Senior Python Engineer (with AI experience)

🏢 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: The offer is for an AI Backend Engineer role focused on building and evolving large-scale digital platforms using Python, Django, and modern cloud infrastructure. The position combines backend ownership, React-based frontend contributions, AWS and Kubernetes deployments, and practical use of AI tools to automate and accelerate development. It emphasizes end-to-end feature delivery, production reliability, and high autonomy within a senior engineering team. 🗂️ Requirements: Minimum 6 years of professional software engineering experience, Strong production experience with Python, Strong production experience with Django, Experience with JavaScript, Experience with React and modern hooks, Experience with AWS services, Experience with Kubernetes and container deployments, Experience building and maintaining production systems, Experience with API design, Experience with data modeling, Ability to design systems and make independent technical decisions, Ability to work with complex existing codebases 📃 Skills: Python, Django, JavaScript, React, AWS, Kubernetes, Docker, REST, CI/CD, APIs, Cloud, AI, LLM 🏢 Description: Client Our client is the world’s leading music company, committed to artistry, innovation, and entrepreneurship. Project overview This project focuses on building and evolving digital platforms that support music-related products and internal systems at a global scale. The work combines backend services, modern user interfaces, cloud infrastructure, and AI-driven automation to improve how software is built and delivered. Team You will work within a senior engineering team made up of backend, frontend, and infrastructure specialists. The team collaborates closely, values clear ownership, and focuses on shipping production-ready solutions with minimal overhead. Position overview We are looking for an AI Backend Engineer who combines strong Python and Django experience with a product-oriented mindset and a practical, hands-on approach to using AI in daily development work. You will own features end-to-end and contribute directly to both product and technical direction in a low-process, high autonomy environment. Technology stack Python, Django, JavaScript, React, AWS, Kubernetes, Docker, REST APIs, CI CD pipelines, cloud native infrastructure Responsibilities Build and maintain backend services using Python and Django in production environments Contribute to modern React-based frontend applications using current component patterns and hooks Design and deliver features end-to-end from concept through implementation, deployment, and iteration Use AI tools to accelerate development, automation, and product delivery Identify opportunities to replace manual or repetitive work with AI-driven solutions Collaborate with senior engineers on system design, architecture, and production reliability Contribute to AWS based infrastructure and Kubernetes deployments Improve CI CD pipelines and support stable and reliable production systems Take ownership of production services with minimal day-to-day oversight Requirements At least six years of professional software engineering experience Production experience with Python and Django Experience with JavaScript and React, including modern hooks and component architecture Experience working with AWS services Experience with Kubernetes and container-based deployments Background in building and maintaining production systems Experience with API design, data modeling, and system-level thinking Ability to make independent technical decisions and take responsibility for outcomes Ability to ramp up quickly in existing and complex codebases Strong written and verbal communication skills and a proactive ownership approach Nice to have Experience building AI-powered products or integrations, such as LLM-based features, agents, or automation tools Startup or founder experience Experience working in fast-moving teams with lightweight processes 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.)

