owning end-to-end systems
• Experience with real-time / low-latency systems
• Experience working with high-scale environments (large traffic, high throughput systems)
• Strong system design skills (APIs, inference services, SLAs)
• Solid understanding of the ML lifecycle (training → deployment → monitoring)

Ideal Background

• Started as a Backend Engineer (Python) and transitioned into ML Engineering / MLOps
• Built production-grade ML services, not just pipelines
• Experience in high-scale domains (AdTech, Fintech, Gaming, streaming systems)

Important Notes

• This is a high-ownership role in a core team
• The domain is complex and niche — focus is on quality over quantity
• Experience with high-scale systems is highly preferred

Not a Fit If

• Pure DevOps / Infrastructure profile
• Only worked with ML pipelines (Airflow, ETL) without production ML
• No experience with real-time systems or latency constraints
• Mostly research or Data Science background without production systems

Hiring Process

• 2–3 interview stages

This role is ideal for engineers who combine strong backend engineering with ML systems experience and enjoy building real-time, high-scale production systems from end to end.

About the project
 

US-founded media company operating email newsletters at scale – millions of subscribers across finance, health, and business verticals. Small engineering team, flat structure, direct ownership, fast iteration. No layers of approval, no large org to navigate.

You'll own the AI layer of the automation platform alongside a counterpart engineer who handles integration and infrastructure.
 

What you'll work on

• AI-driven content generation and management workflows at production scale
• Agent systems coordinating multi-step operational tasks: content, QA, validation, reporting
• RAG pipelines over internal knowledge bases and operational data
• Prompt architectures designed for reliability, cost control, and measurable output quality
• Evaluation and regression testing for LLM systems — "it looked fine when I tested it" isn't good enough
   

Real production systems, not demos. The work removes hours of manual operational work daily and needs to be reliable enough that people actually trust it.
 

Requirements

• 6+ years of development experience
• 4+ years of production Python
• 2+ years shipping production systems with LLMs and agents
• Solid understanding of what happens underneath the frameworks: tokenization, context windows, function calling, when RAG helps and when it doesn't
• Hands-on with agent orchestration: LangChain, LangGraph, MCP, or equivalent
• Clean, maintainable Python – frameworks support your thinking, not replace it
   

Tech stack

Python · FastAPI · PostgreSQL · LLM APIs (OpenAI, Anthropic) · LangChain / LangGraph / MCP · vector databases · Playwright · Docker · proxy infrastructure
 

Conditions

• B2B contract, full-time
• Warsaw office (onsite preferred, remote considered)
• Direct collaboration with technical PM and small senior team
• Fast-moving environment: ambiguity, shifting priorities, growing scope

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the client:
The company is on a mission to make the world’s industrial environments safer with technology solutions and to drive a paradigm shift in safety from reactive to proactive approaches to reduce the risk of industrial accidents. The team in Ukraine is developing the future of industrial safety based on machine learning, computer vision, and IoT.

About the role: 
We are looking for a Software Engineer to build high-throughput data pipelines and shared memory infrastructure. In this role, you will work with Python (3.11+) and ZeroMQ focusing on low-latency IPC, efficient memory management, and scaling our real-time processor ecosystem.

Responsibilities:
- Develop and optimize the Pipeline Engine (Python DAG orchestrator).
- Maintain shared memory pools (C library + Python/Go bindings).
- Manage the ZeroMQ IPC layer and FlatBuffers metadata serialization.
- Enhance the ProcessorWrapper infrastructure.

Must-have:
- Senior-level Python 3.11+: Deep understanding of concurrency, multiprocessing, GIL behavior, and memory management.
- Linux Systems Programming: Hands-on experience with /dev/shm, process isolation, file descriptors, and signals.
- Docker: Proficiency in containerized environments.

