Senior Python Engineer

🏢 Summary: Senior Python Engineer role focused on building and maintaining Python applications for AI and automation use cases in the financial domain. The position involves developing data pipelines, collaborating on machine learning model lifecycle, and delivering scalable solutions within a cross-functional team. Hybrid work model with office presence in Wroclaw three days per week. 🗂️ Requirements: Strong proficiency in Python, Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Keras, Scikit-learn), Solid understanding of linear algebra, probability, statistics, calculus, Practical experience with Pandas and NumPy, Knowledge of supervised, unsupervised, and reinforcement learning algorithms, Experience with debugging, testing, and Git-based version control 📃 Skills: Python, TensorFlow, PyTorch, Keras, Scikit-learn, Pandas, NumPy, Git, AI, ML, NLP, ComputerVision, C++, Java, R 🏢 Description: We are seeking a skilled Senior Python Engineer to join a Project for our Client, a global leader in the area of banking, investments and financial services. This position offers a hybrid model of work, with 3 days per week working from the office located in Wroclaw. Responsibilities Build and maintain Python applications supporting AI and automation use cases Develop data preprocessing, transformation, and feature engineering pipelines Collaborate on training, evaluating, and deploying machine learning models Implement best practices in testing, version control, and code quality Work within a cross-functional POD to deliver scalable, reliable solutions Requirements Strong proficiency in Python Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Keras, Scikit-learn) Solid understanding of linear algebra, probability, statistics, and calculus Practical experience with Pandas, NumPy, and data manipulation workflows Familiarity with ML algorithms (supervised, unsupervised, reinforcement learning) Exposure to deep learning, NLP, or computer vision is beneficial Strong debugging, testing, and Git-based version control skills Nice to have C++, Java or R Language experience 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 Data Platform Engineer role focused on designing, building, and operating scalable, highly available data persistence systems for distributed services. The position combines backend engineering, platform reliability, and cloud-native data infrastructure to improve performance, scalability, and observability of global data ecosystems. Hybrid work model with competitive salary and comprehensive benefits. 🗂️ Requirements: 5+ years of software engineering experience in production systems, Strong backend engineering skills (Python, Java, or Kotlin), Experience with large-scale, data-intensive systems, Solid understanding of distributed systems fundamentals, Experience in cloud environments (AWS preferred), Experience with relational or NoSQL databases, Hands-on experience with large-scale data pipelines, Experience with event-driven or streaming architectures, Understanding of end-to-end data flow (ingestion, transformation, storage, access), Experience designing scalable and reliable data systems 📃 Skills: Python, Java, Kotlin, Kafka, Spark, PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch, AWS, Terraform, ETL 🏢 Description: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. We are looking for a Senior Data Platform Engineer to join the Datastores team. This team is responsible for building and operating the core data persistence layer used by application services across the organization. In this role, you will design and improve the systems that store, access, and scale critical data across distributed services. It is a hands-on engineering position where you will work at the intersection of backend engineering, platform reliability, and cloud-native data infrastructure. Your work will directly influence the scalability, performance, and reliability of the company’s global data ecosystem. Key takeaways: Stack: Python, Kafka, Spark, PostgreSQL, AWS Salary: 23.000 - 30 000 PLN gross per month on Employment Contract Working model: hybrid - 3x weekly from the office Location: ul. Grzybowska 60, Warsaw Recruitment process: A call with Motife recruiter (30 min) Coding Interview (1h) Interview panel: architecture & system design discussion; Hiring Manager meeting (up to 2h in total) Responsibilities: Data Infrastructure Engineering Design, build, and operate backend systems that rely on scalable and highly available data persistence layers. Contribute to architectural decisions around distributed data systems, multi-region persistence, and global scalability. Improve the reliability and performance of production datastores used by critical services. Data Performance & Optimization Partner with service teams to improve database schema design, query performance, and data modelling. Optimize data access patterns and indexing strategies for relational and NoSQL databases. Support teams in designing systems that scale efficiently under high load. Developer Experience & Platform Tooling Build and maintain self-service tooling that enables engineers to provision and manage databases and caching layers. Contribute to infrastructure automation using tools such as Terraform and internal developer platforms. Improve observability and operational insight into datastore performance and reliability. Platform Reliability & Observability Implement monitoring, metrics, and tracing strategies to improve visibility into production data systems. Develop autoscaling and performance optimization strategies for critical data infrastructure. Support operational excellence by reducing manual processes and improving system resilience. Requirements: Technical Expertise 5+ years of experience in software engineering, building and operating production systems Strong backend engineering fundamentals (e.g. Python, Java, or Kotlin) Experience working with large-scale, data-intensive systems Solid understanding of distributed systems fundamentals (e.g. scalability, latency, reliability, data consistency) Experience working in cloud environments (preferably AWS) Familiarity with relational or NoSQL databases (e.g. PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch) Data