Python Developer (e-commerce)

🏢 Summary: Senior Python Developer role focused on building and scaling high-throughput backend services for logistics and routing operations in the eCommerce industry. The position involves developing cloud-native microservices, working with geospatial and routing algorithms, and optimizing logistics efficiency using modern data and infrastructure technologies. The offer includes remote or hybrid B2B cooperation and access to additional benefits. 🗂️ Requirements: 4+ years of commercial backend development experience with Python, Experience with SQL, Knowledge of logistics domain, network analysis, and routing algorithms, Experience with geospatial data concepts and tools, Familiarity with Google Cloud Platform, Experience with Kubernetes, Experience with Terraform, Knowledge of Airflow, Understanding of microservices architecture, Knowledge of TDD and CI/CD practices, Experience with code reviews and clean code standards, Polish at native level, English at B2+ level, Higher technical education in Computer Science or related field 📃 Skills: Python, SQL, BigQuery, Dataflow, Composer, Airflow, Kubernetes, Terraform, CI/CD, Microservices, PostGIS, H3, GCP 🏢 Description: For our client, a leading player in the eCommerce industry, we are seeking a Senior Python Developer to join a talented engineering team. In this role, you'll contribute to the development of scalable backend solutions, collaborate with cross-functional teams, and have a real impact on the company's products and technology. RESPONSIBILITIES We are looking for support of Senior Software Engineer specializing in Python and routing algorithms. The specialist will be responsible for supporting the design and scaling of high-throughput services that power our first and last-mile operations. By leveraging network analysis and spatial optimization, the specialist will assist in building the next generation and directly enhancing our logistics efficiency. Stack: We are bypassing traditional, legacy GIS software in favor of cloud-native Python architectures, Big Data solutions, and modern routing APIs. Current Technology Stack used in Project: Backend & Routing: - Python - Microservices - Open-source & Commercial Routing Engines Data & Cloud: - Google Cloud Platform (BigQuery, Dataflow, Composer/Airflow) - SQL Infrastructure: - Kubernetes - Terraform - CI/CD pipelines REQUIREMENTS - At least 4 years of commercial experience in backend software development using Python and SQL - Experience or strong understanding of the logistics domain, network analysis, and routing - Experience with geospatial data concepts applied via code - Familiarity with cloud ecosystems (Google Cloud Platform preferred) and modern infrastructure tools - Advocate for engineering excellence, including clean code, TDD, CI/CD, and rigorous code reviews - Ability to design and scale a microservices-based architecture - Polish at native level - English at B2+ level - Higher technical education in Computer Science or related fields WHAT DO WE OFFER ON THIS PROJECT? - Cooperation based on a B2B contract and rate: 140-160 PLN/hour - Remote work / Hybrid work from Warsaw (1 time per month) - Support of a dedicated mentor - Events and integration meetings - Access to benefits offering including medical care and Multisport card WHAT DOES THE RECRUITMENT PROCESS LOOK LIKE? - Application and CV submission - Screening conversation with recruiter about experience - Explanation of recruitment process and ongoing communication throughout the process

🏢 Summary: Senior Python Developer role focused on designing and building scalable, secure backend systems for maritime and logistics projects in an international environment, using modern asynchronous Python technologies. The position involves developing high-performance services, integrations, and database solutions with strong emphasis on security and code quality. 🗂️ Requirements: Minimum 3 years commercial software development experience, Participation in at least 3 international projects, Participation in at least 2 maritime-related projects, Ukrainian language proficiency B2 or higher, Strong experience with Python 3.11+ / 3.12+, Hands-on experience with FastAPI, Practical experience with SQLAlchemy 2.0 and asyncpg, Very good knowledge of PostgreSQL including transactions, indexing, optimization, migrations, partitioning, read replicas, Experience building and maintaining REST APIs and OpenAPI documentation, Experience with SOAP/XML and REST/JSON integrations, Practical experience with asynchronous programming and multi-step workflows, Knowledge of OAuth 2.0, PKCE, JWT, RBAC, TLS and secure API design, Experience with pytest, mypy and flake8 📃 Skills: Python, FastAPI, SQLAlchemy, asyncpg, Alembic, PostgreSQL, REST, OpenAPI, SOAP, XML, JSON, OAuth2, PKCE, JWT, RBAC, TLS, pytest, mypy, flake8 🏢 Description: Senior Python Developer Maritime / Logistics (Ukrainian+English) We are looking for an experienced Senior Python Developer to join an international team delivering modern backend systems, including solutions for the maritime industry (ships, ports, maritime logistics). The person in this role will be responsible for designing and developing scalable, secure, and high-quality backend services using modern Python and asynchronous technologies. Key Requirements Minimum 3 years of commercial experience