Nice to have:
- CUDA Basics: Experience with GPU memory management (IPC handles, stream sync, CPU↔GPU transfers).
- C/C++: Knowledge of POSIX shm, lock-free structures (atomic CAS), and pybind11/ctypes bindings.
- ZeroMQ & FlatBuffers: Familiarity with PUSH/PULL, PUB/SUB patterns, and zero-copy schema design.
- Computer Vision: Experience with OpenCV or CV-CUDA (nvcv).
- Optimization & RPC: Interest in TensorRT (YOLO optimization) and Connect RPC (Buf ecosystem).
- Domain Expertise: Background in building developer tools for ML pipelines, robotics, or real-time video systems.

The client offers:
- Good compensation;
- Benefit package;
- Strong team and career growth;
- Challenges every day!

We at Sigma Software are looking for a Python Developer to join an exciting project for a global telecommunications leader. 

This is a full-time position based in Ukraine with the flexibility of remote work. You will be part of a skilled Agile team building a high-impact web application that manages and tracks hardware inventories for millions of users. 

At Sigma Software, we value innovation, professional growth, and work-life balance. You’ll enjoy working in a collaborative environment and contributing to impactful solutions.

CUSTOMER 
Our customer is a leading telecommunications company recognized for delivering innovative, large-scale technological solutions. Operating globally, they provide advanced communication services and infrastructure to millions of users and businesses. Known for their commitment to cutting -  edge technology, scalability, and reliability, they offer a dynamic and forward-thinking work environment. 

PROJECT 
The project involves developing a web application to manage and  track customers' hardware inventories. It supports the full lifecycle of hardware contracts and products,  enabling efficient reporting, monitoring, and operational control. The  application integrates with existing systems, leverages modern frameworks, and follows SAFe Agile methodology to ensure high-quality delivery. 

Key Technologies: Python, Django, Django REST Framework, PostgreSQL, Celery, AWS, Unix, Bash, Angular/React 

Job Description

• Design and implement well-structured, maintainable, and robust code solutions
• Develop new features and components, perform refactoring, debugging, and ongoing maintenance
• Conduct peer code reviews and adhere to established engineering practices
• Perform unit and integration testing to ensure code quality
• Analyze requirements and prepare detailed technical designs for features
• Create and maintain technical documentation
• Participate in customer meetings, including conference calls and face-to-face sessions

• Actively contribute to SAFe Agile ceremonies, including estimation, grooming, and planning sessions

   

Qualifications

• 5+ years of experience in Python
• Practical expertise with Django, Django REST Framework (DRF), and Django ORM
• Solid understanding of PostgreSQL
• Experience writing unit tests using Python’s testing frameworks (e.g., TestCase)
• Familiarity with Celery for task scheduling and asynchronous processing
• Experience with AWS and Unix-based systems
• Bash scripting skills
• Experience with Angular or React
• At least Upper - Intermediate level of English

WILL BE A PLUS:

• Experience with microservices architecture
• Knowledge of Docker/Kubernetes
• Familiarity with CI/CD pipelines
• Understanding of telecom industry specifics

PERSONAL PROFILE:

• Proactive and detail-oriented
• Strong communication skills
• Ability to work effectively in distributed teams
• Adaptable and open to feedback
• Collaborative mindset

About us

Farsight Vision converts flight footage into digital 2D and 3D twins for real-time intelligence in GNSS-denied environment, making analytics and situational awareness convenient and accessible while saving time and effort. We create multi-layered digital twins of terrain with dynamic tracking and object/landscape monitoring and predicting.

As a Senior Python Software Engineer, you will be a core part of our technology team, responsible for building and maintaining the backend infrastructure of the FSV Platform. You will work with cutting-edge technologies, including Python-based frameworks, cloud services, and machine learning operations (MLOps), to develop a platform that processes and analyzes drone data to create 3D models and orthophotos. Your role will involve not only backend development but also basic DevOps tasks and collaboration with frontend teams, making this a dynamic and versatile position.

If you thrive in startup environments, are proactive, and enjoy solving complex problems, this position offers an exciting opportunity to contribute to an innovative platform and grow alongside our ambitious team.