Systems & Architecture Hands-on experience with large-scale data pipelines and data processing systems Exposure to event-driven architectures, streaming or batch processing (e.g. Kafka, Spark, ETL workflows) Understanding of end-to-end data flow: ingestion (how data enters the system) transformation (how it is processed) storage & access (how other services consume it) Experience designing systems where data performance, scalability, and reliability are critical Collaboration & Engineering Mindset Ability to work cross-functionally with service teams to improve system design and data access patterns. Strong problem-solving skills with a focus on performance, scalability, and reliability. Clear communication skills and a collaborative engineering approach. What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If you’re excited about building developer platforms that scale, empower teams, and set new standards for engineering excellence, we’d love to hear from you. Apply via our careers page and please submit your CV in English .

🏢 Summary: Senior Data Platform Engineer role focused on designing, building, and operating scalable, highly available data persistence systems for distributed services. The position combines backend engineering, cloud-native infrastructure, and data platform reliability to improve performance and scalability of global data systems. It is a hands-on role working with large-scale data pipelines, streaming, and cloud environments. 🗂️ Requirements: 5+ years of software engineering experience in production systems, Strong backend programming skills in Python, Java, or Kotlin, Experience with large-scale, data-intensive systems, Solid understanding of distributed systems fundamentals, Experience with cloud environments, preferably AWS, Experience with relational or NoSQL databases, Hands-on experience with large-scale data pipelines, Experience with event-driven architectures or streaming systems, Understanding of end-to-end data flow and data modeling, Experience designing scalable and reliable data systems, Experience with infrastructure automation tools 📃 Skills: Python, Java, Kotlin, Kafka, Spark, PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch, AWS, Terraform, ETL 🏢 Description: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. We are looking for a Senior Data Platform Engineer to join the Datastores team. This team is responsible for building and operating the core data persistence layer used by application services across the organization. In this role, you will design and improve the systems that store, access, and scale critical data across distributed services. It is a hands-on engineering position where you will work at the intersection of backend engineering, platform reliability, and cloud-native data infrastructure. Your work will directly influence the scalability, performance, and reliability of the company’s global data ecosystem. Key takeaways: Stack: Python, Kafka, Spark, PostgreSQL, AWS Salary: 23.000 - 30 000 PLN gross per month on Employment Contract Working model: hybrid - 3x weekly from the office Location: ul. Grzybowska 60, Warsaw Recruitment process: A call with Motife recruiter (30 min) Coding Interview (1h) Interview panel: architecture & system design discussion; Hiring Manager meeting (up to 2h in total) Responsibilities: Data Infrastructure Engineering Design, build, and operate backend systems that rely on scalable and highly available data persistence layers. Contribute to architectural decisions around distributed data systems, multi-region persistence, and global scalability. Improve the reliability and performance of production datastores used by critical services. Data Performance & Optimization Partner with service teams to improve database schema design, query performance, and data modelling. Optimize data access patterns and indexing strategies for relational and NoSQL databases. Support teams in designing systems that scale efficiently under high load. Developer Experience & Platform Tooling Build and maintain self-service tooling that enables engineers to provision and manage databases and caching layers. Contribute to infrastructure automation using tools such as Terraform and internal developer platforms. Improve observability and operational insight into datastore performance and reliability. Platform Reliability & Observability Implement monitoring, metrics, and tracing strategies to improve visibility into production data systems. Develop autoscaling and performance optimization strategies for critical data infrastructure. Support operational excellence by reducing manual processes and improving system resilience. Requirements: Technical Expertise 5+ years of experience in software engineering, building and operating production systems Strong backend engineering fundamentals (e.g. Python, Java, or Kotlin) Experience working with large-scale, data-intensive systems Solid understanding of distributed systems fundamentals (e.g. scalability, latency, reliability, data consistency) Experience working in cloud environments (preferably AWS) Familiarity with relational or NoSQL databases (e.g. PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch) Data Systems & Architecture Hands-on experience with large-scale data pipelines and data processing systems Exposure to event-driven architectures, streaming or batch processing (e.g. Kafka, Spark, ETL workflows) Understanding of end-to-end data flow: ingestion (how data enters the system) transformation (how it is processed) storage & access (how other services consume it) Experience designing systems where data performance, scalability, and reliability are critical Collaboration & Engineering Mindset Ability to work cross-functionally with service teams to improve system design and data access patterns. Strong problem-solving skills with a focus on performance, scalability, and reliability. Clear communication skills and a collaborative engineering approach. What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If you’re excited about building developer platforms that scale, empower teams, and set new standards for engineering excellence, we’d love to hear from you. Apply via our careers page and please submit your CV in English .

