Senior Python Engineer

🏢 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: 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: Remote Senior Python AI Developer role focused on building and scaling an AI-driven product platform. The position involves developing backend APIs, AI/ML workflows, document processing, retrieval systems, and integrating structured data into reliable, user-facing features. You will contribute across backend and frontend to deliver explainable, production-ready AI-powered solutions. 🗂️ Requirements: 5+ years professional software engineering experience, Strong experience with Python, Experience building backend APIs, Experience with FastAPI or similar frameworks, Experience with AI/ML product workflows, Experience designing and consuming API contracts and JSON schemas, Experience with asynchronous workflows and background jobs, Experience handling retries, partial failures, and process status, Commercial experience with React, Commercial experience with TypeScript, Experience writing tests for APIs and edge cases, Experience with retrieval systems, embeddings, or LLM APIs 📃 Skills: Python, FastAPI, AI, ML, APIs, JSON, React, TypeScript, LLM, OpenAI, Gemini, Anthropic, Embeddings, Vector, Firebase, Firestore, GCP, CloudRun, CloudSQL, Neo4j 🏢 Description: We are looking for a Senior Python AI Developer to build and scale an AI driven product platform in a fully remote setup. The role focuses on developing reliable product features around AI / ML workflows, document processing, retrieval systems, structured data, and user facing outputs that need to be clear, explainable, and easy to inspect. ✅ Your responsibilities: ・Developing backend APIs in Python with FastAPI , for document upload, asynchronous processing, job status, retries, partial success, and structured results. ・Building product workflows around AI outputs, retrieval systems, document processing, and structured data . ・Connecting backend services, frontend applications, data workflows, and AI generated outputs into a reliable product experience. ・Creating user facing features that make AI outputs easier to inspect through source references, confidence signals, warnings, and clear error states. ・Working with structured data, documents, tables, financial metrics, and normalized evidence flows. ・Contributing to frontend features using React and TypeScript , especially around workflow status, evidence review, recommendations, and decision outputs. ・Writing tests around API contracts, edge cases, error cases, and realistic user workflows. 🧠 Our requirements: ・5+ years of professional software engineering experience. ・Strong experience with Python and backend API development. ・Experience with modern API frameworks, ideally FastAPI or similar. ・Good understanding of AI / ML product workflows or strong interest in building software around AI outputs. ・Experience designing and consuming API contracts, schemas, and structured JSON payloads. ・Comfort with asynchronous workflows, background jobs, retries, partial failures, and user visible process status. ・Commercial experience with modern frontend applications, preferably with React and TypeScript . ・Good testing habits, especially around edge cases, failure cases, and API behavior. ・Experience with AI / ML product workflows, including retrieval systems, embeddings, vector search, LLM based applications, or LLM APIs such as OpenAI, Gemini, Anthropic / Claude. ⭐ Nice to have: ・Experience with data heavy products, including data workflows, document processing, data normalization, or working with structured evidence. ・Experience with cloud and data infrastructure, ideally Firebase, Firestore, Google Cloud Platform, Cloud Run, Cloud SQL, vector search, or Neo4j. 🌟 What we offer: ・100% remote work. ・Opportunity to work on a modern AI / ML product platform. ・Private healthcare and Multisport. ・Life insurance. ・Real influence on technical decisions and architecture. ・Exposure to modern AI, data, and product engineering challenges. ・Collaborative and supportive team environment.

🏢 Summary: Senior Full-Stack Engineer role focused on building AI-powered products and internal platforms using Python and modern frontend frameworks. The position involves developing cloud-native systems, contributing to agentic AI initiatives, and delivering secure, production-grade solutions handling sensitive data. You will work in agile teams to create end-to-end features across backend, frontend, cloud, and AI components. 🗂️ Requirements: Bachelor’s or Master’s degree in technical field, Minimum 7 years of software development experience, Senior-level experience in large tech environment, Strong backend experience with Python and FastAPI in production, Solid frontend experience with Vue or other modern JavaScript framework, Hands-on experience with AWS, Azure, or GCP, Experience with Docker or Kubernetes, Experience with SQL and NoSQL databases, Experience with messaging queues, Practical experience with AI systems in production, Understanding of agentic AI concepts or architectures, Knowledge of engineering best practices and secure coding 📃 Skills: Python, FastAPI, Django, Vue, React, Angular, Svelte, AWS, Azure, GCP, Docker, Kubernetes, SQL, NoSQL, Pinecone, AzureAISearch, CrewAI, MicrosoftAgentFramework, AWSAgentCore, A2A, MCP 🏢 Description: We’re looking for a Senior Full‑Stack 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) and modern frontend frameworks, with a preference for Vue, though 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. Solid frontend experience with Vue or another modern JavaScript framework. 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. 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. 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. Why join You’ll work on real AI products, help shape an evolving agentic ecosystem, and contribute to a modern engineering environment where innovation meets strong security and compliance standards. Your work will directly influence how AI is used across the organization.

