Senior Python Engineer

🏢 Summary: The offer is for an experienced Python Data Engineer to build scalable, cloud-based data and analytics solutions for global financial institutions. The role focuses on designing distributed data pipelines, enhancing system reliability, and developing financial and AI-driven data platforms. You will work with modern cloud and AI tools to advance enterprise data architecture and analytics capabilities. 🗂️ Requirements: 4+ years of professional experience in Python data or software engineering, Strong knowledge of data architecture, data modeling, and data warehousing, Advanced SQL skills and complex query writing, Experience building scalable distributed data pipelines, Hands-on experience with cloud environments (AWS preferred), Understanding of event-driven architectures, Experience with debugging and system reliability practices 📃 Skills: Python, SQL, AWS, Databricks, Spark, PySpark, Scala, Delta, Airflow, dbt, Kafka, Kubernetes, MongoDB, Grafana, Loki, Prometheus, OpenTelemetry 🏢 Description: We are partnering with top-tier global financial institutions to scale their core technology and data infrastructure. We are looking for an experienced and product-oriented Python Data Engineer to join our technology group. In this role, you will work at the intersection of cutting-edge technology and institutional finance. You will collaborate closely with data consumers, engineering teams, and business stakeholders to push the firm's technological capabilities forward. What You’ll Do: Core Responsibilities: Design, develop, and deliver high-quality, scalable Python-based solutions. Drive engineering excellence by ensuring system reliability, automating processes, and maintaining high operational standards. Actively experiment with and integrate modern AI coding tools (e.g., Copilot, Cursor) to streamline engineering workflows. Lead design discussions, mentor junior colleagues, and communicate proactively across a geo-distributed team. Depending on the specific project or team, your focus may include: Enterprise Data Platforms: Building cloud-based (AWS) pipelines for data ingestion, streaming, and cataloging. Risk & Portfolio Analytics Systems: Developing software for financial data ingress/egress, performance/exposure monitoring, and automated reconciliation. AI & Metadata Applications: Extending AI-powered semantic data access layers and internal data catalogs. What We’re Looking For Experience: 4+ years of professional experience in software or data engineering, specifically using Python . Data Skills: Solid understanding of data architecture, modeling, and warehousing. Excellent debugging acumen and comfort writing complex SQL statements. Cloud & Architecture: Experience building scalable, distributed pipelines in a cloud environment (preferably AWS ). Familiarity with event-driven architectures. Mindset: Impact-oriented, proactive, self-starting learner who embraces engineering automation, navigates ambiguity well, and holds themselves to high ethical standards. Nice to Have: Big Data & Orchestration: Expertise in Databricks, Spark (PySpark/Scala), Delta Lake, and orchestration tools like Airflow, dbt, or Kafka. Infrastructure & Observability: Working knowledge of Kubernetes, MongoDB, and observability stacks (Grafana, Loki, Prometheus, OpenTelemetry). Offer: Competitive compensation (30k - 45k PLN) with flexible contracting options (B2B/UoP). Premium office location in the heart of Warsaw. Comprehensive private medical and dental care. Sports card and wellness benefits. Private life insurance

🏢 Summary: Opportunity for an experienced Python Data Engineer to build scalable data platforms and analytics systems for global financial institutions. The role focuses on designing cloud-based data pipelines, enhancing system reliability, and integrating modern AI tools into engineering workflows. You will collaborate across distributed teams to deliver high-quality solutions in enterprise data, risk analytics, and AI-driven metadata applications. 🗂️ Requirements: 4+ years of professional experience in software or data engineering using Python, Strong knowledge of data architecture, data modeling, and data warehousing, Ability to write complex SQL queries and perform advanced debugging, Experience building scalable, distributed data pipelines in cloud environments, Experience with AWS, Familiarity with event-driven architectures 📃 Skills: Python, SQL, AWS, Databricks, Spark, PySpark, Scala, Delta, Airflow, dbt, Kafka, Kubernetes, MongoDB, Grafana, Loki, Prometheus, OpenTelemetry 🏢 Description: We are partnering with top-tier global financial institutions to scale their core technology and data infrastructure. We are looking for an experienced and product-oriented Python Data Engineer to join our technology group. In this role, you will