🏢 Summary: Senior Data Platform Engineer role focused on designing, building, and operating scalable, highly available data persistence systems for distributed services. The position combines backend engineering, cloud-native infrastructure, and data platform reliability to support global, data-intensive applications. The engineer will enhance performance, scalability, and observability of production datastores across a multi-region environment. 🗂️ Requirements: 5+ years of software engineering experience in production systems, Strong backend programming skills (Python, Java, or Kotlin), Experience with large-scale, data-intensive systems, Solid understanding of distributed systems fundamentals, Experience with cloud environments, preferably AWS, Hands-on experience with relational or NoSQL databases, Experience with large-scale data pipelines and data processing systems, Experience with event-driven architectures or streaming/batch processing, Understanding of end-to-end data flow (ingestion, transformation, storage, access), Experience designing scalable, high-performance, reliable data systems 📃 Skills: Python, Java, Kotlin, Kafka, Spark, PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch, AWS, Terraform, ETL 🏢 Description: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. We are looking for a Senior Data Platform Engineer to join the Datastores team. This team is responsible for building and operating the core data persistence layer used by application services across the organization. In this role, you will design and improve the systems that store, access, and scale critical data across distributed services. It is a hands-on engineering position where you will work at the intersection of backend engineering, platform reliability, and cloud-native data infrastructure. Your work will directly influence the scalability, performance, and reliability of the company’s global data ecosystem. Key takeaways: Stack: Python, Kafka, Spark, PostgreSQL, AWS Salary: 23.000 - 30 000 PLN gross per month on Employment Contract Working model: hybrid - 3x weekly from the office Location: ul. Grzybowska 60, Warsaw Recruitment process: A call with Motife recruiter (30 min) Coding Interview (1h) Interview panel: architecture & system design discussion; Hiring Manager meeting (up to 2h in total) Responsibilities: Data Infrastructure Engineering Design, build, and operate backend systems that rely on scalable and highly available data persistence layers. Contribute to architectural decisions around distributed data systems, multi-region persistence, and global scalability. Improve the reliability and performance of production datastores used by critical services. Data Performance & Optimization Partner with service teams to improve database schema design, query performance, and data modelling. Optimize data access patterns and indexing strategies for relational and NoSQL databases. Support teams in designing systems that scale efficiently under high load. Developer Experience & Platform Tooling Build and maintain self-service tooling that enables engineers to provision and manage databases and caching layers. Contribute to infrastructure automation using tools such as Terraform and internal developer platforms. Improve observability and operational insight into datastore performance and reliability. Platform Reliability & Observability Implement monitoring, metrics, and tracing strategies to improve visibility into production data systems. Develop autoscaling and performance optimization strategies for critical data infrastructure. Support operational excellence by reducing manual processes and improving system resilience. Requirements: Technical Expertise 5+ years of experience in software engineering, building and operating production systems Strong backend engineering fundamentals (e.g. Python, Java, or Kotlin) Experience working with large-scale, data-intensive systems Solid understanding of distributed systems fundamentals (e.g. scalability, latency, reliability, data consistency) Experience working in cloud environments (preferably AWS) Familiarity with relational or NoSQL databases (e.g. PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch) Data Systems & Architecture Hands-on experience with large-scale data pipelines and data processing systems Exposure to event-driven architectures, streaming or batch processing (e.g. Kafka, Spark, ETL workflows) Understanding of end-to-end data flow: ingestion (how data enters the system) transformation (how it is processed) storage & access (how other services consume it) Experience designing systems where data performance, scalability, and reliability are critical Collaboration & Engineering Mindset Ability to work cross-functionally with service teams to improve system design and data access patterns. Strong problem-solving skills with a focus on performance, scalability, and reliability. Clear communication skills and a collaborative engineering approach. What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If you’re excited about building developer platforms that scale, empower teams, and set new standards for engineering excellence, we’d love to hear from you. Apply via our careers page and please submit your CV in English .

