Senior Python Engineer (with Go knowledge)

🏢 Summary: Senior Java Engineer role in a product team building a large-scale endpoint protection and detection platform. The position focuses on designing and developing scalable backend services within a distributed, microservices-based architecture deployed in the cloud. The engineer will contribute to a high-impact cybersecurity solution running across multiple operating systems. 🗂️ Requirements: 5+ years of software engineering experience, Proficiency in Java, Experience with large-scale distributed systems, Experience with microservices architecture, Experience with AWS and/or GCP, Experience with Kubernetes, Experience with Kafka or similar messaging systems 📃 Skills: Java, Go, Python, AWS, GCP, Kubernetes, Kafka, Microservices, REST, SQL 🏢 Description: N-iX is looking for a Senior Java Engineer (with Go/Python) to join a collaborative product team of around 8 engineers working on a complex, high-impact software platform. You’ll contribute across the stack, building scalable backend services and intuitive frontend experiences, while actively using AI-powered development tools to improve productivity and code quality. The team follows Agile best practices, values clean architecture, ownership, and continuous improvement. As an engineer, you’ll help to develop the platform that serves as an enterprise next-generation endpoint protection (EPP) + endpoint detection & response (EDR) solution that runs on Windows (as well as macOS, Linux, servers, etc.). It comes as a single, unified agent designed to prevent, detect, respond, and remediate cyber threats, including malware, ransomware, fileless attacks, and advanced persistent threats — all in real time. Responsibilities: Design, develop, and maintain backend services Collaborate closely with backend, frontend, and QA engineers in an Agile/Scrum environment Write clean, testable, and well-documented code Integrate and work with APIs, data stores, and third-party services Use AI-assisted development tools (e.g., code assistants, testing tools, analysis tools) to improve delivery speed and quality Support production systems and participate in troubleshooting when needed Requirements: 5+ years of extensive software engineering experience Proficiency in Java Proven expertise in developing large-scale distributed systems and microservices architecture, with a focus on performance, scalability, and reliability Experience with cloud platforms (AWS and/or GCP) and Kubernetes (must) Experience with Kafka or similar solutions Experience with Python or Go is nice to have. Excellent problem-solving skills Strong communication skills and ability to articulate technical concepts and influence engineering direction across teams, departments, and stakeholders Upper-intermediate level English

🏢 Summary: Senior Python Engineer role focused on building AI-powered products and internal platforms using Python and modern cloud technologies. The position involves developing secure, production-grade backend systems, contributing to frontend components, and implementing AI-driven solutions such as agentic systems and vector search. Work is delivered in agile teams with strong emphasis on cloud-native architecture and high engineering standards. 🗂️ Requirements: Bachelor’s or Master’s degree in technical field, 7+ years software development experience, Senior-level experience in large tech environment, Strong Python backend experience, Production experience with FastAPI, Hands-on experience with cloud platforms, Experience with Docker or Kubernetes, Experience with SQL and NoSQL databases, Experience with messaging queues, Practical experience with AI systems in production 📃 Skills: Python, FastAPI, Django, Vue, React, Angular, Svelte, AWS, Azure, GCP, Docker, Kubernetes, SQL, NoSQL, Pinecone, CrewAI, MCP, A2A, Microservices 🏢 Description: We’re looking for a Senior Python Engineer to help build AI‑powered products and internal platforms used across the company. You’ll join a fast‑moving engineering team where AI accelerates development, improves productivity, and shapes how new solutions are delivered. Security, compliance, and high engineering standards are essential, especially for production systems handling sensitive data. What you’ll do Build end‑to‑end features using Python (FastAPI, Django) as your primary backend stack. Contribute to frontend development when needed — experience with Vue is a plus, but React, Angular, or Svelte are also welcome. Develop cloud‑native systems on AWS, Azure, or GCP, working with containers, databases, and messaging systems. Contribute to AI initiatives, including agentic systems, vector search, and prompt‑driven workflows. Work in small, agile squads with the flexibility to move between projects as priorities evolve. Required qualifications Bachelor’s or Master’s degree in a technical field. At least 7 years of software development experience, including senior‑level work in a large tech environment. Strong backend experience with Python and FastAPI, with proven production delivery. Frontend experience is a plus (Vue preferred, but any modern JavaScript framework is welcome). Hands‑on experience with cloud platforms, Docker or Kubernetes, SQL and NoSQL databases, and messaging queues. Practical experience working with AI systems or AI‑driven features in production environments. Preferred qualifications Experience with vector databases such as Pinecone or Azure AI Search. Knowledge of prompt engineering, context management, and LLM‑driven workflows. Experience with agentic AI frameworks such as CrewAI, Microsoft Agent Framework, or AWS Agent Core. Familiarity with agentic protocols like A2A or MCP. Background in distributed systems and microservices. Experience working in agile teams. Understanding of agentic AI concepts or hands‑on exposure to agent‑based architectures. Strong grasp of engineering best practices, design patterns, and secure coding. Clear communication skills and the ability to explain technical concepts.