🏢 Summary: The offer is for a backend-focused AI Engineer role building a modern AI platform for business process automation and multi-agent system integration in a production-grade enterprise environment. The position centers on developing scalable Python-based services, secure API integrations, and cloud-native AI solutions using LLMs and RAG. The role involves designing robust, secure, and scalable architectures deployed on AWS or Azure with containerized infrastructure. 🗂️ Requirements: Extensive experience in backend development with Python in production environments, Hands-on experience with AI Agents, RAG, MCP, or LLM-based solutions, Experience with system integrations and API architecture, Experience with scalable cloud-based applications, Experience with AWS or Azure, Experience with Docker and Kubernetes, Experience designing secure and scalable enterprise solutions, Experience with multi-agent systems and workflow automation, Ability to conduct code reviews and mentor developers, Fluent English and Polish 📃 Skills: Python, LLM, RAG, MCP, AWS, Azure, Docker, Kubernetes, API, Microservices, Cloud, AI, Agents 🏢 Description: Additional information The project focuses on building and developing a modern AI platform supporting business process automation and the integration of intelligent agents with enterprise systems. The team is creating scalable solutions based on Python, cloud technologies, and multi-agent architecture, leveraging technologies such as LLMs, RAG, and advanced workflow automation. A key aspect of the project is designing secure integrations between AI platforms, internal systems, and external APIs within a production-grade environment. The project is delivered in an international technology-driven environment with a strong focus on innovation, high-quality architecture, and the development of cutting-edge AI solutions for a global industrial organization. You’re ideal for this role if you: Have extensive experience in backend development with Python in production environments Have hands-on experience with AI technologies such as AI Agents, RAG, MCP, or LLM-based solutions Understand system integrations, API architecture, and scalable cloud-based applications Have worked with AWS or Azure and containerized environments such as Docker and Kubernetes Are experienced in designing secure and scalable enterprise solutions Have strong problem-solving skills and can proactively remove technical blockers Enjoy working closely with cross-functional teams in an international environment Have experience mentoring developers, conducting code reviews, and promoting engineering best practices Are interested in modern AI architectures, workflow automation, and multi-agent systems Communicate fluently in English and Polish and feel comfortable working in a global setup Your day-to-day responsibilities include:​ Designing and developing scalable backend services and AI-driven integration solutions in Python Building and maintaining APIs, connectors, and middleware between AI platforms and enterprise systems Creating and optimizing multi-agent workflows and intelligent automation processes Collaborating with AI Engineers, Data Engineers, and other technical stakeholders on system architecture and integrations Integrating external AI platforms, internal tools, and cloud services into production environments Working with cloud technologies and containerized infrastructure in AWS or Azure environments Improving the quality, reliability, and performance of AI-powered solutions and LLM-based workflows Conducting code reviews, mentoring team members, and supporting engineering best practices Troubleshooting technical issues, identifying bottlenecks, and driving continuous improvements Contributing to technical documentation, architecture discussions, and innovation initiatives across the team

🏢 Summary: Senior Python Engineer role focused on building and scaling a cloud-native real-time Data Platform handling massive datasets. The position involves developing high-performance backend services, optimizing distributed systems, and integrating large-scale data storage solutions. Hybrid work model in Warsaw with employment benefits including private medical care and multisport card. 🗂️ Requirements: 8+ years of backend software development experience, Advanced Python expertise, Experience with scalable production-grade systems, Knowledge of concurrency and multiprocessing, Experience with Pandas or NumPy, Experience with Parquet or JSON data formats, Knowledge of relational and NoSQL databases, Experience with performance optimization and low-latency systems, Ability to use AI-assisted development tools responsibly 📃 Skills: Python, Pandas, NumPy, Parquet, JSON, SQL, NoSQL, API, OOP, Concurrency, Multiprocessing, Algorithms, Databases, Cloud 🏢 Description: For our client, a leading, high-growth global fintech company – we are looking for an experienced Senior Python Engineer to join a key engineering team responsible for the company’s core data foundation. The project focuses on building, optimizing, and scaling a cloud-native, high-throughput Data Platform designed to ingest, process, and distribute massive datasets in real-time. This platform serves as the backbone for various downstream analytical systems, requiring extreme reliability, performance, and scalability. This is a fantastic opportunity for a strong Python generalist who enjoys solving complex distributed system problems, optimizing data flows, and working with modern cloud architectures. Responsibilities Backend & Pipeline Development: Design and develop scalable backend services and high-performance data processing pipelines using Python. Performance Tuning: Identify bottlenecks and optimize system performance, focus on concurrency, throughput, and low-latency execution. Data Integration & Storage: Build robust integrations with modern cloud-native storage solutions and databases to manage large-scale datasets efficiently. Collaborative Engineering: Work closely with cross-functional technical teams to understand data requirements and deliver reliable API services and platform features. Engineering Excellence: Maintain top-tier coding standards, emphasizing clean code, robust testing (unit/integration), automation, and security. Requirements 8+ years of professional backend software development experience (with a strong track record in building scalable, production-grade systems). Deep expertise in Python (advanced OOP, concurrency/multiprocessing, memory management, data structures, and algorithms). Solid experience with data-centric libraries such as Pandas, NumPy, or similar data processing frameworks. Experience with large-scale data storage formats (e.g., Parquet, JSON, or column-oriented databases) and relational/NoSQL databases. AI-assisted development mindset: Comfortable utilizing AI tools  to accelerate delivery, while maintaining strong developer judgment regarding validation, testing, security, and refactoring. What our client offers: Hybrid work model in Warsaw (minimum 3 days a week in the office - strictly non-negotiable). Contract of Employment (UoP) with increased tax-deductible costs (KUP). Private medical care (including full dental care). Lunch card to cover your daily meals. Multisport card.