🏢 Summary: Full-time Data Engineer role focused on building and maintaining scalable, cloud-based data platforms for large-scale analytics. The position involves developing end-to-end data pipelines and collaborating with researchers and data professionals to enable data exploration and insight generation. 🗂️ Requirements: 3+ years experience in Data Engineering or similar role, Strong Python skills, Experience with Spark or Scala, Experience with big data technologies, Ability to design scalable data solutions 📃 Skills: Python, Spark, Scala, Cloud, ETL, BigData, GraphDB 🏢 Description: Role Title: Data Engineer Location: Warsaw, hybrid Contract Type: Umowa o Pracę - full time employment 25000-36000 zl gross/month - negotiable (depending on years of experience) A growing research-focused team is looking for a Data Engineer to build and support data platforms that help professionals extract insights from large, complex datasets. This role involves working closely with researchers, analysts, and data scientists to design scalable data solutions. What you’ll do Build and maintain end-to-end data pipelines (ingestion, transformation, delivery) Develop cloud-based data infrastructure for large-scale analytics Work with teams to enable data exploration and visualization Evaluate and prototype new big data technologies Requirements 3+ years experience in Data Engineering or similar role Strong Python development skills Experience with Spark or Scala Interest or experience in big data technologies Ability to design innovative solutions to data challenges Nice to have • Experience with graph databases

🏢 Summary: Senior Data Engineer role focused on building and optimizing data integration and retrieval solutions that power Generative AI systems, including AI agents and RAG pipelines. The position involves designing scalable data pipelines and Python-based microservices integrated with large-scale GenAI platforms. The engineer will contribute to architecture and ensure high performance, reliability, and security of data services. 🗂️ Requirements: 5+ years of experience in software or data engineering with strong focus on Python, Hands-on experience with FastAPI and microservices, Experience with API-driven architectures, Experience with databases or data platforms (MongoDB, PostgreSQL, Hadoop, BigQuery, Starburst or similar), Understanding of vector stores, embeddings or semantic search concepts, Experience with cloud platforms (GCP or Azure), Solid understanding of Unix/Linux environments, Strong debugging skills 📃 Skills: Python, FastAPI, Microservices, APIs, MongoDB, PostgreSQL, Hadoop, BigQuery, Starburst, GCP, Azure, Linux, Unix, Vectorstores, Embeddings, SemanticSearch, Debugging 🏢 Description: Senior Data Engineer (Python / GenAI) 📍 Location: Kraków, Poland (hybrid: 2 days in the office, 3 days remote) 📄 B2B Contract: 210 – 260 PLN / hour We are looking for a proactive Senior Data Engineer (Python / GenAI) to join an international team building advanced data integration and retrieval solutions powering Generative AI across the organization. You will work closely with Engineers, Architects and AI Specialists to design, build and optimize data flows that directly support AI agents, RAG pipelines and large‑scale GenAI applications. This role sits within a collaborative engineering environment and offers the opportunity to influence architecture, development standards and the overall quality of next‑generation AI‑driven systems. Key Responsibilities: Design and develop data integration components enabling GenAI models to access and process data from multiple internal systems. Build and maintain data transfer pipelines ensuring scalability, reliability and security. Develop Python‑based microservices (FastAPI) integrated with broader GenAI platforms. Work with vector stores, memory stores and RAG pipelines to optimize data retrieval and context generation for AI agents. Collaborate with cross‑functional teams to align data integrations with overall GenAI architecture. Implement monitoring, observability and performance tuning for data services. Participate in Agile ceremonies: sprint planning, reviews, retrospectives and daily stand‑ups. Requirements: 5+ years of experience in software or data engineering with strong focus on Python . Hands‑on experience with FastAPI , microservices and API‑driven architectures. Experience with databases and data platforms such as MongoDB, PostgreSQL, Hadoop, BigQuery, Starburst or similar. Understanding of vector stores , embeddings or semantic search concepts. Experience working with cloud platforms (GCP or Azure). Solid understanding of Unix/Linux environments. Strong debugging skills and ability to clearly communicate findings. Nice to Have: Experience with RAG pipelines , context engineering or evaluation systems. Knowledge of Google ADK or similar AI development toolkits. Experience with memory stores or caching systems. Exposure to GenAI platforms, LLM‑based solutions or AI agents. Familiarity with DevOps practices and CI/CD pipelines. What We Offer: Long‑term cooperation within a high‑impact, innovative AI programme. Real influence on architecture, engineering standards and data integration strategy. Work in a multicultural, distributed environment. Private medical care (LuxMed) and Multisport card. Stable B2B contract with competitive hourly rate. To learn more about Antal, please visit www.antal.pl