🏢 Summary: Senior Python Backend Engineer role focused on building and scaling a platform for testing and monitoring AI agents in simulated environments. The position involves designing distributed microservices, developing high-performance REST APIs, and deploying scalable systems to production. The role requires strong architectural decision-making and experience with production-grade backend systems. 🗂️ Requirements: 7+ years of backend development experience with Python, Strong knowledge of Python 3.10+, Experience designing REST APIs, Experience building distributed systems, Experience with NoSQL databases, Experience with message queues or event-driven architectures, Experience building scalable production systems, Ability to make architectural decisions, Experience working in production environments 📃 Skills: Python, REST, Microservices, DistributedSystems, NoSQL, MongoDB, Redis, Kafka, Docker, Kubernetes, CICD, OpenTelemetry 🏢 Description: Poszukujemy Senior Python Backend Engineer do pracy przy rozwoju platformy służącej do testowania i monitorowania agentów AI w środowiskach symulacyjnych. Osoba na tym stanowisku będzie odpowiedzialna za projektowanie i rozwój skalowalnych mikroserwisów, budowę wydajnych API oraz wdrażanie rozwiązań do środowisk produkcyjnych. Rola wymaga bardzo dobrej znajomości Pythona , doświadczenia w budowie systemów rozproszonych i wysokowydajnych backendów , a także umiejętności podejmowania decyzji architektonicznych i pracy w środowisku produkcyjnym. Wymagania 7+ lat doświadczenia w backend development (Python) Bardzo dobra znajomość Python 3.10+ Doświadczenie w projektowaniu REST API i systemów rozproszonych Praca z bazami NoSQL oraz systemami kolejkowymi / event-driven Doświadczenie w budowie skalowalnych systemów produkcyjnych Komunikatywny język angielski Nice to have FastAPI, Pydantic, mypy Kafka lub inne systemy streamingowe Kubernetes, Docker, CI/CD Monitoring / observability (OpenTelemetry, metryki, SLO) Doświadczenie z systemami high-throughput Integracje z LLM / OpenAI Stack: Python, FastAPI, MongoDB, Redis, Kafka, Docker, Kubernetes, CI/CD, OpenTelemetry.

🏢 Summary: Senior Backend Engineer (Python) responsible for designing, building, and maintaining scalable backend services in production environments. The role covers end-to-end ownership from architecture design to production deployment, with strong focus on asynchronous programming and distributed systems. The position is fully remote under a B2B contract. 🗂️ Requirements: Minimum 7 years of experience with Python, Minimum 3 years of experience with Python 3.10+, Experience with asyncio and asynchronous programming, Experience building backend services in production environments, Experience designing and implementing REST APIs, Experience designing scalable distributed systems, Experience with event-driven architecture or queue-based systems, Experience designing fault-tolerant and resilient systems, Experience maintaining production systems, Production experience with NoSQL databases, Experience with data modeling, schema management, and migrations, Experience optimizing database queries and structures, End-to-end ownership from requirements analysis to production deployment, Ability to make technical decisions and manage risks, Very good English communication skills 📃 Skills: Python, Asyncio, REST, NoSQL, MongoDB, Microservices, DistributedSystems, EventDriven, Queues, Kubernetes, CI/CD, OpenTelemetry, Monitoring, SLO, AI, LLM, APIs 🏢 Description: Dla naszego klienta poszukujemy Senior Backend Engineer'a – Python! ZADANIA Senior Python Backend Engineer będzie współpracować z wewnętrznym zespołem developerskim oraz liderami technicznymi. Rola obejmuje pełną odpowiedzialność za budowanie i rozwój rozwiązań oraz wdrażanie ich do środowisk produkcyjnych. WYMAGANIA Min. 7 lat doświadczenia w pracy z Python - co najmniej 3 lata doświadczenia z wersjami 3.10 i nowszymi Asyncio, współbieżność, programowanie asynchroniczne Doświadczenie w budowie usług backendowych działających w środowisku produkcyjnym Projektowanie i implementacja REST API Projektowanie skalowalnych systemów rozproszonych Doświadczenie z architekturą zdarzeniową lub systemami opartymi o kolejki zadań Projektowanie systemów odpornych na błędy i przeciążenia Doświadczenie w utrzymaniu systemów produkcyjnych Doświadczenie produkcyjne z bazami danych (NoSQL, preferowane MongoDB) Modelowanie danych, zarządzanie schemą, migracje Optymalizacja zapytań i struktury bazy Odpowiedzialność end-to-end za dostarczane rozwiązania, od analizy i weryfikacji dostarczonych wymagań, zaprojektowanie architektury, po wdrożenie produkcyjne Umiejętność podejmowania decyzji technicznych, analizy i adresowania ryzyk Dobra/bardzo dobra komunikacja w języku angielskim MILE WIDZIANE Chmura i konteneryzacja Kubernetes i wdrożenia