🏢 Summary: Senior Python Software Developer role focused on building and optimizing AI and machine learning solutions for scalable automotive claims processing systems. The position involves backend development, AI model integration, performance optimization, and collaboration with Data Scientists using modern cloud and DevOps technologies. 🗂️ Requirements: Degree in IT, physics, mathematics, or related field, 3+ years of Python development experience, Strong backend development experience, Hands-on experience with FastAPI and core Python, Basic understanding of machine learning, SQL knowledge, Experience with REST APIs, Experience with DevOps tools and CI/CD, Fluent written and spoken English 📃 Skills: Python, FastAPI, NumPy, OpenCV, AWS, SQL, GitLab, Docker, Kubernetes, Triton, REST, OpenAPI, Swagger, PyTorch, Haystack, LangChain 🏢 Description: About the project: Our client is an established market leader who has been processing over 18 million vehicle claims per year since 2002, with more than 1,000 employees worldwide. They combine AI-based processes and the latest technologies with automotive expertise. Responsibilities: - Design and implement software solutions in Python in the field of artificial intelligence and machine learning. - Conceptualize and test scalable applications and services that meet customer requirements. - Work closely with Data Scientists and Developers to integrate AI models into existing systems. - Analyze and optimize the performance of AI applications to maximize efficiency and effectiveness. - Contribute to the continuous development and improvement of development processes and methods. Requirements: - Degree in IT, physics, mathematics, or a related field, preferably complemented by a computer science degree. - Three or more years of experience in Python development. - Solid backend development experience. - Hands-on knowledge of FastAPI and core Python. - Basic understanding of machine learning and SQL. - Excellent analytical and problem-solving skills. - Ability to work independently and stay organized. - Strong teamwork skills. - Fluent written and spoken English. Technical skills: - Experience with Python, including NumPy, OpenCV, and FastAPI. - Experience with AWS ML services. - Experience with DevOps tools including GitLab CI/CD, Docker, Kubernetes, and NVIDIA Triton. - Experience with backend development technologies including REST API, OpenAPI, and Swagger. Nice-to-have: - Experience with AI frameworks. - Experience with LLM frameworks such as Haystack and LangChain. - Experience with PyTorch.