work at the intersection of cutting-edge technology and institutional finance. You will collaborate closely with data consumers, engineering teams, and business stakeholders to push the firm's technological capabilities forward. What You’ll Do: Core Responsibilities: Design, develop, and deliver high-quality, scalable Python-based solutions. Drive engineering excellence by ensuring system reliability, automating processes, and maintaining high operational standards. Actively experiment with and integrate modern AI coding tools (e.g., Copilot, Cursor) to streamline engineering workflows. Lead design discussions, mentor junior colleagues, and communicate proactively across a geo-distributed team. Depending on the specific project or team, your focus may include: Enterprise Data Platforms: Building cloud-based (AWS) pipelines for data ingestion, streaming, and cataloging. Risk & Portfolio Analytics Systems: Developing software for financial data ingress/egress, performance/exposure monitoring, and automated reconciliation. AI & Metadata Applications: Extending AI-powered semantic data access layers and internal data catalogs. What We’re Looking For: Experience: 4+ years of professional experience in software or data engineering, specifically using Python . Data Skills: Solid understanding of data architecture, modeling, and warehousing. Excellent debugging acumen and comfort writing complex SQL statements. Cloud & Architecture: Experience building scalable, distributed pipelines in a cloud environment (preferably AWS ). Familiarity with event-driven architectures. Mindset: Impact-oriented, proactive, self-starting learner who embraces engineering automation, navigates ambiguity well, and holds themselves to high ethical standards. Nice to Have: Big Data & Orchestration: Expertise in Databricks, Spark (PySpark/Scala), Delta Lake, and orchestration tools like Airflow, dbt, or Kafka. Infrastructure & Observability: Working knowledge of Kubernetes, MongoDB, and observability stacks (Grafana, Loki, Prometheus, OpenTelemetry). Offer: Competitive compensation (30k - 45k PLN) with flexible contracting options (B2B/UoP). Premium office location in the heart of Warsaw. Comprehensive private medical and dental care. Sports card and wellness benefits. Private life insurance

🏢 Summary: Senior Python Engineer role focused on building production-grade data pipelines and AI-driven systems, including LLM-based applications. The position involves designing scalable architectures, processing large datasets, and integrating modern cloud data platforms. You will work on complex, real-world data solutions used in production environments. 🗂️ Requirements: Senior-level Python experience, Strong knowledge of SQL and data processing, Experience building and maintaining data pipelines, Hands-on experience with orchestration tools (Airflow, Prefect, or Dagster), Experience with cloud data platforms (S3, BigQuery, Snowflake, or Databricks), Experience integrating LLM frameworks (LangChain or LlamaIndex), Ability to design scalable, production-ready systems 📃 Skills: Python, Pandas, NumPy, PySpark, SQL, Airflow, Prefect, Dagster, S3, BigQuery, Snowflake, Databricks, LangChain, LlamaIndex, LLM 🏢 Description: Our client is a technology consultancy that builds advanced data and AI systems for startups and enterprise companies. Their focus is on delivering production-ready solutions, especially in areas like data platforms, large-scale processing, and LLM-based applications. The Role As a Senior Python Engineer, you’ll be working on complex, data-heavy systems that go beyond prototypes. This includes designing and developing data pipelines, handling large-scale datasets, and integrating modern AI solutions (including LLMs) into real-world products. You’ll collaborate closely with experienced engineers and take part in architectural decisions, helping turn ideas into scalable, reliable systems used in production. What we’re looking for We’re looking for a strong senior-level engineer with deep experience in Python (including libraries like Pandas, NumPy, and PySpark), as well as solid knowledge of SQL and data processing. You should be comfortable working with data pipeline orchestration tools such as Airflow, Prefect, or Dagster, and have hands-on experience with modern cloud data platforms (e.g. S3, BigQuery, Snowflake, or Databricks). Experience with LLM frameworks like LangChain or LlamaIndex, especially in the context of data integration, is an important part of this role. Why join This is a great opportunity to work on real AI and data systems at scale, in a consultancy environment where engineering quality matters and you have a genuine impact on technical decisions. You’ll join a senior, low-ego team, work fully remotely from Poland, and contribute to projects for international clients.