Responsibilities

• Design, develop, and maintain scalable backend services for the platform.
• Implement, deploy, and maintain machine learning algorithms in production environments.
• Work with the frontend team to ensure seamless integration and occasionally contribute to frontend tasks if necessary.
• Work with the platform’s cloud infrastructure, ensuring efficiency, scalability, and reliability.
• Actively engage in solving platform issues, optimizing processes, and contributing innovative solutions.
• Stay updated with new backend, cloud, and ML technologies, and quickly adapt to new protocols or tools as required.

Requirements

• 5+ years of experience in Software Development.
• Proficiency with Python (3+ years) and frameworks such as Django, Flask, etc.
• Proven experience in implementing ML algorithms in production environments.
• Previous experience working in a fast-paced startup environment.
• Solid understanding of AWS or similar cloud platforms.
• Basic experience with frontend frameworks, such as React. Ability to assemble a simple project independently.
• Familiarity with DevOps principles, capable of deploying models when needed, and managing environments.
• A strong sense of initiative and self-drive to rapidly acquire, understand, and effectively implement new technologies, protocols, and frameworks to meet project needs and challenges.
• Education: Bachelor’s degree in Mathematics, Physics, Computer Science, or related field.

Why us

• With us, you will become part of a team of professionals who strive to contribute to the development of advanced technologies.
• We value teamwork and create an atmosphere of mutual support where everyone can unleash their potential.
• Flexible work schedule.
• Paid vacation and sick days.

Hiring process

• Test Task.
• Technical Interview.
• PM & C-level management Interview.

Senior Backend Developer (CRM from scratch)

We’re looking for a Senior Backend Developer to build a CRM system from scratch. You’ll have a strong impact on architecture, product decisions, and business logic.

Responsibilities:

• Design and develop CRM architecture from scratch
• Build and optimize databases
• Develop APIs (REST / GraphQL / Webhooks)
• Implement business logic (sales pipeline, roles, access control)
• Integrate with external services
• Ensure data security and integrity

Must-have:

• 3+ years of backend development experience
• Strong SQL and database design skills (normalization, indexing, optimization, ER-diagrams)
• Experience with APIs (REST / GraphQL / SOAP, Webhooks)
• One of the stacks: Python / Node.js / PHP
• Docker + cloud platforms (AWS / GCP / Azure)
• NoSQL (Redis / MongoDB)
• Understanding of RBAC, audit logging, data security (GDPR, encryption)
• Experience with ETL processes and data handling (validation, cleaning)

Nice to have:

• Experience building CRM systems
• Strong business/system analysis skills

We offer:

• Build a CRM from scratch (no legacy)
• High impact on technical decisions
• Fast processes, no bureaucracy

CrunchCode — міжнародна сервісна ІТ-компанія з досвідом близько 7 років у розробці вебсервісів і вебзастосунків. Ми працюємо у форматах staff augmentation (outstaff) та outsourcing і підключаємо спеціалістів до проєктів клієнтів у довгостроковій моделі співпраці.

Ми працюємо переважно з проєктами в доменах логістики (включно з last mile),e-commerce, fintech та банкінгу, а також enterprise-рішеннями.
Для нас важливо, щоб проєкт був “чистим” і зрозумілим з точки зору етики та цінності для користувачів.

Ми принципово не беремо проєкти, пов’язані з:
● gambling / гемблінгом,
● adult-контентом та порнографією,
● шахрайством або будь-якою розробкою, що спрямована на обман чи маніпуляції.

What We Offer:
● Fully remote work
● Long-term, stable project
● High level of autonomy and trust
● Minimal bureaucracy
● Direct impact on business-critical logistics systems
● Long-term engagement, not a short-term contract.

Project Overview:
New product development integrated into an existing client solution. The team builds cloud-based and AI-driven features using modern full-stack and generative AI tooling. Long-term project with no fixed end date. The Tech Lead role is hands-on development first — team management is secondary.