as a software developer. Participation in at least 3 international projects . Participation in at least 2 maritime-related projects (e.g., ships, harbors, port systems, maritime logistics). Ukrainian language proficiency at B2 level or higher . Technical Requirements Strong knowledge of Python 3.11+ / 3.12+ . Hands-on experience with FastAPI . Good knowledge and practical experience with: SQLAlchemy 2.0 asyncpg Alembic Very good knowledge of PostgreSQL , including: ACID transactions indexing and query optimization database migrations table partitioning read replicas Experience in building and maintaining REST APIs and OpenAPI documentation . Experience with system integrations: SOAP/XML REST/JSON Practical experience with asynchronous programming and handling multi-step workflows (e.g., transactional processes, integration workflows). Knowledge of security mechanisms and best practices: OAuth 2.0 PKCE JWT RBAC TLS data validation and secure API design Experience with testing and code quality tools: pytest mypy flake8 Responsibilities Design, develop, and maintain backend services using Python and FastAPI . Build and optimize PostgreSQL-based solutions with a focus on performance and scalability. Implement and maintain integrations with external systems via SOAP and REST APIs . Develop asynchronous processing logic and multi-step workflows. Ensure application security using modern authentication and authorization standards. Write automated tests and maintain high code quality standards. Participate in technical analysis, code reviews, and collaboration with international teams.

🏢 Summary: Senior Software Engineer role focused on building scalable backend systems and customer-facing APIs for AI-driven logistics solutions. The position centers on designing core service layers, workflow engines, and integrations with HERE and third-party APIs to enable intelligent delivery optimization at scale. It emphasizes hands-on backend development, system reliability, and production-quality engineering. 🗂️ Requirements: Strong backend development experience, Proficiency in Python and/or TypeScript, Experience building APIs and backend systems, Experience designing scalable and distributed systems, Understanding of API design and data modeling, Experience with cloud platforms (AWS, GCP, or Azure), Experience with CI/CD practices, Experience integrating external APIs, Ability to debug and troubleshoot production systems 📃 Skills: Python, TypeScript, API, REST, DistributedSystems, AWS, GCP, Azure, CI/CD, LLM, RAG, Integration, DataModeling, Cloud, Git 🏢 Description: What's the role? We are looking for a Senior Software Engineer to build core backend systems powering next-generation agentic AI solutions for the logistics industry. The systems developed by this team optimize deliveries at scale improving driver efficiency, increasing reliability, reducing operational costs, and lowering environmental impact. In this role, you will focus on building the core service layer, customer-facing APIs, workflow engines, and integrations with HERE APIs and third-party systems that enable intelligent logistics workflows. You will work closely with senior engineers and technical leaders to design and implement scalable, reliable systems that support AI-driven planning and optimization use cases. This is a hands-on engineering role with a strong focus on backend development, system reliability, and production-quality delivery . What You’ll Do: Design, build, and maintain core backend services, APIs, and workflow orchestration systems for logistics applications Implement integrations with HERE APIs and external third-party systems to support real-world logistics workflows Translate product and technical requirements into scalable and maintainable system components Write clean, efficient, and well-tested code in Python and/or TypeScript Contribute to system design discussions and implement solutions aligned with the overall architecture Build and maintain customer-facing APIs with a strong focus on usability, performance, and reliability Ensure high-quality delivery through testing, monitoring, and debugging in production environments Collaborate with engineers, product managers, and domain experts to deliver end-to-end features Continuously improve system performance, scalability, and operational efficiency Leverage AI-assisted development tools to improve development speed and code quality Who are you? What We’re Looking For: Software engineering experience with strong backend development skills Proficiency in Python and/or TypeScript, with experience building APIs and backend systems Experience designing and building scalable services and working with distributed systems Strong understanding of API design, data modeling, and system integration patterns Experience working with cloud platforms (AWS, GCP, or Azure) and modern CI/CD practices Familiarity with building or integrating AI/ML systems (e.g., working with LLM APIs, RAG-based systems, or similar) is a plus Experience integrating with external APIs and handling real-world data and system constraints Solid debugging and problem-solving skills in production environments Ability to work independently on well-defined problems and collaborate effectively within a team Good communication skills and a pragmatic approach to engineering challenges What We Offer: The opportunity