🏢 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 Python Engineer role focused on building scalable, secure backend systems and infrastructure for a machine learning platform in a global fintech environment. The position centers on developing production-grade services, real-time data pipelines, and cloud-native platform capabilities that enable ML model deployment and monitoring. The role supports low-latency, high-availability systems such as fraud detection. 🗂️ Requirements: Strong commercial experience building production-grade backend systems in Python, Experience designing and operating distributed systems, Practical experience with AWS services (EKS, S3, Lambda), Experience with Docker and Kubernetes, Experience with databases, data pipelines, or streaming platforms, Knowledge of testing methodologies and CI/CD practices, Ability to work in high-availability, regulated environments 📃 Skills: Python, FastAPI, Microservices, DistributedSystems, AWS, EKS, S3, Lambda, Docker, Kubernetes, Kafka, Flink, Databases, Streaming, CICD, GitOps, GitHub, ArgoCD, Datadog, Observability 🏢 Description: We are looking for a Senior Python Engineer to join our ML Platform team. You will be responsible for building the backend systems and infrastructure that power machine learning across a global fintech project. This is a platform engineering role focused on building scalable, reliable, and secure systems that enable ML engineers and data scientists to develop, deploy, and operate models in production. Your work will directly support low-latency, real-time environments, such as fraud detection. Please note: Prior Machine Learning experience is NOT required! If you are a strong backend engineer with an interest in data-driven platforms and ML systems, this is the perfect role for you. Responsibilities: Backend Development: Design and build production-grade Python services (FastAPI / microservices) that support the ML lifecycle, including feature computation, model inference, and monitoring. Real-Time Data Pipelines: Develop and operate data pipelines to support low-latency, high-availability use cases (like fraud detection) using event-driven architectures (Kafka, Flink). Platform Engineering: Build capabilities to enable online and offline feature stores, working closely with Data Engineering to ensure reliable data flows. Developer Experience (DevEx): Improve the daily lives of ML engineers and data scientists through better tooling, automation, and self-service APIs. Cloud & DevOps: Build and maintain CI/CD pipelines (GitOps, GitHub Actions, ArgoCD) and ensure the observability (Datadog), resilience, and scalability of platform services. Security & Compliance: Collaborate with Infrastructure and Security teams to ensure all systems meet strict financial and regulatory standards. Min requirements: Python Mastery: Strong commercial experience in building production-grade backend systems and microservices in Python (this is not a scripting role). Distributed Systems: Proven experience designing, building, and operating backend services or distributed systems. Cloud & Containerization: Solid practical experience with AWS (EKS, S3, Lambda) and container orchestration ( Docker, Kubernetes ). Data Systems: Experience working with databases, data pipelines, or streaming platforms. Engineering Best Practices: Solid understanding of testing methodologies, CI/CD, and code quality standards. High-Availability Focus: Ability to work in highly regulated, high-availability environments where system resilience is critical. Would be a plus: Experience with real-time streaming technologies (Kafka, Flink) and low-latency systems. Background in fintech, payments, risk systems, or fraud detection. Experience with ML platforms/tools (e.g., SageMaker, Ray, Tecton) or exposure to feature stores (online/offline architectures). A general understanding of the machine learning lifecycle (training, inference, feature engineering). We offer: Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office About us: Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

🏢 Summary: Senior Python Software Engineer role focused on building and operating production-grade Python applications and data pipelines, transforming data science prototypes into scalable, deployable services. The position emphasizes strong SDLC practices, API development, governed data environments and collaboration with platform teams using Databricks and Spark. It combines backend engineering, data processing and model service exposure in enterprise production environments. 🗂️ Requirements: 3+ years of Python engineering experience, Proficiency in Python packaging (wheels, pyproject), Experience with typing, clean architecture and error handling, Strong production SDLC experience (Git workflows, automated tests, CI/CD, code reviews), Strong skills in Pandas and NumPy, Experience with Parquet and governed data access patterns, Experience building APIs with FastAPI, Flask or similar frameworks, Experience working in Databricks or other governed platform environments 📃 Skills: Python, Pandas, NumPy, Parquet, FastAPI, Flask, Databricks, Spark, PySpark, Git, CI/CD, scikit-learn 🏢 Description: We are seeking a Senior Python Software Engineer (Production Data & Model Services) to design, build and operate production-grade Python applications and data pipelines. In this role, you will transform quantitative and data