🏢 Summary: Senior Python Engineer role focused on owning backend architecture, leading technical decisions, and delivering scalable high-load systems with AI-powered features such as chatbots and voice-to-text integrations. The position combines hands-on backend development with team leadership, emphasizing architecture, scalability, and production reliability. You will drive backend strategy, mentor engineers, and ensure robust AI/LLM integrations aligned with product goals. 🗂️ Requirements: 5+ years of software development experience, Strong hands-on experience with Python 3 and asynchronous programming, Experience with FastAPI or Django DRF, Experience designing microservices or modular architectures, Strong knowledge of PostgreSQL, Experience with Redis or MongoDB, Experience with vector databases, Experience with pytest and TDD/BDD principles, Experience with Docker and CI/CD pipelines, Experience with Kubernetes, Experience with AWS or GCP or Azure, Knowledge of clean code and SOLID principles, Experience with typing and type checking, Experience with scalability and production monitoring, Experience building GenAI or LLM-powered products 📃 Skills: Python, FastAPI, Django, PostgreSQL, Redis, MongoDB, Qdrant, pytest, Docker, Kubernetes, AWS, GCP, Azure, CI/CD, mypy, Pydantic, LangChain, LlamaIndex, LLaMA, Mistral, Mixtral 🏢 Description: We are looking for Senior Python Engineer to take ownership of backend architecture, technical leadership, code quality, and team development. You will work on complex backend systems, design scalable architectures, and lead a talented engineering team, collaborating closely with business stakeholders to translate requirements into robust technical solutions. You will play a key role in shaping the product roadmap, making strategic architecture decisions, and ensuring that delivery aligns with business goals. A key component of the initiative is the development of internal AI-powered capabilities, including a generic chatbot and voice-to-text features. You will provide technical leadership for AI integrations, ensuring scalable, maintainable, and performant systems. Basic German is a plus, but your expertise in strategy, technical leadership, and hands-on delivery is what matters most. Why Join Us: Lead a high-impact project with real public-sector relevance Take ownership of architecture and system design end-to-end Influence the product roadmap and technical direction Work with a talented, collaborative engineering team Contribute to AI-driven, innovative features with large-scale impact Responsibilities: Own backend architecture and technical decisions for scalable, high-load systems Lead the team in designing, implementing, and maintaining backend services and APIs Guide technical design reviews, code quality, and engineering best practices Balance hands-on development (~40–60%) with leadership and mentoring (~40–60%) Oversee scalability, performance optimization, and reliability of production systems Lead incident response, bug fixing, and production issue resolution Provide technical guidance for AI/LLM-powered features, such as chatbots and voice-to-text integration Collaborate closely with Product, Frontend, and AI/ML teams to translate requirements into technical solutions Drive adoption of observability, monitoring, and testing standards across the team Mentor and support engineers to foster team growth and knowledge sharing Must-Have Skills: 5+ years experience in Software Development Strong product mindset with experience in team organization, task prioritization, and project planning Ability to make and own technical and architectural decisions Strong problem-solving and proactive approach Excellent communication and interpersonal skills for cross-team collaboration Strong analytical and organizational abilities; able to manage dependencies, risks, and cross-team planning Hands-on experience with Python 3, including asynchronous programming Experience with backend frameworks (FastAPI, Django DRF) Experience designing and developing microservices or modular architectures Strong knowledge of relational (PostgreSQL) and NoSQL (Redis, MongoDB) databases Experience with vector storage (e.g., Qdrant) Understanding of testing strategies (pytest, TDD/BDD principles) Familiarity with Docker, CI/CD pipelines, and production deployments Strong experience with Kubernetes and cloud platforms (AWS, GCP, Azure) Knowledge of clean code principles, SOLID, typing (mypy, Pydantic) Experience with scalability, production monitoring, and incident management Experience building GenAI or LLM-powered products Nice-to-Have Skills: Experience with public-sector or government digital transformation projects Familiarity with LangChain, LlamaIndex, or similar tooling Experience with open-source LLMs (LLaMA, Mistral, Mixtral) Experience in high-growth startup environments Knowledge of cost optimization for AI inference and infrastructure Basic German language skills for team onboarding and future customer projects