to tackle meaningful and challenging problems A chance to continuously learn and stay on top of the latest technology trends Work that has real-world impact, shaping the future of mobility and technology Regular feedback to help you grow and succeed in your role A collaborative and supportive team environment where your contributions are valued Competitive salary plus bonus Flexible working hours and a hybrid working environment Medical coverage for you and your family This role is eligible for Creative Tax Incentive scheme in Poland” or KUP (Autorskie Koszty Uzyskania Przychodu) Option to work on a B2B contract (please note: benefits, bonus and KUP do not apply in this case) Change is HERE. Apply Now! #LI-AK8   #LI-HYBRID Life at HERE in Poland comes with a competitive total rewards package designed to support your health, wellbeing, and performance. This includes a base salary, a Short-Term Incentive (STI) bonus (percentage based on role), a creative tax advantage for eligible positions, private medical care (including dental), life insurance, a meal allowance, vision reimbursement, a remote work allowance (if applicable), access to MyBenefit and Multisport programs, and various wellbeing initiatives. Paid time off, sick leave, and parental leave are provided in accordance with the Polish Labor Code. As part of HERE Technologies employment process, candidates will be required to successfully complete a pre-employment screening process. This offer and any related claims are subject to the successful completion of a pre-employment screening. This will involve employment, education, and criminal verification if applicable. HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics. Who are we? HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel. Apply for this job online Email this job to a friend Share on your newsfeed Connect With Us! Not ready to apply? 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🏢 Summary: Senior Python Engineer role focused on building and scaling a cloud-native real-time Data Platform handling massive datasets. The position involves developing high-performance backend services, optimizing distributed systems, and integrating large-scale data storage solutions. Hybrid work model in Warsaw with employment benefits including private medical care and multisport card. 🗂️ Requirements: 8+ years of backend software development experience, Advanced Python expertise, Experience with scalable production-grade systems, Knowledge of concurrency and multiprocessing, Experience with Pandas or NumPy, Experience with Parquet or JSON data formats, Knowledge of relational and NoSQL databases, Experience with performance optimization and low-latency systems, Ability to use AI-assisted development tools responsibly 📃 Skills: Python, Pandas, NumPy, Parquet, JSON, SQL, NoSQL, API, OOP, Concurrency, Multiprocessing, Algorithms, Databases, Cloud 🏢 Description: For our client, a leading, high-growth global fintech company – we are looking for an experienced Senior Python Engineer to join a key engineering team responsible for the company’s core data foundation. The project focuses on building, optimizing, and scaling a cloud-native, high-throughput Data Platform designed to ingest, process, and distribute massive datasets in real-time. This platform serves as the backbone for various downstream analytical systems, requiring extreme reliability, performance, and scalability. This is a fantastic opportunity for a strong Python generalist who enjoys solving complex distributed system problems, optimizing data flows, and working with modern cloud architectures. Responsibilities Backend & Pipeline Development: Design and develop scalable backend services and high-performance data processing pipelines using Python. Performance Tuning: Identify bottlenecks and optimize system performance, focus on concurrency, throughput, and low-latency execution. Data Integration & Storage: Build robust integrations with modern cloud-native storage solutions and databases to manage large-scale datasets efficiently. Collaborative Engineering: Work closely with cross-functional technical teams to understand data requirements and deliver reliable API services and platform features. Engineering Excellence: Maintain top-tier coding standards, emphasizing clean code, robust testing (unit/integration), automation, and security. Requirements 8+ years of professional backend software development experience (with a strong track record in building scalable, production-grade systems). Deep expertise in Python (advanced OOP, concurrency/multiprocessing, memory management, data structures, and algorithms). Solid experience with data-centric libraries such as Pandas, NumPy, or similar data processing frameworks. Experience with large-scale data storage formats (e.g., Parquet, JSON, or column-oriented databases) and relational/NoSQL databases. AI-assisted development mindset: Comfortable utilizing AI tools  to accelerate delivery, while maintaining strong developer judgment regarding validation, testing, security, and refactoring. What our client offers: Hybrid work model in Warsaw (minimum 3 days a week in the office - strictly non-negotiable). Contract of Employment (UoP) with increased tax-deductible costs (KUP). Private medical care (including full dental care). Lunch card to cover your daily meals. Multisport card.