kontenerowe CI/CD i automatyzacja procesów wdrożeniowych Obserwowalność systemów Systemy śledzenia rozproszonego (np. OpenTelemetry) Monitorowanie oparte na metrykach i SLO Integracje AI / LLM Integracja z API modeli językowych Projektowanie pipeline’ów oceny i scoringu Zarządzanie limitami i kosztami zapytań do modeli CO OFERUJEMY NA TYM PROJEKCIE? Współpracę w oparciu o umowę B2B i stawkę: 145-165 zł/h Pracę 100% zdalną Wsparcie dedykowanego opiekuna. Po dołączeniu do speedapp, otrzymasz kontakt do dedykowanego opiekuna, który zadba, aby współpraca z nami oraz z klientem sprawiała Ci satysfakcję Wydarzenia oraz spotkania integracyjne, a także udział w różnych inicjatywach np. sportowych Dostęp do oferty benefitów (opieka medyczna, ubezpieczenie na życie, karta Multisport). JAK WYGLĄDA REKRUTACJA? Zgłoszenie : Zaaplikuj i prześlij swoje CV. Po weryfikacji aplikacji rekruter skontaktuje się telefonicznie z wybranymi kandydatami. Screening : Porozmawiaj z rekruterem speedapp o Twoim doświadczeniu . Kolejne etapy: Rekruter speedapp przedstawi Ci jak wygląda proces rekrutacji na dane stanowisko. Rekruter speedapp pozostanie z Tobą w kontakcie podczas całego procesu. O SPEEDAPP W speedapp wierzymy, że organizacja jest tak dobra jak tworzący ją ludzie. Jesteśmy zespołem ekspertów IT i innych specjalistów pracujących dla naszych klientów na całym świecie (m.in Izrael, Austria, USA). Wykraczamy daleko poza kategorię HR. Budujemy zespoły IT, a także pomagamy w ich zarządzaniu. 👉 10 lat doświadczenia 👉 +100 klientów na całym świecie +300 zatrudnień rocznie 💎 Jesteśmy laureatem prestiżowej nagrody Diamenty Forbes cztery lata z rzędu (2022, 2023, 2024, 2025), członkiem sieci Fast Growth Icons oraz FinTech Poland. MASZ PYTANIA? Skontaktuj się bezpośrednio z rekruterem odpowiedzialnym za ten proces. Karolina Kizowska Senior IT Delivery Consultant karolina.kizowska@speedapp.pl +48 608 487 448

🏢 Summary: Senior Python Engineer role focused on building and deploying enterprise-grade, AI-powered solutions in a cloud-based microservices environment for a large-scale professional services project. The position involves end-to-end development of scalable Python applications, integration of Generative AI and LLM capabilities, and technical leadership within a cross-functional team. Offered as a remote B2B contract with a competitive hourly rate. 🗂️ Requirements: 5+ years of commercial experience in software development, Strong hands-on experience with Python and FastAPI, Practical knowledge of Pydantic for schema modelling and data validation, Experience with asyncio and asynchronous/parallel programming, Experience with Generative AI and Large Language Models in real business use cases, Understanding of RAG pipelines and hybrid search with vector databases, Strong analytical and problem-solving skills, Very good organizational and self-management skills, Strong troubleshooting and communication skills, English level Intermediate+ 📃 Skills: Python, FastAPI, Pydantic, asyncio, LLM, RAG, LangChain, LangGraph, Azure, MongoDB, AzureSQL, Angular, Kendo, GitHub, Copilot, Docker, Kubernetes, .NET, ASP.NET, Microservices 🏢 Description: For our client we are looking for an experienced Senior Python Engineer to join a modern technology initiative delivered for one of the Big Four firms - the world's largest professional services network, headquartered in London and operating across more than 150 countries. The team behind this project is responsible for designing, building, and deploying enterprise-grade tools and AI-powered solutions that support tax service delivery. It is a cross-functional environment bringing together experts in software engineering, tax, project management, and change management. The scope of work includes solution design, implementation, rollout, training support, and broader stakeholder collaboration. Tech stack Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs Responsibilities Analyse business and technical requirements, contribute to system design, and support end-to-end Python and AI solution development Build, enhance, and maintain scalable Python applications using FastAPI and Pydantic Develop asynchronous and parallel processing solutions with asyncio Perform detailed code reviews to ensure consistency with engineering standards and maintain high code quality Integrate and test multi-modal GenAI capabilities, including areas such as text-to-image and text-to-audio Work effectively both independently and as part of a collaborative team Support day-to-day team coordination by giving clear guidance and helping organize ongoing work Stay in regular contact with the client and support smooth communication Provide technical leadership within the team by mentoring others, coaching colleagues, and setting a strong example Requirements 5+ years of commercial experience