Duration: Long-term (~2 years+)

Tech Stack:
Python, Jupyter Notebooks, AWS, React, Node.js, Cursor, Claude Code, Windsurf, CI/CD

Requirements (Must-have):
- Strong Python experience in a data or engineering context
- English B2+
- Hands-on experience with Jupyter Notebooks and cloud-based analysis tools
- Proven use of Generative AI coding tools (3–6 months minimum with Claude Code or similar)
- Tech Lead or senior-level experience with hands-on development focus
- Experience with AWS and cloud-based development

Responsibilities:
- Lead technical direction while remaining hands-on in day-to-day development
- Build and maintain data analysis workflows using Python and Jupyter Notebooks
- Develop cloud-based analytical solutions and data pipelines
- Contribute to full-stack development (React / Node.js) where needed
- Leverage Generative AI tools (Cursor, Claude Code, Windsurf) daily
- Collaborate closely with 2 Full-Stack Developers within a tight-knit team

Nice to Have:
- Full-stack development background (React + Node.js)
- Data Science or Data Analysis background
- Experience building agentic or LLM-integrated systems

Hiring Process:
- Intro call
- Technical discussion
- Offer
Start: ASAP (flexible)

We are a product-focused iGaming company with a fast-paced development environment and high-load B2C products.

We are currently looking for an experienced Senior Python Developer.
 

Responsibilities:

• Participate in the design and development of new functional modules and services in Python
• Maintain and optimize existing code, fix bugs
• Work with relational databases (PostgreSQL, MySQL), NoSQL storage (Redis), and message queues (RabbitMQ, Kafka)
• Implement and support testing (unit tests, integration tests)
• Collaborate with frontend, QA, and DevOps teams to ensure application quality and performance at all stages of development
• Participate in code reviews and architectural discussions
• Document code and maintain technical documentation / interact with system analysts
   

Requirements:

• 5+ years of commercial experience with Python
• Experience with asynchronous programming (aiohttp, asyncio)
• Strong knowledge of FastAPI
• Confident use of version control systems (Git)
• Experience with relational databases and writing complex SQL queries
• Solid understanding of OOP principles and design patterns
• Understanding of architectural principles (SOLID, DDD, Clean Architecture)
• Experience writing unit and integration tests
• Basic knowledge of Docker and understanding of CI/CD fundamentals
   

Nice to have:

• Experience with cloud platforms (AWS, GCP, Azure)
• Experience with monitoring and logging tools (Prometheus, Grafana, Sentry)
• Understanding of Event-Driven Architecture
   

Conditions:

• Fully remote work format, Monday–Friday schedule
• Opportunities for growth and development in a strong team
• Paid vacation and sick leave + additional days off

We are looking for an enthusiastic and proactive Intern Python Developer to join our dynamic team!

This is a fantastic opportunity to start your career in software development and gain hands-on experience working with modern technologies in a collaborative and supportive environment. If you complete the internship successfully, you will have the chance to continue your journey with our team for at least 1 year.

For this internship, you need to have:

— Good knowledge of Python programming language;
— Understanding of basic software development concepts such as data structures, algorithms, object-oriented programming, and async programming;
— Knowledge of Django;
— Familiarity with version control systems, preferably Git;
— Familiarity with Linux systems;
— Familiarity with SQL and NoSQL Databases;
— Intermediate English level.

Would Be a Plus:

— Familiarity with ML, LLM, and RAG;
— Passionate about AI;
— Some experience in pet projects.

Our selection process includes:

— HR interview;
— Tech interview;
— Final interview with the founders of the company.

We offer:

— Internship schedule: Monday to Friday, 10.00–19.00
— Office-based / remote work;
— No time trackers or other bureaucratic measures;
— Practical experience on internal projects;
— Networking with experienced professionals willing to share their knowledge and experience;
— Opportunity to obtain a contract with HYS Enterprise as a Junior specialist.
— Gifts for birthdays and professional holidays;
— Interaction with experienced professionals willing to share their knowledge;
— Participation in internal and external events.

Recruitment stages: HR interview, Tech interview, Final interview, Offer.