🏢 Summary: Senior Software Engineer role focused on building and scaling backend services and AI-powered features using Scala and Python. The project involves integrating AI models and external AI services via APIs in a remote B2B engagement based in Poland. The contract is for 6 months with the possibility of extension. 🗂️ Requirements: Strong commercial experience with Scala, Strong proficiency in Python, Senior-level software engineering knowledge, Experience with testing, Experience with version control, Experience with CI/CD, Knowledge of Agile methodologies 📃 Skills: Python, Scala, LLMs, ElasticSearch, PHP, AWS, Azure, GCP, CI/CD, APIs, Agile 🏢 Description: Senior Software Engineer Skills: Python | Scala | AI models integration Project duration: 6 months with the possibility of extension B2B contract Remote work from Poland Scope of responsibilities: - Develop and maintain robust backend services using Scala and Python - Design, implement, and scale AI-powered features across the platform - Integrate internal and external AI services via APIs, including LLMs and similar AI platforms - Contribute to the continuous improvement of backend architecture and AI capabilities Required skills: - Strong commercial experience with Scala in production environments - Strong proficiency in Python - Senior-level understanding of software engineering best practices, including testing, version control, CI/CD, and Agile methodologies Nice-to-have: - Hands-on experience working with Large Language Models (LLMs) - Experience with AI-based transcription solutions or similar AI models - Knowledge of ElasticSearch - Experience integrating AI services through APIs - Experience with PHP development - Familiarity with public cloud AI services such as AWS, Azure, or GCP

🏢 Summary: Senior Software Engineer role focused on building and optimizing Python-based data processing solutions. The position involves designing end-to-end ETL/ELT pipelines, containerizing applications, and deploying them as Kubernetes CronJobs integrated with Kafka. The engineer will also manage CI/CD pipelines to ensure reliable, automated deployments and operational stability. 🗂️ Requirements: Strong Python development skills, Experience designing ETL/ELT pipelines, Hands-on experience with Kubernetes CronJobs, Experience with Kafka, Experience building and managing CI/CD pipelines, Experience with SFTP and REST APIs, Containerization experience, Ability to design scalable data flows, Troubleshooting skills in data-processing environments 📃 Skills: Python, ETL, ELT, Kubernetes, Kafka, CI/CD, SFTP, REST, Docker, APIs 🏢 Description: Introduction & Summary We are seeking a skilled Senior Software Engineer with expertise in Python. The ideal candidate will possess strong Python skills, a solid understanding of ETL processes, and experience with Kubernetes and CI/CD pipelines. Main Responsibilities - Develop and maintain a Python application/script for scheduled data-processing tasks. - Containerize the application and deploy it as a Kubernetes CronJob & Kafka. - Design and implement end-to-end data flows for ingestion, transformation, and storage. - Optimize and maintain reliable data-processing workflows for operational stability. - Build and manage CI/CD pipelines for application deployment and updates. - Collaborate with cross-functional teams to troubleshoot issues and enhance solutions. Key Requirements - Strong Python skills to build efficient applications for data ingestion, transformation, and storage. - Experience with secure file transfers (SFTP) and REST APIs. - Hands-on experience with containerization and running workloads as Kubernetes CronJobs & Kafka. - Experience managing CI/CD pipelines for automated build, deployment, and operations. - Solid troubleshooting and collaboration skills to deliver reliable data solutions. - Proven ability to design and optimize scalable ETL/ELT pipelines. Nice to Have - Familiarity with various data storage solutions. - Experience working in an Agile environment. - Knowledge of additional programming languages.