in software development Strong hands-on experience with Python and FastAPI Good practical knowledge of Pydantic for schema modelling and data validation Experience with asyncio and asynchronous / parallel programming Practical experience with Generative AI and Large Language Models, including building agentic AI solutions for real business use cases Good understanding of RAG pipelines and hybrid search with vector databases Strong analytical thinking and problem-solving skills, with close attention to detail Pragmatic mindset and the ability to balance process, structure, and flexibility in delivery Very good organizational skills, including self-management, prioritization, and effective work under deadlines Strong troubleshooting and communication skills English level: Intermediate+ Nice to have Experience with Azure Cloud services or other major cloud platforms, including SaaS tools such as Service Bus, Data Lake, Blob Storage, Redis, and similar solutions Familiarity with agentic protocols such as MCP and A2A Hands-on experience with the LangGraph ecosystem, especially long-term memory, state management, and human-in-the-loop workflows Familiarity with .NET Experience with Docker and Kubernetes Solid understanding of microservices architecture and scalable distributed systems Offer rate: 140 - 160 pln B2B remote

🏢 Summary: Senior Backend Python Engineer role focused on building scalable AI-powered enterprise software and owning backend services from architecture to production. The position involves backend development, distributed systems, cloud infrastructure, and technical leadership in a hybrid B2B environment. Candidates will collaborate across teams to deliver secure, high-performance applications using modern engineering and AI-assisted workflows. 🗂️ Requirements: 6+ years building production-grade backend systems, Strong Python experience, Experience with distributed systems, Knowledge of concurrency and asynchronous processing, Experience designing REST APIs, Experience with scalable architectures, Hands-on cloud platform experience, Database design and performance optimization knowledge, Experience building secure enterprise applications, Ability to own projects from design to deployment, Cross-functional collaboration skills, Strong troubleshooting and problem-solving skills, Excellent English communication skills, Experience with AI tooling and automation workflows 📃 Skills: Python, REST, AWS, GCP, Azure, SQL, TypeScript, LLM, AI, Monitoring, Logging, Observability, Automation 🏢 Description: Senior Backend Engineer (Python) 📍 Warsaw, Poland (Hybrid) ☑️ Full-time 🕦 B2B Contract 💰 $8.000 - $12.000/month We are hiring a Senior Backend Python Engineer for an innovative technology company building AI-powered enterprise software used by organizations worldwide. This role is ideal for an experienced backend engineer who enjoys designing scalable production systems, solving complex technical challenges, and taking ownership of critical backend services from architecture through production. You'll work closely with product, frontend, and platform engineers to build reliable, secure, and high-performance applications while leveraging modern AI-assisted engineering practices . As a Senior Backend Python Engineer you will provide backend development, system design, cloud infrastructure, and technical leadership in a fast-paced engineering environment where ownership and continuous improvement are highly valued. Requirements 6+ years of experience building and maintaining production-grade backend systems Strong hands-on experience with Python and modern backend development practices Strong understanding of distributed systems, concurrency, asynchronous processing, and scalable architectures Experience designing and developing REST APIs and backend services Hands-on experience with cloud platforms such as AWS, GCP, or Azure Strong knowledge of database design, performance optimization, and high-throughput applications Experience building secure, reliable enterprise applications with a security-first mindset Ability to own projects from technical design through deployment and production support Experience working closely with cross-functional engineering and product teams Strong troubleshooting, problem-solving, and communication skills Excellent written and verbal English communication skills Improve engineering leverage with AI tooling , automation, and internal workflows rather than using AI as a gimmick Nice to Have Experience building AI-powered applications, agentic systems, LLM integrations, or orchestration frameworks Experience with TypeScript or full-stack development Experience mentoring engineers or contributing to technical leadership Experience with observability, monitoring, logging, and performance optimization Experience working in fast-growing