🏢 Summary: Long-term Senior Software Engineer role building a cloud-based financial data platform from scratch. The position focuses on designing and developing scalable, real-time data processing solutions in Azure with strong influence on architecture and engineering standards. You will create backend services and data pipelines in a modern, evolving data environment. 🗂️ Requirements: Strong programming skills in Python or Java or C#, Experience with cloud platforms (Azure preferred), Experience building backend services or data processing components, Experience working with data pipelines and ensuring data consistency, Understanding of software design and clean code principles, Experience with CI/CD pipelines, Experience with version control systems 📃 Skills: Python, Java, C#, Azure, Cloud, CI/CD, Backend, Datapipelines 🏢 Description: As a Senior Software Engineer, you’ll be working on data-driven solutions within the financial data and analytics space. This is a long-term collaboration on a project being built from scratch, giving you real influence over architecture, technology choices, and engineering standards from day one. You’ll be shaping platforms that process large-scale, real-time data used across global financial systems, in a modern and evolving data environment. Key responsibilities Design and develop scalable solutions in cloud environment (Azure) Build and maintain data processing components and services Work with data pipelines and ensure data consistency across systems Develop cloud-based applications and services Collaborate with Engineering, Architecture and Product teams Contribute to clean code, CI/CD, automation and system reliability Take part in code reviews and technical discussions Ideal candidate profile Strong programming skills in Python or Java or C# Experience working with cloud platforms (Azure preferred) Experience in building backend services or data processing components Understanding of software design, clean code and good engineering practices Experience with CI/CD pipelines and version control systems Ability to work independently and as part of a team Good communication skills Nice to have Experience with Spark / PySpark / Databricks Experience with data platforms or data engineering concepts Familiarity with event-driven architectures (Kafka, Event Hubs or similar) Experience with Azure data ecosystem (e.g. Fabric) Experience with containers / Kubernetes (AKS) Conditions Form of cooperation: UoP + KUP 50% Salary range: 18 000 - 30 000 PLN gross/month + yearly bonus depends on the results Hybrid work model: 3 days per week in the Gdynia office Benefits: private medical care, Multisport card, employee pension scheme Recruitment steps Call with a KUBO recruiter (approx. 30 min.) Interview with the client (max. 2 rounds) Decision and feedback

🏢 Summary: Senior Python Engineer role focused on designing and delivering scalable, secure cloud-based solutions using Python and modern cloud platforms. The position involves building web applications, APIs, data pipelines, and microservices while leveraging cloud-native and serverless technologies. Hybrid work model with strong emphasis on CI/CD, system reliability, and cloud architecture. 🗂️ Requirements: Bachelor’s degree in Computer Science, Engineering or related field or equivalent experience, 5+ years of commercial Python development experience, Experience with Django, Flask or FastAPI, Commercial experience with AWS, Azure or GCP, Hands-on experience with cloud services and serverless solutions, Experience with Docker and Kubernetes, Experience designing RESTful APIs, Experience with MySQL or PostgreSQL, Experience with MongoDB or DynamoDB, Experience with CI/CD tools, Knowledge of Git version control, Experience with unit testing 📃 Skills: Python, Django, Flask, FastAPI, AWS, Azure, GCP, Docker, Kubernetes, Lambda, AzureFunctions, CloudFunctions, MySQL, PostgreSQL, MongoDB, DynamoDB, Jenkins, GitHubActions, AzureDevOps, CodePipeline, Git, CI/CD, REST, Microservices, Serverless 🏢 Description: We are looking for an experienced Senior Python Engineer with expertise in Cloud technologies to contribute