🏢 Summary: Senior Python Engineer role focused on designing and building scalable backend systems and AI-integrated applications for finance and telecom projects. The position involves leading architecture decisions, integrating AI tools across the SDLC, and collaborating directly with clients. It requires strong backend expertise, experience with AI agents and LLM integrations, and ownership of high-quality production systems. 🗂️ Requirements: 6+ years professional Python development experience, Commercial experience with AI tools and agent/LLM integrations, Strong expertise in Python 3.9+ and large-scale applications, Experience with REST or GraphQL API development, Experience with automated testing: unit, integration, E2E, Experience with FastAPI, Django REST Framework, or Flask, Proficiency with PostgreSQL and ORM tools, Understanding of clean architecture, DDD, CQRS, event-driven systems, Experience with CI/CD pipelines and Docker, Hands-on experience with AI coding assistants, Strong prompt engineering skills, Experience with AWS services, Ability to work independently and communicate with clients in English 📃 Skills: Python, Django, FastAPI, Flask, PostgreSQL, SQLAlchemy, DjangoORM, REST, GraphQL, NumPy, Pandas, Pydantic, pytest, Docker, GitLabCI, GitHubActions, AWS, S3, RDS, Kubernetes, SQS, RabbitMQ, Celery, Kafka, Redis, MongoDB, MySQL, LangChain, LlamaIndex, Anthropic, OpenAI, Claude, Cursor, Copilot, Git, React, TypeScript 🏢 Description: Description Godel is on the lookout for talented Senior Python Engineers to join one of our teams engaged in the development of business applications for major British companies. We always have new and exciting projects with opportunities to improve your skills in a wide spectrum of technologies. If you are an enthusiastic and ambitious Python Engineer, this job is for you! 02 Responsibilities Design, develop, and maintain scalable finance-focused backend solutions using Python Integrate external systems and third-party APIs Work closely with Product Managers and Tech Leads to define, size, and solve real-world telecom customer problems Write high-quality, well-tested code ensuring reliable daily deployments to production Participate in peer reviews, refinements, and continuous feedback loops across a multi-disciplinary team Maintain a developer-first quality culture: own unit, integration, and functional testing Be part of a weekly engineering goal-setting process (lean Kanban-style working) Apply AI tools throughout the entire development lifecycle: code generation, refactoring, automated review, test creation, debugging, and technical research Architect and design Python-based systems: API services, data pipelines, async workers, and AI-integrated backends — with AI assistance as a core part of the process Conduct thorough code reviews, uphold engineering best practices, and ensure high-quality, maintainable Python codebases across the team Contribute to technology selection, system design, and trade-off analysis across client projects Identify risks, bottlenecks, and security concerns proactively; propose and implement solutions Work directly with clients in English for requirements clarification, technical discussions, and progress updates Mentor junior and mid-level Python engineers through day-to-day guidance, pair sessions, and knowledge sharing Stay current with advancements in Python tooling, AI coding assistants, and LLM-integration patterns 03 Requirements Must have: 6+ years of professional Python development experience after graduation from university At least 0.5 years of commercial experience in AI tools on real projects – building/implementing agents/sub-agents, MCP integrations, skills crafting, or Spec driven integration into clients projects, or building SDLC with help of agents, or RAG chatbots Strong Python engineering skills (3.9+), large-scale applications (not just small web apps): async/await, dataclasses, Pydantic, NumPy, Pandas, etc Good understanding of integration patterns, API development (REST / GraphQL), and third-party system interoperability Solid experience in building automated tests: unit, integration, and E2E tests Readiness to start a new project as a solo engineer and drive communication with the client. In addition, manage extension of a new team if needed Experience with at least one major web/API framework: FastAPI, Django REST Framework, or Flask Proficiency with relational databases (PostgreSQL) and ORMs (SQLAlchemy, Django ORM) Solid understanding of software architecture patterns: clean architecture, domain-driven design, CQRS, event-driven systems Familiarity with CI/CD pipelines (GitLab CI, GitHub Actions) and containerization (Docker, Docker Compose) A demonstrable, personalized AI development workflow with custom skills, prompt templates, and project-level instructions — not just default out-of-the-box usage Hands-on experience with AI coding assistants: Claude Code, Cursor, GitHub Copilot, or similar Strong prompt