🏢 Summary: Backend engineering role focused on building scalable Python services and APIs for an AI platform used by enterprise customers. The position involves developing production backend systems, integrating AI components, and improving reliability in a collaborative engineering environment. Offers modern AI tooling, cloud-native development exposure, and growth opportunities within an AI-focused product team. 🗂️ Requirements: 2–5 years of backend application development experience, Python, REST APIs, Backend services, SQL, PostgreSQL, Asynchronous programming, Background job processing, AWS, Azure, GCP, Testing, Version control, AI development tools, English B2 📃 Skills: Python, FastAPI, Django, PostgreSQL, SQL, AWS, Azure, GCP, Docker, Redis, RabbitMQ, Kafka, TypeScript, REST, Git, CI/CD, ChatGPT, Copilot, Codex, Claude 🏢 Description: About Us Many companies want to use AI agents, but these agents often struggle with real business tasks. We solve this problem by building a platform that helps AI understand business rules, workflows, and processes. This enables AI to make better decisions and provide accurate, reliable, and trustworthy results. Our technology is used by leading companies across multiple industries to automate up to 85% of customer cases, reduce handling time by 20–25%, and complete tasks that previously took hours in just seconds. We work with leading technology partners and have been recognized for our innovative approach. Our mission is to help people everywhere get better answers through AI. About the Role We are looking for a Mid Backend Engineer to help build scalable backend services that power our AI platform. You'll work closely with experienced backend engineers, frontend developers, product managers, and platform engineers to develop new features, improve existing systems, and deliver reliable production software. This is a great opportunity to work on modern AI infrastructure while growing your technical skills in a collaborative engineering environment. Responsibilities - Build and maintain backend services, APIs, and background processing systems. - Develop scalable application logic using Python. - Collaborate with product managers and engineers to deliver new product features. - Integrate backend services with databases, external APIs, and AI components. - Monitor, troubleshoot, and improve production services. - Write clean, maintainable, and well-tested code. - Participate in code reviews and engineering discussions. - Improve development workflows using AI tools and automation. - Continuously learn from production feedback and contribute to improving system reliability and performance. Requirements - 2–5 years of experience building production backend applications. - Good knowledge of Python. - Experience building REST APIs and backend services. - Understanding of relational databases (PostgreSQL or similar) and SQL. - Familiarity with asynchronous programming and background job processing. - Basic understanding of cloud platforms such as AWS, Azure, or GCP. - Understanding of software engineering best practices, testing, and version control. - Good communication skills and willingness to collaborate across engineering and product teams. - Experience using AI development tools such as GitHub Copilot, Claude Code, ChatGPT, or similar. - English at B2 level or higher. Nice to Have - Experience with FastAPI, Django, or similar Python frameworks. - Experience working with Docker and CI/CD pipelines. - Familiarity with Redis, RabbitMQ, Kafka, or similar messaging technologies. - Experience building AI-powered applications or integrating LLM APIs. - Basic knowledge of TypeScript or frontend development. - Interest in distributed systems and cloud-native architectures. What We Offer - 20,000–24,000 PLN B2B (depending on experience). - Company stock options. - MacBook Pro. - Modern technology stack with opportunities to contribute to open-source projects. - Access to advanced AI development tools, including GitHub Copilot, Claude Code, OpenAI Codex, TypingMind, and MCP Servers. - The opportunity to work on production AI systems used by enterprise customers. - A collaborative engineering culture focused on learning, ownership, and continuous improvement. - Career growth alongside experienced engineers in a fast-growing AI company. Our Culture and Values - Quality - We build reliable software with attention to detail and long-term maintainability. - Momentum - We move quickly, learn continuously, and improve through iteration. - Accountability - We take responsibility for our work and communicate openly. - Hard Work - We solve ambitious problems together and support each other along the way. - Learning Agility - We stay curious, embrace feedback, and continuously develop our skills. - Adapt and Thrive - We welcome change and see challenges as opportunities to improve. - Win Together - We collaborate, share knowledge, and succeed as one team.