science prototypes into robust, deployable services while collaborating closely with platform teams to ensure scalable and well-governed solutions. Responsibilities Build and run production-grade Python applications including APIs and batch jobs with strong SDLC practices covering code reviews, testing, CI/CD, observability and documentation Develop robust batch and near-real-time data pipelines reading and writing governed storage with Parquet and columnar formats following approved patterns Transform quant and data science prototypes into deployable packages and services that are typed, modular and versioned Expose scoring and analytics capabilities via APIs or scheduled jobs rather than notebook-only deliverables Collaborate with platform teams on Databricks and Spark connectivity Optimize PySpark workloads when needed to ensure performance and scalability Maintain release discipline through Git workflows, automated tests and code reviews Operate within governed platform environments to ensure compliance and reliability Requirements 3+ years of experience in Python engineering with proficiency in packaging (wheels/pyproject), typing, clean architecture, error handling and performance mindset Proven background in production SDLC including Git workflows, automated tests, CI/CD, code reviews and release discipline Strong skills in Pandas and NumPy applied to production pipelines Familiarity with data formats such as Parquet and governed data access patterns Experience building and operating APIs and services using FastAPI, Flask or similar frameworks Competency in working within governed platform environments such as Databricks or containerized dev platforms Nice to have Skills in scikit-learn for production feature and scoring pipelines, including reproducible transforms and model packaging/versioning Background in PySpark and distributed processing Familiarity with IDE-to-Databricks workflows such as Databricks Connect We offer 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: Contract role focused on building and productionising Python-based data and ML systems that support front-office portfolio management and analytics. Involves designing scalable data pipelines, modernising legacy workflows, and delivering reliable solutions integrated with enterprise data platforms. High-impact position working closely with investment teams to enable proprietary models and core analytics. 🗂️ Requirements: Strong professional experience with Python engineering, Experience building ETL or ML-oriented Python workflows, Experience developing robust data pipelines, Experience working with parquet or columnar data formats, Experience with PySpark or distributed data processing, Experience working in Databricks or similar platform environments, Proficiency with Git, Experience with testing and code reviews, Experience with CI/CD pipelines, Understanding of software engineering best practices 📃 Skills: Python, ETL, ML, Parquet, PySpark, Spark, Databricks, Git, CI/CD, Testing, APIs, Containers 🏢 Description: Location: Flexible (Hybrid in Wroclaw) Department: Front‑Office Technology & Analytics Type: Contract About the Role We’re working with a leading global investment organisation that is expanding its front‑office engineering function. This role sits at the intersection of data engineering, applied data science, and front‑office portfolio support , with a focus on building high‑quality Python systems that directly enable portfolio managers, analysts, and risk teams. You’ll work across several investment teams, helping to rewrite key components, productionise POCs, optimise data access patterns, and deliver reliable, scalable pipelines that power core analytics and proprietary models. If you enjoy solving complex data problems, building production systems end‑to‑end, and working closely with front‑office stakeholders, this is a high‑impact opportunity. What You’ll Work On Design, build, and operate Python-based data pipelines (batch & near‑real‑time) reading/writing to governed enterprise storage (e.g., parquet patterns via internal cloud storage). Develop production‑ready ML/data components including feature prep, scoring pipelines, and API‑exposed data services. Support the re‑engineering and migration of legacy workflows into modern Python-based solutions. Partner directly with front‑office portfolio managers and analysts to extend and industrialise proprietary models. Optimise Databricks connectivity and collaborate with platform teams to improve Spark/PySpark workloads. Support portfolio teams with data access, connectivity principles, and technical design for productionisation. Contribute to engineering standards: CI/CD, testing, code reviews, observability, automation, and documentation. Work on POCs through to full production rollout, including rewriting logic from other languages into Python where required. What We’re Looking For Must‑Have Skills Strong, professional-level Python engineering skills (data structures, packaging, typing). Experience with ETL or ML‑oriented Python workflows. Experience building robust data pipelines and working with parquet/columnar formats in governed storage. Exposure to PySpark or distributed data processing . Comfortable working in platform environments (Databricks, containerised services, internal dev platforms). Strong software engineering foundations: Git, testing, code review, CI/CD , documentation.