engineering skills: ability to produce reliable, structured output and critically evaluate AI-generated code Critical mindset toward AI-generated output: knowing when to trust it, when to verify it, and when to rewrite it Passion for clean code, peer reviews, and high code quality standards Familiarity with scaling large systems — vertical scaling, single-tenant deployments Self-driven, comfortable with autonomy and open team cultures (trust > process) Experience working with or around AWS services (e.g., RDS, S3, Kubernetes, SQS, RabbitMQ) Readiness to work with Windows (WSL) Nice to have: Frontend experience (React) Familiarity with Celery, RabbitMQ, or Kafka for async task processing Contributions to open-source Python or AI projects Experience with RAG (Retrieval-Augmented Generation) pipelines and vector databases (Qdrant, Chroma, pgvector) Knowledge of LangGraph, AutoGen, or other agent orchestration frameworks Ability to create custom sub-agents and orchestrate multiple AI agents in parallel for concurrent task execution Experience integrating LLMs into Python applications via the Anthropic SDK, OpenAI SDK, or LangChain/LlamaIndex Exposure to ML/AI model lifecycle: fine-tuning, embedding generation, model evaluation 04 Tech Stack Language: Python 3.9+, JS (Typescript, React) nice to have Web / API: FastAPI, Django REST Framework, Flask, etc Databases: PostgreSQL, Redis, MongoDb, MySQL Task queues: Celery, RabbitMQ, Kafka AI/LLM: Anthropic Claude, OpenAI, LangChain, LlamaIndex, BMAD, SpecKit, OpenSpec Testing: pytest Infrastructure: Docker, GitLab CI/CD, AWS / GCP AI tooling: Claude Code, Cursor, GitHub Copilot Version control: Git (GitLab)

🏢 Summary: Senior Python Engineer role focused on designing and delivering scalable, finance-oriented backend systems and AI-integrated solutions for telecom and enterprise clients. The position involves architecting APIs, data pipelines, and async services while leveraging AI tools throughout the SDLC. Engineers drive technical decisions, ensure high code quality, and collaborate directly with clients. 🗂️ Requirements: 6+ years professional Python development experience, Commercial experience with AI tools in real projects (agents, RAG, integrations), Strong Python 3.9+ knowledge including async/await and typing, Experience building large-scale backend applications, Experience with FastAPI, Django REST Framework, or Flask, Experience with REST or GraphQL API development, Experience integrating third-party systems and APIs, Experience with PostgreSQL and ORM tools, Knowledge of clean architecture, DDD, CQRS, event-driven systems, Experience writing unit, integration, and E2E tests, Experience with CI/CD pipelines, Experience with Docker and containerization, Hands-on experience with AI coding assistants, Strong prompt engineering skills, Experience with AWS services, Ability to work independently and communicate with clients in English 📃 Skills: Python, Django, FastAPI, Flask, REST, GraphQL, PostgreSQL, SQLAlchemy, DjangoORM, Redis, MongoDB, MySQL, Celery, RabbitMQ, Kafka, Docker, GitLabCI, GitHubActions, AWS, GCP, Pytest, NumPy, Pandas, Pydantic, Claude, OpenAI, LangChain, LlamaIndex, AnthropicSDK, OpenAISDK, Kubernetes, SQS, Git 🏢 Description: Description Godel is on the lookout for talented Senior Python Engineers to join one of our teams engaged in the development of business applications for major British companies. We always have new and exciting projects with opportunities to improve your skills in a wide spectrum of technologies. If you are an enthusiastic and ambitious Python Engineer, this job is for you! 02 Responsibilities Design, develop, and maintain scalable finance-focused backend solutions using Python Integrate external systems and third-party APIs Work closely with Product Managers and Tech Leads to define, size, and solve real-world telecom customer problems Write high-quality, well-tested code ensuring reliable daily deployments to production Participate in peer reviews, refinements, and continuous feedback loops across a multi-disciplinary team Maintain a developer-first quality culture: own unit, integration, and functional testing Be part of a weekly engineering goal-setting process (lean Kanban-style working) Apply AI tools throughout the entire development lifecycle: code generation, refactoring, automated review, test creation, debugging, and technical research Architect and design Python-based systems: API services, data pipelines, async workers, and AI-integrated backends — with AI assistance as a core part of the process Conduct thorough code reviews, uphold engineering best practices, and ensure high-quality, maintainable Python codebases across the team Contribute to technology selection, system design, and trade-off analysis across client projects Identify risks, bottlenecks, and security concerns proactively; propose and implement solutions Work directly with clients in English for requirements clarification, technical discussions, and