product or startup environments Responsibilities Design, develop, and maintain scalable backend services, APIs, and asynchronous processing systems Translate business requirements into robust technical solutions and scalable system designs Own services throughout their lifecycle, including deployment, monitoring, reliability, and continuous improvement Design efficient data models and optimize database performance for production workloads Collaborate with product, frontend, and platform teams to deliver end-to-end features Improve engineering productivity through automation and AI-assisted development workflows Participate in architecture discussions, code reviews, and technical decision-making Implement monitoring, logging, and observability solutions to ensure production reliability Continuously improve system scalability, performance, security, and maintainability Contribute to engineering best practices and knowledge sharing across the team

🏢 Summary: Senior Python Engineer role focused on building and enhancing scalable financial systems using Python and React within AWS cloud environments. The position combines backend and frontend development with system design, cloud integration, and test automation in high-stakes investment and treasury platforms. The role involves leading architectural decisions and refactoring initiatives in agile, distributed teams. 🗂️ Requirements: 5+ years experience with Python including FastAPI and Django, 5+ years experience with React.js and TypeScript, Strong experience with PostgreSQL and Docker, Hands-on experience with AWS cloud services, Strong commitment to test automation including unit and integration testing, Experience with microservices architecture and API design, Experience with database modeling, Experience leading refactoring of critical systems, Ability to design resilient and compliant systems, Experience working in agile teams on complex applications 📃 Skills: Python, FastAPI, Django, PostgreSQL, Docker, React, TypeScript, AWS, S3, Lambda, AKS, CloudWatch, Microservices, REST, APIs, GitHubActions, Jira, Confluence 🏢 Description: We are seeking a skilled Senior Python Engineer with experience in AWS and React to join a project for our Client, a global leader in the area of investments. Responsibilities Develop, maintain, and enhance backend services using Python frameworks (FastAPI, Django), PostgreSQL, and Docker Build and optimize frontend applications with React.js and TypeScript, ensuring seamless user experiences Champion test automation practices, implementing robust unit tests and manual integration testing to ensure code quality and reliability Collaborate within agile teams to deliver complex, high-stakes applications, contributing to iterative development and continuous improvement Participate actively in code reviews, fostering a culture of peer learning and knowledge sharing Work effectively with distributed teams across multiple time zones, ensuring clear communication and collaboration Utilize Atlassian tools (Jira, Confluence, etc.) for project tracking, documentation, and workflow management Integrate and manage native cloud services such as S3 buckets, Lambda, AWS AKS, CloudWatch to support scalable and resilient architectures Lead system design efforts, including microservices architecture, database modelling, and API design, to meet business and technical requirements Drive refactoring and redesign initiatives for critical financial systems, ensuring performance, maintainability, and scalability Architect solutions for resiliency, compliance, and auditability, specifically within Treasury and payment platforms Requirements 5+ years’ experience with Python (FastAPI, Django), PostgreSQL, Docker 5+ years’ experience with React.js, TypeScript Strong commitment to test automation, including robust unit and manual integration testing Experience working in agile teams on complex, high-stakes applications Collaborative mindset, with a commitment to code reviews and peer learning Comfortable working with teams across the globe Familiarity with Atlassian tools (Jira, Confluence, etc.) Familiarity with native cloud services (S3 buckets, Lambda, AWS AKS, CloudWatch) System design expertise across microservices, database modeling, and API design Experience leading refactoring/redesign initiatives on critical financial systems Ability to architect for resiliency, compliance, and auditability in Treasury/payment platforms Nice to have Experience with GitHub Actions, Jira - GitHub integrations, DevOps best practices Prior exposure to financial services, with domain knowledge in payments, wire transfers, account reconciliations, and cash management We offer/Benefits We gather like-minded people: Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

🏢 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.