April 24, 2026

Python Developer / Oracle Programmer

Senior • Remote

Warsaw, Poland

We are looking for an experienced Python Developer / Oracle Programmer to join a team delivering enterprise-grade business applications and scalable backend solutions. In this role, you will contribute to the development and maintenance of core systems built on Python and Oracle technologies, focusing on performance, reliability, and secure integrations.

You will work closely with cross-functional teams throughout the full development lifecycle - from design and development to maintenance and continuous improvement of business-critical applications.

💡 Your Responsibilities

  • Develop enterprise-quality products consisting of reusable core components and customizable modules.

  • Design, develop, and secure APIs for internal teams and external partners, integrated with RDBMS backends.

  • Build and maintain backend solutions using Python, PL/SQL, and shell scripting.

  • Collaborate with cross-functional teams during design, development, and maintenance phases.

  • Analyze and improve existing systems, ensuring stability, performance, and scalability.

  • Participate in troubleshooting, optimization, and ongoing system enhancements.

🧠 Requirements

  • 7+ years of experience developing and maintaining business applications.

  • Strong hands-on experience with Python, SQL/PLSQL, and shell scripting.

  • Solid experience with Oracle RDBMS (version 12+), including performance optimization and database development.

  • Good knowledge of Linux/Unix environments.

  • Experience with Git and automated testing tools such as Selenium.

  • Understanding of enterprise application architecture and API development.

  • Strong analytical, problem-solving, and communication skills.

  • Self-motivated mindset with the ability to work independently and learn quickly.

📍 Location

Poland, remote

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Warsaw, Poland

90 - 100 PLN

🏢 Summary: Senior Python Developer role focused on building microservices-based applications, productionizing Data Science and AI solutions, and deploying secure systems on Kubernetes/OpenShift environments. The position includes designing architectural standards, implementing CI/CD processes, supporting LLM/RAG projects, and collaborating closely with Data Science and security teams. 🗂️ Requirements: 5+ years of commercial Python development experience, Senior Developer or Technical Leader background, Very good knowledge of FastAPI, Experience with microservices architecture, Experience with REST API, Experience with event-driven architecture, Experience with Kafka, Knowledge of AI/data environments, Experience with at least one production LLM/RAG project, Knowledge of vLLM, LangChain, LlamaIndex or LangGraph, Practical knowledge of Docker, Experience with Kubernetes or OpenShift, Experience with CI/CD tools, Experience with unit and integration testing using pytest, Very good knowledge of Git, Experience working with code review, Ability to collaborate with Data Science teams, Ability to create technical documentation, Knowledge of application cybersecurity, Knowledge of web API and LLM-related vulnerabilities, Experience implementing secure microservice communication, Experience with secure container deployment and orchestration, Experience implementing authentication and authorization in microservices, Knowledge of observability and monitoring 📃 Skills: Python, FastAPI, REST, Kafka, Airflow, Spark, Iceberg, SQL, Oracle, S3, LLM, RAG, vLLM, LangChain, LlamaIndex, LangGraph, Docker, Podman, Kubernetes, OpenShift, CI/CD, Tekton, ArgoCD, GitLab, Azure, pytest, Git, Prometheus 🏢 Description: O projekcie Poszukujemy doświadczonego Python Developera, który będzie odpowiedzialny za projektowanie i rozwój aplikacji opartych o architekturę mikroserwisową oraz produkcjonalizację rozwiązań przygotowywanych przez zespół Data Science. Rola obejmuje również współtworzenie standardów architektonicznych, wsparcie merytoryczne zespołu oraz współpracę z obszarem bezpieczeństwa. Twój zakres obowiązków projektowanie i implementacja aplikacji w Pythonie w architekturze mikroserwisowej produkcjonalizacja rozwiązań przygotowanych przez zespół Data Science (RAG, serwisy udostępniające modele ML) współtworzenie standardów i wzorców architektonicznych dla zespołu wdrażanie aplikacji na platformie OpenShift / Kubernetes z wykorzystaniem firmowego pipeline'u CI/CD współpraca z zespołem bezpieczeństwa w zakresie wdrożeń, dostępów oraz polityk bezpieczeństwa przeprowadzanie code review pair programming oraz wsparcie merytoryczne zespołu Data Science prowadzenie wewnętrznych sesji wiedzy z zakresu Python, mikroserwisów i bezpieczeństwa aplikacji przygotowywanie dokumentacji technicznej (ADR, README, kontrakty API) Nasze wymagania minimum 5 lat komercyjnego doświadczenia w programowaniu w Pythonie na stanowisku Senior Developera lub Technical Leadera bardzo dobra znajomość FastAPI doświadczenie w projektowaniu systemów opartych o architekturę mikroserwisową doświadczenie z REST API, architekturą event-driven oraz Kafka znajomość środowiska data/AI (np. Airflow, Spark, Iceberg, Kafka, MS SQL, Oracle, S3) doświadczenie w co najmniej jednym produkcyjnym projekcie wykorzystującym LLM / RAG znajomość rozwiązań takich jak vLLM, LangChain, LlamaIndex, LangGraph lub rozwiązań równoważnych praktyczna znajomość Docker (preferowany również Podman) doświadczenie z Kubernetes lub OpenShift doświadczenie z CI/CD (Tekton, ArgoCD, GitLab, Azure DevOps) praktyka w tworzeniu testów jednostkowych i integracyjnych z wykorzystaniem pytest bardzo dobra znajomość Git oraz pracy w modelu code review umiejętność współpracy z zespołem Data Science umiejętność tworzenia dokumentacji technicznej (API, README, ADR) samodzielność i proaktywność znajomość zasad cyberbezpieczeństwa aplikacji znajomość podatności aplikacji webowych, API oraz zagrożeń charakterystycznych dla aplikacji opartych o LLM doświadczenie w implementacji bezpiecznej komunikacji mikroserwisów doświadczenie w bezpiecznym wdrażaniu i orkiestracji kontenerów doświadczenie w implementacji mechanizmów uwierzytelniania i autoryzacji w mikroserwisach znajomość zagadnień observability (strukturalne logowanie, metryki, np. Prometheus)