progress updates Mentor junior and mid-level Python engineers through day-to-day guidance, pair sessions, and knowledge sharing Stay current with advancements in Python tooling, AI coding assistants, and LLM-integration patterns 03 Requirements Must have: 6+ years of professional Python development experience after graduation from university At least 0.5 years of commercial experience in AI tools on real projects – building/implementing agents/sub-agents, MCP integrations, skills crafting, or Spec driven integration into clients projects, or building SDLC with help of agents, or RAG chatbots Strong Python engineering skills (3.9+), large-scale applications (not just small web apps): async/await, dataclasses, Pydantic, NumPy, Pandas, etc Good understanding of integration patterns, API development (REST / GraphQL), and third-party system interoperability Solid experience in building automated tests: unit, integration, and E2E tests Readiness to start a new project as a solo engineer and drive communication with the client. In addition, manage extension of a new team if needed Experience with at least one major web/API framework: FastAPI, Django REST Framework, or Flask Proficiency with relational databases (PostgreSQL) and ORMs (SQLAlchemy, Django ORM) Solid understanding of software architecture patterns: clean architecture, domain-driven design, CQRS, event-driven systems Familiarity with CI/CD pipelines (GitLab CI, GitHub Actions) and containerization (Docker, Docker Compose) A demonstrable, personalized AI development workflow with custom skills, prompt templates, and project-level instructions — not just default out-of-the-box usage Hands-on experience with AI coding assistants: Claude Code, Cursor, GitHub Copilot, or similar Strong prompt engineering skills: ability to produce reliable, structured output and critically evaluate AI-generated code Critical mindset toward AI-generated output: knowing when to trust it, when to verify it, and when to rewrite it Passion for clean code, peer reviews, and high code quality standards Familiarity with scaling large systems — vertical scaling, single-tenant deployments Self-driven, comfortable with autonomy and open team cultures (trust > process) Experience working with or around AWS services (e.g., RDS, S3, Kubernetes, SQS, RabbitMQ) Readiness to work with Windows (WSL) Nice to have: Frontend experience (React) Familiarity with Celery, RabbitMQ, or Kafka for async task processing Contributions to open-source Python or AI projects Experience with RAG (Retrieval-Augmented Generation) pipelines and vector databases (Qdrant, Chroma, pgvector) Knowledge of LangGraph, AutoGen, or other agent orchestration frameworks Ability to create custom sub-agents and orchestrate multiple AI agents in parallel for concurrent task execution Experience integrating LLMs into Python applications via the Anthropic SDK, OpenAI SDK, or LangChain/LlamaIndex Exposure to ML/AI model lifecycle: fine-tuning, embedding generation, model evaluation 04 Tech Stack Language: Python 3.9+, JS (Typescript, React) nice to have Web / API: FastAPI, Django REST Framework, Flask, etc Databases: PostgreSQL, Redis, MongoDb, MySQL Task queues: Celery, RabbitMQ, Kafka AI/LLM: Anthropic Claude, OpenAI, LangChain, LlamaIndex, BMAD, SpecKit, OpenSpec Testing: pytest Infrastructure: Docker, GitLab CI/CD, AWS / GCP AI tooling: Claude Code, Cursor, GitHub Copilot Version control: Git (GitLab)

🏢 Summary: The offer is for a Senior Python Backend Engineer to design and maintain scalable, cloud-native backend systems on AWS, including REST APIs and AI/LLM integrations. The role focuses on distributed systems, asynchronous processing, observability, and high code quality within a modern CI/CD environment. It involves working with both serverless and containerized deployments in a collaborative, agile team. 🗂️ Requirements: 3–5+ years of professional Python backend development experience, Experience building cloud-native systems on AWS, Strong knowledge of REST API design and OpenAPI, Experience with asynchronous processing and queue-based architectures, Hands-on experience with core AWS services (Lambda, API Gateway, S3, IAM, ECS/EKS, CloudWatch), Knowledge of DynamoDB and NoSQL data modelling, Knowledge of PostgreSQL, SQL, and relational data modelling, Experience with serverless and containerized deployments, Experience integrating external APIs and third-party services, Experience with automated testing using pytest, Familiarity with CI/CD tools, Understanding of distributed systems, scalability, and reliability, Practical understanding of LLM-based or AI-driven applications, Ability to apply SOLID principles and clean code practices, Fluent English (written and spoken) 📃 Skills: Python, AWS, FastAPI, Pydantic, SQLAlchemy, boto3, REST, OpenAPI, Celery, SQS, Lambda, ECS, EKS, S3, CloudFront, IAM, SecretsManager, CloudWatch, DynamoDB, PostgreSQL, SQL, pytest, GitHubActions, Jenkins, NewRelic, Docker, Kubernetes, LLM, Cursor, Claude, Copilot 