🏢 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: 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 Python Developer role in a startup-like environment focused on designing and delivering high-performance, scalable systems for demanding clients. The position involves full ownership of features from architecture to deployment, solving complex engineering problems, and shaping technical direction. It requires working under pressure with rapidly changing priorities while ensuring code quality and system reliability. 🗂️ Requirements: 5+ years commercial software development experience, Strong professional experience with Python, Excellent knowledge of Python 3.11+, Production experience with FastAPI or Falcon and Async SQLAlchemy 2.0, Strong expertise in REST and GraphQL API design, Solid understanding of relational and non-relational databases, Advanced knowledge of OOP, SOLID, YAGNI, TDD, Extensive experience with pytest, CI/CD pipelines, Docker, deployments, Experience building scalable, low-latency systems, Very good written and spoken English 📃 Skills: Python, FastAPI, Falcon, SQLAlchemy, REST, GraphQL, PostgreSQL, MongoDB, Redis, Elasticsearch, pytest, Docker, CI/CD, AWS, Azure, OOP, SOLID, TDD 🏢 Description: Startup Environment, High Ownership, Demanding Clients Join our startup-like environment filled with new ideas, rapid change, and a strong focus on priorities and delivery. We are looking for a Senior Python Developer - someone experienced, open-minded, and ready to take real ownership of both product and technical direction. You will work closely with demanding clients , solve complex engineering problems, and help shape ambitious, high-performance systems. This role is for engineers who enjoy responsibility, fast feedback loops, architectural challenges, and working under pressure . Your primary responsibilities beyond the will to change the world: Act as a technical partner for clients : analyze business needs, challenge requirements, and propose effective, scalable solutions Take full ownership of complex features - from concept and architecture through implementation, testing, and automated deployment Design system architecture, APIs, and data models for high-load, data-intensive systems Deliver core and business-critical components of projects Work in a dynamic, startup-style environment with changing priorities, tight deadlines, and real product pressure Proactively identify risks, bottlenecks, and technical debt , and drive improvements Ensure high code quality, performance, and reliability Support and mentor other developers, helping raise engineering standards across teams Must have: 5+ years of commercial software development experience, including strong professional experience in Python Excellent knowledge of Python 3.11+ (typing, dataclasses, modern best practices) Production experience with modern Python frameworks ( async FastAPI preferred, Falcon welcome, Async SQLAlchemy 2.0 ) Strong expertise in API design (REST, GraphQL) Solid understanding of databases and data-driven systems (relational, document, search, key-value stores) Advanced knowledge of software engineering principles (OOP, SOLID, YAGNI, TDD) Extensive experience with unit testing (pytest), CI/CD pipelines, Docker, and deployments Proven ability to build efficient, low-latency, scalable systems Confidence working with tight deadlines, pressure, and frequently evolving requirements Very good written and spoken English Strong communication skills and a proactive, ownership-oriented mindset Experience we'd appreciate, too: Experience in system architecture and technical leadership Asynchronous programming and high-concurrency systems Messaging systems and distributed architectures DDD and event-driven design Cloud and DevOps experience ( AWS / Azure ) Mentoring and influencing technical direction of projects Nice to have: Community involvement (meetups, open source, speaking) Writing technical articles or internal knowledge-sharing A list of benefits is long so we will mention only about the crucial ones: Challenging projects with real business impact Work in a startup-like environment : fast decisions, autonomy, responsibility 100% remote or office in Poland (Wrocław / Zielona Góra) Sport subscription Private healthcare