to a strategic project for one of our key clients. As a Senior Engineer, you will create, enhance, and implement scalable, secure solutions utilizing Python and modern cloud platforms. Collaboration with cross-functional teams will be essential to deliver innovative software systems addressing complex business challenges and driving digital transformation. This role follows a hybrid work model, requiring three days per week in-office at one of our locations in Krakow, Wroclaw, Gdansk, or Warsaw. Responsibilities Deliver high-quality software solutions using Python for web applications, APIs, data pipelines, AI/ML models, and automation tools Design and manage cloud-based architectures utilizing platforms like AWS, Azure, or Google Cloud Platform (GCP) Create scalable microservices and serverless applications using cloud-native tools and frameworks Optimize data pipelines and workflows using Python and cloud services such as AWS Lambda, Azure Functions, or GCP Cloud Functions Promote system reliability and scalability utilizing best coding practices, automated testing, and effective monitoring Work with product, operations, and engineering teams to define requirements, refine features, and implement solutions Set up CI/CD pipelines to enhance deployment efficiency in cloud environments Address production issues and improve system performance in cloud setups Keep up to date with Python trends, cloud advancements, and evolving tools Mentor junior team members, perform code reviews, and uphold quality standards across the team Requirements Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience 5+ years of Python development experience, with a focus on libraries such as Django, Flask, or FastAPI Commercial background in cloud platforms such as AWS, Azure, or Google Cloud and hands-on experience with related services Competency in cloud-native technologies, including Docker, Kubernetes, and serverless frameworks Skills in designing RESTful APIs and integrating third-party services Knowledge of database technologies, including relational databases like MySQL/PostgreSQL and non-relational databases like MongoDB/DynamoDB Understanding of software development best practices, Agile methodologies, Git version control, and unit testing Experience with CI/CD tools, including Jenkins, GitHub Actions, Azure DevOps, or AWS CodePipeline Strong analytical and problem-solving abilities for tackling technical challenges Effective communication skills and the ability to collaborate in team settings Nice to have Background in AI or ML technologies 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 scalable, secure cloud-based solutions using Python and modern cloud platforms. The position involves designing microservices, serverless applications, and data pipelines while collaborating with cross-functional teams in a hybrid work model. The engineer will also drive CI/CD implementation, system reliability, and cloud architecture optimization. 🗂️ Requirements: Bachelor’s degree in Computer Science, Engineering or related field or equivalent experience, 5+ years of professional Python development experience, Experience with Django, Flask or FastAPI, Commercial experience with AWS, Azure or Google Cloud Platform, Hands-on experience with cloud services and architectures, Experience with Docker and Kubernetes, Experience with serverless architectures, Experience designing RESTful APIs, Experience with relational and non-relational databases, Experience with CI/CD tools, Knowledge of Git version control, Experience with unit testing 📃 Skills: Python, Django, Flask, FastAPI, AWS, Azure, GCP, Docker, Kubernetes, Serverless, REST, MySQL, PostgreSQL, MongoDB, DynamoDB, Jenkins, GitHubActions, AzureDevOps, CodePipeline, Git, CI/CD 🏢 Description: We are looking for an experienced Senior Python Engineer with expertise in Cloud technologies to contribute to a strategic project for one of our key clients. As a Senior Engineer, you will create, enhance, and implement scalable, secure solutions utilizing Python and modern cloud platforms. Collaboration with cross-functional teams will be essential to deliver innovative software systems addressing complex business challenges and driving digital transformation. This role follows a hybrid work model, requiring three days per week in-office at one of our locations in Krakow, Wroclaw, Gdansk, or Warsaw. Responsibilities Deliver high-quality software solutions using Python for web applications, APIs, data pipelines, AI/ML models, and automation tools Design and manage cloud-based architectures utilizing platforms like AWS, Azure, or Google Cloud Platform (GCP) Create scalable microservices and serverless applications using cloud-native tools and frameworks Optimize data pipelines and workflows using