🏢 Summary: Senior Backend Engineer role focused on building and improving a cloud-based security platform for large-scale forensic investigations and incident response. The position emphasizes backend development and infrastructure enhancements to enable scalable, reliable systems across millions of endpoints. You will collaborate on architecture and deliver backend features and integrations across distributed services. 🗂️ Requirements: 7+ years backend development experience, Proficiency in Python, Go, Java or similar language, Experience with CI/CD systems, Experience with AWS or GCP, Experience with Terraform, Experience with relational databases, Strong understanding of backend architecture, Strong understanding of distributed systems, Upper Intermediate English level 📃 Skills: Python, Go, Java, CI/CD, AWS, GCP, Terraform, SQL, Databases, DistributedSystems, Backend, Cloud 🏢 Description: N-iX is looking for a Senior Backend Engineer to join our team. Together with the client’s team, you’ll be building a next-generation cloud-based security platform as a backend engineer with strong infrastructure expertise. The team is working on products that enable security teams to orchestrate forensic investigations, run custom scripts at scale, and respond rapidly to cyber threats across millions of endpoints. The platform powers automated forensic evidence collection, customizable forensic profiles, and streamlined incident response workflows - all within a unified console alongside EDR data. This role focuses on improving infrastructure and backend systems to help the team ship faster and more reliably. Responsibilities : Drive developer experience initiatives that improve team velocity Implement backend features and integrations across multiple services Collaborate with the team on architectural decisions and code reviews Work independently while aligning with team priorities Requirements : 7+ years of backend development experience Proficiency in Python (preferably) , Go, Java, or any similar language Experience with CI/CD systems, clouds (AWS/GCP) Experience with Terraform Experience with relational databases Strong understanding of backend architecture and distributed systems Strong communication skills and ability to work in hybrid/remote teams Self-directed with the ability to drive initiatives independently At least Upper Intermediate English level Nice to have: Kafka and event-driven architectures E2E and integration testing strategies Kubernetes and container orchestration

🏢 Summary: Senior Backend Engineer role focused on building and improving a cloud-based security platform that enables large-scale forensic investigations and incident response across millions of endpoints. The position emphasizes backend development and infrastructure enhancements to increase system reliability and team velocity. You will implement backend features, integrations, and contribute to architectural decisions within a distributed environment. 🗂️ Requirements: 7+ years of backend development experience, Proficiency in Python, Experience with CI/CD systems, Experience with AWS or GCP, Experience with Terraform, Experience with relational databases, Strong understanding of backend architecture, Strong understanding of distributed systems, Upper Intermediate English level 📃 Skills: Python, AWS, GCP, Terraform, CI/CD, SQL, Java, Go, Kafka, Kubernetes, Docker 🏢 Description: N-iX is looking for a Senior Backend Engineer to join our team. Together with the client’s team, you’ll be building a next-generation cloud-based security platform as a backend engineer with strong infrastructure expertise. The team is working on products that enable security teams to orchestrate forensic investigations, run custom scripts at scale, and respond rapidly to cyber threats across millions of endpoints. The platform powers automated forensic evidence collection, customizable forensic profiles, and streamlined incident response workflows - all within a unified console alongside EDR data. This role focuses on improving infrastructure and backend systems to help the team ship faster and more reliably. Responsibilities : Drive developer experience initiatives that improve team velocity Implement backend features and integrations across multiple services Collaborate with the team on architectural decisions and code reviews Work independently while aligning with team priorities Requirements : 7+ years of backend development experience Proficiency in Python Experience with CI/CD systems, clouds (AWS/GCP) Experience with Terraform Experience with relational databases Experience with Java or Go is nice to have. Strong understanding of backend architecture and distributed systems Strong communication skills and ability to work in hybrid/remote teams Self-directed with the ability to drive initiatives independently At least Upper Intermediate English level Nice to have: Kafka and event-driven architectures E2E and integration testing strategies Kubernetes and container orchestration