🏢 Description: We are looking for a Senior Python Backend Engineer with experience in building cloud-native backend systems on AWS. This role is focused on designing, developing, and maintaining scalable Python services, integrating AI/LLM-based capabilities, working with distributed systems, and ensuring high reliability, observability, and code quality. Your responsibilities: Design, build, and maintain backend services using Python in an AWS-based environment. Develop and maintain REST APIs together with clear OpenAPI documentation. Implement asynchronous processing and queue-based communication between services. Design data access patterns for application features using NoSQL and SQL storage. Integrate backend services with internal systems, external APIs, and AI/LLM-based components. Implement reliable communication patterns, including retries, timeouts, and circuit breakers. Build and maintain operational CLI tooling for day-to-day platform tasks (e.g. content ingestion). Contribute to architectural decisions across software and infrastructure as the stack evolves. Create observability for distributed systems, including logging, metrics, tracing, and alerting. Write automated tests and support high code quality across the backend codebase. Contribute to CI/CD processes and deployment automation. Collaborate with product, frontend, QA, DevOps, AI/ML teams, and content creators. Review code, share knowledge, and raise the bar for engineering practice across the team. We are looking for you, if you have: 3–5+ years of professional experience in Python backend development. Solid understanding of REST API design and OpenAPI standards. Experience with asynchronous processing and queue-based architectures, e.g. Celery, SQS. Experience with libraries and frameworks such as FastAPI, Pydantic, SQLAlchemy, boto3. Hands-on experience with core AWS services such as Lambda, API Gateway, S3, CloudFront, Secrets Manager, IAM, ECS/EKS, CloudWatch, etc. Good knowledge of DynamoDB and NoSQL data modelling. Good knowledge of PostgreSQL, SQL, and relational data modelling . Experience with both serverless (Lambda) and containerized (ECS/EKS) deployment models. Experience integrating with external APIs and third-party services. Experience with pytest and automated testing practices. Familiarity with CI/CD tools such as GitHub Actions and/or Jenkins. Experience with observability tools such as New Relic and CloudWatch. Understanding of distributed systems, scalability, reliability, and fault tolerance. Ability to apply SOLID principles, clean code practices, and common design patterns. Practical understanding of LLM-based applications or AI agentic frameworks. Ability to use AI development tools such as Cursor, Claude Code, or GitHub Copilot. Experience working in agile software development teams. Fluent English, both written and spoken. We offer: Participation in interesting and demanding projects. Flexible working hours. A great, non-corporate atmosphere. Possibility to work remote or hybrid (2 days per week from the office). Opportunities for development and promotion. Attractive package of benefits. We reserve the right to contact the selected candidates.

🏢 Summary: The offer is for a Python Backend Engineer to build and maintain scalable backend services and REST APIs in a collaborative product environment. The role focuses on developing clean, well-tested code and contributing to architecture and code quality from day one. It is a fully remote position with flexible contract options and long-term international projects. 🗂️ Requirements: 3+ years of professional Python experience, Strong knowledge of FastAPI, Django, or Flask, Experience with PostgreSQL, Experience with REST API design, Proficiency with Git, Experience with pytest, Experience with CI/CD workflows 📃 Skills: Python, FastAPI, Django, Flask, PostgreSQL, REST, Git, pytest, CI/CD, AWS, GCP, Azure, Docker, Kubernetes, Kafka, Redis, RabbitMQ, Poetry, uv 🏢 Description: About the role We're looking for a Python backend engineer to join a client team and build reliable, scalable services from day one. Responsibilities Design and maintain Python-based backend services and REST APIs Write clean, tested, well-documented code Collaborate with product and DevOps teams on feature delivery Participate in code reviews and architecture discussions Requirements 3+ years of professional Python experience Solid knowledge of FastAPI, Django, or Flask Experience with PostgreSQL and RESTful API design Comfortable with Git, pytest, and CI/CD workflows Good written and spoken English Nice to have AWS, GCP, or Azure Docker / Kubernetes Kafka, Redis, or RabbitMQ Poetry or uv for dependency management pre-commit hooks and code quality tooling We offer B2B contract or employment contract (umowa o pracę / umowa zlecenie) — flexible on the form Fully remote, flexible setup Long-term engagements with international clients Dedicated recruiter support through onboarding