Senior Python Engineer

🏢 Summary: Python Developer role focused on delivering secure, scalable application and AWS cloud infrastructure features. The position combines feature development, security remediation, CI/CD, and production operations in collaboration with product, platform, and security teams. 🗂️ Requirements: 3+ years of software development, architecture, and system integration experience, Hands-on AWS experience with Lambda, ECS, S3, DynamoDB, Aurora, CloudFormation, and CloudWatch, Proficiency in Java, Python, and TypeScript, including API development, design patterns, and quality engineering, Relational database fundamentals and basic SQL query writing, CI/CD experience with GitHub Actions, reusable workflows, environment protection rules, and artifact/version management, Production operations and observability experience with Splunk and Honeycomb, Knowledge of enterprise tooling, multi-region resiliency, failover, feature toggling, IT risk, information security, compliance, and change governance, Written and spoken English at B2+ level 📃 Skills: Python, Java, TypeScript, AWS, Lambda, ECS, S3, DynamoDB, Aurora, CloudFormation, CloudWatch, SQL, GitHub, Splunk, Honeycomb, CI/CD, SRE 🏢 Description: We are seeking a skilled Python Developer to join our team and contribute to the delivery of robust application and cloud infrastructure solutions. In this role, you will work on both feature development and security remediation, collaborating with cross-functional partners to build maintainable, secure, and scalable systems that meet business needs. Responsibilities Deliver application and cloud infrastructure features, including development, testing, and deployment, working from established designs and acceptance criteria Implement security remediation work (vulnerability fixes, dependency upgrades, code hardening) and net-new features as prioritized by the team lead Translate technical requirements into well-structured, testable, and maintainable code that meets team quality bars for reviews and tests Promote changes through dev, test, and production environments following established change management processes and documentation standards Collaborate with product, platform, and security partners to clarify requirements and deliver work that meets business needs Requirements 3+ years of experience in software development, architecture, and system integration Hands-on expertise in AWS services such as Lambda, ECS, and S3 Proficiency in AWS data and infrastructure services, including DynamoDB, Aurora, CloudFormation, and CloudWatch Strong software engineering skills in Java, Python, and TypeScript (or equivalent), including design patterns, API development, and quality engineering practices Understanding of relational database fundamentals and competency in writing basic SQL queries Expertise in CI/CD using GitHub Actions/workflows, reusable workflows, environment protection rules, and artifact/version management Proven capability to operate and improve production systems using modern observability tools such as Splunk and Honeycomb, with an SRE/operational mindset Knowledge of owning/operating enterprise tooling, multi-region cloud resiliency and failover practices, and feature toggling solutions Familiarity with IT risk and information security expectations, with the ability to deliver solutions that meet security, compliance, and change governance requirements Excellent command of written and spoken English (B2+ level) We offer We gather like-minded people: Top tech minds driving innovation in AI, cloud and digital platform modernization Supportive team and agile, startup-like culture Hybrid by design mode 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: Career development programs Thought leadership, mentoring, soft skills and well-being programs Certification (Anthropic, Gemini, GCP, Azure, AWS) English classes We cover it all: Stable pay Participation in the Employee Stock Purchase Plan with a 15% discount Benefits package (health insurance, multisport, shopping vouchers) Referral bonuses up to $2,000 Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more Corporate, social and well-being events Please, note: Benefits listed above are available to employees only We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually We will reach out to selected candidates exclusively EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

🏢 Summary: Python Developer role focused on delivering secure, scalable application and AWS cloud infrastructure features. The position combines feature development, security remediation, CI/CD delivery, and production operations in collaboration with product, platform, and security teams. 🗂️ Requirements: 3+ years of software development, architecture, and system integration experience, AWS hands-on expertise: Lambda, ECS, S3, DynamoDB, Aurora, CloudFormation, CloudWatch, Java, Python, and TypeScript proficiency, API development, design patterns, testing, and quality engineering, Relational database fundamentals and basic SQL, CI/CD with GitHub Actions and workflow governance, Production observability with Splunk or Honeycomb, Multi-region resiliency, failover, enterprise tooling, and feature toggles, Security, compliance, IT risk, and change-governance knowledge, English proficiency at B2+ level 📃 Skills: Python, Java, TypeScript, AWS, Lambda, ECS, S3, DynamoDB, Aurora, CloudFormation, CloudWatch, SQL, GitHubActions, Splunk, Honeycomb, CI/CD, APIs, SRE 🏢 Description: We are seeking a skilled Python Developer to join our team and contribute to the delivery of robust application and cloud infrastructure solutions. In this role, you will work on both feature development and security remediation, collaborating with cross-functional partners to build maintainable, secure, and scalable systems that meet business needs. Responsibilities Deliver application and cloud infrastructure features, including