🏢 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: Oferta dla Senior Python Developera obejmuje rozwój i utrzymanie nowoczesnych systemów backendowych, projektowanie architektury oraz integrację usług w środowisku mikroserwisowym. Rola zakłada pracę z Pythonem, bazami danych, Dockerem i Kubernetes oraz udział w optymalizacji wydajności i mentoringu zespołu. Praca realizowana jest w modelu zdalnym z możliwością rozwoju zawodowego i udziału w innowacyjnych projektach. 🗂️ Requirements: Minimum 5 lat komercyjnego doświadczenia z Python, Znajomość Django lub FastAPI lub Flask, Doświadczenie z REST API, Znajomość SOLID, Znajomość DRY, Znajomość KISS, Doświadczenie z PostgreSQL lub MySQL, Znajomość Linux, Doświadczenie z WebSocket, Znajomość Jenkins lub GitLab CI lub GitHub Actions, Doświadczenie z architekturą mikroserwisową, Znajomość Elasticsearch, Znajomość Redis, Znajomość bezpieczeństwa aplikacji, Doświadczenie z Prometheus, Doświadczenie z Grafana, Doświadczenie z integracją systemów zewnętrznych, Podstawowa znajomość JavaScript, Umiejętność optymalizacji wydajności aplikacji backendowych, Znajomość języka angielskiego na poziomie B2 📃 Skills: Python, Django, FastAPI, Flask, REST, SQL, PostgreSQL, MySQL, Linux, WebSocket, Jenkins, GitLab, GitHub, Docker, Kubernetes, Elasticsearch, Redis, Prometheus, Grafana, JavaScript 🏢 Description: Poszukujemy doświadczonego Senior Python Developera , który dołączy do zespołu rozwijającego nowoczesne systemy backendowe. Szukamy osoby, która nie tylko tworzy wysokiej jakości kod, ale również aktywnie uczestniczy w projektowaniu architektury, podejmowaniu decyzji technicznych oraz wspiera rozwój zespołu poprzez dzielenie się wiedzą i dobrymi praktykami programistycznymi. Twoje zadania Projektowanie, rozwój oraz utrzymanie aplikacji backendowych tworzonych w języku Python. Współtworzenie architektury systemów oraz udział w analizie i doborze optymalnych rozwiązań technologicznych. Analiza wyzwań technicznych i biznesowych oraz proponowanie skutecznych rozwiązań wspierających realizację celów projektu. Tworzenie i rozwijanie testów automatycznych zapewniających wysoką jakość oprogramowania. Dbanie o jakość, wydajność, bezpieczeństwo i łatwość utrzymania rozwijanych aplikacji. Projektowanie oraz optymalizacja relacyjnych baz danych i zapytań SQL. Przygotowywanie oraz utrzymywanie środowisk opartych o Docker i Kubernetes. Integracja aplikacji z zewnętrznymi systemami i usługami z wykorzystaniem REST API oraz systemów kolejkowych. Tworzenie i aktualizacja dokumentacji technicznej oraz architektonicznej. Współpraca z interesariuszami przy analizie wymagań oraz wdrażaniu nowych funkcjonalności. Wsparcie merytoryczne zespołu, mentoring mniej doświadczonych programistów oraz dzielenie się wiedzą. Identyfikowanie potencjalnych ryzyk technicznych i rekomendowanie działań ograniczających ich wpływ na projekt. Analiza i optymalizacja wydajności aplikacji backendowych oraz ich infrastruktury. Nasze oczekiwania Minimum 5 lat komercyjnego doświadczenia w tworzeniu aplikacji w języku Python. Bardzo dobra znajomość przynajmniej jednego z frameworków: Django, FastAPI lub Flask. Doświadczenie w projektowaniu, implementacji i rozwijaniu usług REST API. Znajomość wzorców projektowych oraz zasad tworzenia czystego kodu, takich jak SOLID, DRY i KISS. Praktyczne doświadczenie w projektowaniu relacyjnych baz danych oraz pracy z PostgreSQL lub MySQL. Dobra znajomość środowiska Linux i pracy z systemami opartymi na tym systemie operacyjnym. Doświadczenie w implementacji komunikacji z wykorzystaniem WebSocket. Znajomość narzędzi takich jak Jenkins, GitLab CI lub GitHub Actions. Doświadczenie w projektowaniu i rozwijaniu aplikacji opartych na architekturze mikroserwisowej. Praktyczna znajomość technologii NoSQL, w szczególności Elasticsearch oraz Redis. Znajomość dobrych praktyk z zakresu bezpieczeństwa aplikacji. Doświadczenie w monitorowaniu aplikacji i infrastruktury z wykorzystaniem narzędzi takich jak Prometheus i Grafana. Doświadczenie w integracji z systemami zewnętrznymi. Podstawowa znajomość JavaScript. Umiejętność diagnozowania problemów wydajnościowych i optymalizacji działania aplikacji backendowych. Znajomość języka angielskiego na poziomie B2. Oferujemy Pracę w modelu zdalnym Możliwość rozwoju zawodowego oraz udziału w innowacyjnych projektach. Preferencyjne pakiety do wykupienia w programach Multisport oraz Lux Med. Przyjazną atmosferę pracy i dużą samodzielność w realizacji powierzonych zadań. Zainteresowała Cię ta oferta? Prześlij swoje CV i porozmawiajmy o szczegółach. Chętnie opowiemy więcej o projekcie oraz odpowiemy na wszystkie Twoje pytania :)

🏢 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 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)