Python and cloud services such as AWS Lambda, Azure Functions, or GCP Cloud Functions Promote system reliability and scalability utilizing best coding practices, automated testing, and effective monitoring Work with product, operations, and engineering teams to define requirements, refine features, and implement solutions Set up CI/CD pipelines to enhance deployment efficiency in cloud environments Address production issues and improve system performance in cloud setups Keep up to date with Python trends, cloud advancements, and evolving tools Mentor junior team members, perform code reviews, and uphold quality standards across the team Requirements Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience 5+ years of Python development experience, with a focus on libraries such as Django, Flask, or FastAPI Commercial background in cloud platforms such as AWS, Azure, or Google Cloud and hands-on experience with related services Competency in cloud-native technologies, including Docker, Kubernetes, and serverless frameworks Skills in designing RESTful APIs and integrating third-party services Knowledge of database technologies, including relational databases like MySQL/PostgreSQL and non-relational databases like MongoDB/DynamoDB Understanding of software development best practices, Agile methodologies, Git version control, and unit testing Experience with CI/CD tools, including Jenkins, GitHub Actions, Azure DevOps, or AWS CodePipeline Strong analytical and problem-solving abilities for tackling technical challenges Effective communication skills and the ability to collaborate in team settings Nice to have Background in AI or ML technologies 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 Developer role focused on building high-performance data pipelines and monitoring solutions for low-latency trading systems. The position involves processing network packet data, developing analytics tools, and enhancing real-time trading infrastructure. It offers direct impact on trading performance within a financial technology environment. 🗂️ Requirements: Minimum 3 years of software development experience, Professional experience with Python, Experience with Shell scripting, Experience in data analytics and time series analysis, Basic knowledge of TCP/IP, UDP and Ethernet protocols, Understanding of GNU/Linux kernel and OS internals, Basic knowledge of C/C++, Fluent English, Legal right to work in the European Union 📃 Skills: Python, Shell, TCP/IP, UDP, Ethernet, Linux, GNU, C, C++, Analytics, TimeSeries 🏢 Description: Empower the Future of Trading — Shape High-Performance Data Pipelines in a Dynamic Financial Ecosystem! Wroclaw-based opportunity with on-site work model (5 on-site days per week allowed). As a Senior Python Developer – Trading Technology & Data Pipelines , you will be working for our client, a leading financial technology firm specializing in low-latency trading strategies. Join a team of innovative engineers and researchers dedicated to optimizing and transforming trading performance through cutting-edge data solutions and monitoring tools. This role offers a unique chance to directly influence trading outcomes and advance your career in financial technology. Your main responsibilities: Develop tools to collect and aggregate data from complex trading systems. Design and implement data pipelines to process network packet captures for low-latency network analysis. Build monitoring solutions with anomaly detection for network traffic and system metrics. Collaborate with the team to optimize trading strategies and improve system performance. Gain expertise in financial markets and trading technology while proposing measurable improvements. Contribute to high-performance data infrastructure supporting real-time trading decisions. Work closely with engineers to streamline data flows and enhance system reliability. You're ideal for this role if you have: At least 3 years of experience in software development, preferably in trading or finance. Strong proficiency in Python and Shell scripting. Experience in data analytics and time series analysis. Basic knowledge of TCP/IP, UDP, and Ethernet protocols. Understanding of GNU/Linux kernel and operating system internals. Fundamental knowledge of C/C++ programming. An interest in financial markets and trading technology. It is a strong plus if you have: (optional) Certifications or experience in network analysis or low-latency systems. Language Required for the role: Fluent in English, with excellent communication skills to collaborate effectively. Eligibility to work on this role: Only candidates with an existing legal right to work in the European Union will be considered for this role. #MAKEYourCareerBETTER Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.