development, testing, and deployment, working from established designs and acceptance criteria Implement security remediation work (vulnerability fixes, dependency upgrades, code hardening) and net-new features as prioritized by the team lead Translate technical requirements into well-structured, testable, and maintainable code that meets team quality bars for reviews and tests Promote changes through dev, test, and production environments following established change management processes and documentation standards Collaborate with product, platform, and security partners to clarify requirements and deliver work that meets business needs Requirements 3+ years of experience in software development, architecture, and system integration Hands-on expertise in AWS services such as Lambda, ECS, and S3 Proficiency in AWS data and infrastructure services, including DynamoDB, Aurora, CloudFormation, and CloudWatch Strong software engineering skills in Java, Python, and TypeScript (or equivalent), including design patterns, API development, and quality engineering practices Understanding of relational database fundamentals and competency in writing basic SQL queries Expertise in CI/CD using GitHub Actions/workflows, reusable workflows, environment protection rules, and artifact/version management Proven capability to operate and improve production systems using modern observability tools such as Splunk and Honeycomb, with an SRE/operational mindset Knowledge of owning/operating enterprise tooling, multi-region cloud resiliency and failover practices, and feature toggling solutions Familiarity with IT risk and information security expectations, with the ability to deliver solutions that meet security, compliance, and change governance requirements Excellent command of written and spoken English (B2+ level) We offer We gather like-minded people: Top tech minds driving innovation in AI, cloud and digital platform modernization Supportive team and agile, startup-like culture Hybrid by design mode 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: Career development programs Thought leadership, mentoring, soft skills and well-being programs Certification (Anthropic, Gemini, GCP, Azure, AWS) English classes We cover it all: Stable pay Participation in the Employee Stock Purchase Plan with a 15% discount Benefits package (health insurance, multisport, shopping vouchers) Referral bonuses up to $2,000 Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more Corporate, social and well-being events Please, note: Benefits listed above are available to employees only We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually We will reach out to selected candidates exclusively EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

🏢 Summary: Senior Full Stack Engineer role focused on building resilient Java and Python backend services for a cloud-native financial services platform. The offer involves Azure-based containerized microservices, REST and message-driven APIs, Terraform infrastructure, and AI-assisted development, with office work required three times weekly. 🗂️ Requirements: 7+ years of enterprise software development experience, Java 11+ object-oriented programming, Python programming, Spring Boot / Spring experience, Web or REST API and message-driven service development, Containerized application development and operations, Microsoft Azure experience, Terraform infrastructure-as-code experience, Kubernetes / AKS orchestration experience, Linux/Unix and shell scripting skills, AI-assisted development tooling experience, GitLab or GitHub proficiency, IntelliJ or VSCode proficiency, Agile Scrum experience, Fluent written and spoken English, Office attendance 3 times per week 📃 Skills: Java, Python, Spring, SpringBoot, REST, Azure, Terraform, Kubernetes, AKS, Linux, Unix, GitLab, GitHub, IntelliJ, VSCode, Copilot, Scrum, Kafka, IBM, Tibco, AzureSQL, Oracle, Sybase, CI/CD 🏢 Description: EPAM is looking for a Senior Full Stack Engineer (Java with Python) to join a high-impact engineering team delivering enterprise-grade backend solutions for a major global client in the financial services industry. You will contribute to the development and evolution of a cloud-native platform supporting critical business functions, working with modern technologies across Azure cloud, containerized microservices, and AI-assisted development practices. This is an excellent opportunity for an experienced engineer who thrives in complex, large-scale environments and is passionate about writing clean, scalable, and resilient code. This role requires working from the office 3 times a week. Responsibilities Design, develop, and maintain backend services using Java and Python within a cloud-native ecosystem Build and evolve RESTful APIs, web services, and message-driven architectures Develop and manage containerized applications deployed on Azure Kubernetes Service (AKS) Implement and maintain Infrastructure as Code using Terraform Collaborate with cross-functional teams to define technical solutions aligned with business requirements Leverage AI-assisted development tools (e.g., GitHub Copilot) to enhance productivity and code quality Participate in code reviews, technical discussions, and continuous improvement initiatives Ensure reliability, performance, and security of backend services in a production environment Contribute to engineering best practices across the team and the broader delivery organization Requirements 7+ years of professional software development experience in enterprise environments Strong object-oriented programming skills with Java 11+ Strong Python programming skills Extensive hands-on experience with the Spring Boot / Spring ecosystem Proven experience developing Web and/or REST APIs and message-driven services Experience building and running containerized applications Strong experience with Microsoft Azure, including: Infrastructure as Code (IaC) using Terraform Kubernetes (AKS) and container orchestration Compute (VMs) and storage solutions (e.g., Azure Files) Solid Linux/Unix skills (shell scripting, system-level understanding) Experience with AI-assisted development tools (e.g., GitHub Copilot) integrated into daily workflows Proficiency with GitLab / GitHub and modern IDEs (IntelliJ / VSCode) Strong analytical and problem-solving abilities Experience working in Agile teams (Scrum) Fluent English (written and spoken) Nice to have Experience with microservices architecture and system design at scale Familiarity with messaging and integration technologies: Kafka, IBM MQ, Tibco EMS Experience with relational databases: Azure SQL, Oracle, Sybase Proficiency with testing frameworks (unit, integration, and E2E testing) Hands-on experience with CI/CD pipelines (GitLab / GitHub) Knowledge of monitoring and observability practices and tooling We offer We gather like-minded people: Top tech minds driving innovation in AI, cloud and digital platform modernization Supportive team and agile, startup-like culture Hybrid by design mode 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: Career development programs Thought leadership, mentoring, soft skills and well-being programs Certification (Anthropic, Gemini, GCP, Azure, AWS) English classes We cover it all: Stable pay Participation in the Employee Stock Purchase Plan with a 15% discount Benefits package (health insurance, multisport, shopping vouchers) Referral bonuses up to $2,000 Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more Corporate, social and well-being events Please, note: Benefits listed above are available to employees only We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually We will reach out to selected candidates exclusively EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

🏢 Summary: Senior Python Engineer role focused on designing, deploying, and operating production-scale AI and ML solutions. The position covers LLMs, RAG systems, data pipelines, cloud-native AI services, and MLOps across major cloud platforms. 🗂️ Requirements: Python proficiency, NumPy, Pandas, PyTorch, TensorFlow, and Transformers, Hands-on LLM experience, Machine learning, NLP, deep learning, and vector embeddings, Azure, AWS, or GCP experience, Serverless computing experience, MLOps tooling experience, Vector database experience, Docker and Kubernetes knowledge 📃 Skills: Python, NumPy, Pandas, PyTorch, TensorFlow, Transformers, OpenAI, AzureOpenAI, Anthropic, Llama, Azure, AWS, GCP, MLflow, Kubeflow, AzureML, SageMaker, Databricks, Pinecone, Chroma, FAISS, Docker, Kubernetes, REST, RAG, NLP, MLOps 🏢 Description: Position overview We are seeking a skilled Senior Python Engineer to design, develop, and deploy AI and ML driven solutions that enhance business capabilities, automate processes, and improve customer and employee experiences. The ideal candidate has a strong foundation in machine learning, large language models (LLMs), data engineering, and cloud platforms, with the ability to productionize models at scale. Responsibilities Design, build, and deploy machine learning and generative AI models, including LLMs, embeddings, transformers, and RAG pipelines. Develop scalable AI services and microservices using Python, REST APIs, and cloud native technologies. Optimize models for performance, accuracy, and cost efficiency. Work with structured and unstructured datasets for feature engineering, vectorization, and model training. Build data pipelines for training, validation, and inference. Collaborate with data engineering teams on data ingestion, storage, and governance. Implement CI/CD pipelines for machine learning models and MLOps workflows. Monitor model performance and drift, and implement retraining strategies. Manage model lifecycle processes, logging, and observability. Integrate AI systems with enterprise applications, APIs, and cloud platforms such as Azure, AWS, and GCP. Build Retrieval Augmented Generation (RAG) architectures leveraging vector databases such as Pinecone, FAISS, Weaviate, or Azure AI Search. Ensure solutions align with enterprise security, compliance, and responsible AI standards. Work with product, engineering, domain experts, and business teams to translate requirements into technical solutions. Communicate AI capabilities and limitations to non technical stakeholders. Conduct proofs of concept (POCs), demonstrations, and conceptual solution design activities. Requirements Strong proficiency in Python, including NumPy, Pandas, PyTorch, TensorFlow, and Transformers. Hands on experience with LLMs, including OpenAI, Azure OpenAI, Anthropic, and Llama models. Experience with machine learning algorithms, natural language processing (NLP), deep learning, and vector embeddings. Experience with cloud platforms such as Azure, AWS, and GCP, including serverless computing services. Familiarity with MLOps tools such as MLflow, Kubeflow, Azure Machine Learning, Amazon SageMaker, or Databricks. Experience working with vector databases, including Pinecone, Chroma, FAISS, and Azure AI Search. Knowledge of containerization and orchestration technologies such as Docker and Kubernetes. What We Offer: Vacation days : Up to 26 business days per year. 10 illness/special days off per year (fully paid, no medical papers needed) for all contract types Health and life insurance (Luxmed) MyBenefit platform with Multisport option Internal psychological support service English language classes from the first working day Access to external learning platforms : O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training Flexible workplace : work from the office, from home, or choose a hybrid option Tech Skills Mentoring Program Opportunities to develop as a public speaker, mentor, or technical interviewer Fully paid idle (bench) when not involved in a project Certification reimbursement (AWS, GCP, Microsoft, etc.)