🏢 Summary: Backend Software Engineer role focused on building and improving security-sensitive backend services and APIs for a global password and credential management product. The position involves designing robust business logic, access control systems, and integrations while ensuring high standards of security, reliability, and maintainability. Engineers contribute across the full development lifecycle in a collaborative, open-source-driven environment. 🗂️ Requirements: Production experience building backend applications with PHP, Strong knowledge of a modern PHP framework (CakePHP, Symfony or Laravel), Solid backend engineering fundamentals, Ability to design simple, robust solutions for complex problems, Experience with testing and maintaining high code quality, Ability to work on business logic, access control and security-sensitive systems, Collaborative working style with clear communication skills, Interest in security and privacy-focused software development 📃 Skills: PHP, CakePHP, Symfony, Laravel, SQL, PHPUnit, OpenAPI, Git, Docker, Linux, macOS, LDAP, OAuth, JWT, SCIM, WebAuthn, ActiveDirectory, JavaScript, Bash, Python, Go, Rust 🏢 Description: THE CLIENT Our client is a fast-growing cybersecurity product company rethinking how teams manage and share sensitive access. Their platform is trusted by 40,000+ organisations across 50+ countries - and growing fast. This is an engineering-led business: modern architecture, real technical challenges, and a strong focus on open source, privacy, and security. They’re building a fully remote, collaborative team and looking for engineers who take ownership and enjoy solving meaningful problems. If you want to work on a product with real impact at global scale - this is worth a conversation. THE ROLE: Our client is looking for a software engineer to join its Backend team and help build the systems behind its password and credential management products across Community, Enterprise and Cloud editions. This is a backend engineering role in a security-sensitive product environment. The API sits at the centre of how our client handles business logic, access rights, integrations, data integrity and long-term product reliability. The role is well-suited to an engineer who enjoys solving complex product problems, building sustainable systems, and balancing security, simplicity and maintainability. You would contribute across the full development lifecycle: understanding the problem, shaping the technical approach, implementing features, improving the codebase over time, and helping maintain a high standard of quality. This role will suit someone who likes ownership, thinks clearly about impact and trade-offs, and is motivated by building trustworthy software in an open-source environment. RESPONSIBILITIES: Build and improve backend services and API workflows across product suite Translate functional and product requirements into clear, reliable technical solutions Work on business logic, access control, integrations and security-sensitive application flows Help maintain and improve code quality, test coverage, performance and backward compatibility Contribute to technical design discussions and identify opportunities to simplify or strengthen the system over time Collaborate with product, support, security and engineering peers to refine and deliver solutions Contribute to documentation and knowledge sharing across the team CORE REQUIREMENTS: Experience building backend applications in production with PHP Strong backend engineering fundamentals with a modern framework such as CakePHP, Symfony or Laravel Ability to break down complex problems and design simple, robust solutions Good testing habits and attention to quality Comfort working across product, engineering and implementation questions - not just executing tickets Strong collaboration skills, openness to feedback, and a low-ego working style Interest in security, privacy, or building trustworthy software systems NICE TO HAVE: Experience working on security-sensitive applications or authentication / access-control problems Exposure to cryptography-related systems or secure integrations Experience with OpenAPI or well-structured public-facing APIs Experience maintaining long-lived software products Experience with directory integrations or identity systems such as LDAP, Active Directory, OAuth, JWT, SCIM or WebAuthn Experience contributing to open-source projects Familiarity with another language such as JavaScript, Bash, Python, Go or Rust Tools and technologies you’ll work with: You may work across technologies such as PHP, CakePHP, SQL, PHPUnit, OpenAPI, Git and Docker, in Linux and macOS-based development environments. We do not expect candidates to bring experience with every tool listed here. How you work You take ownership of problems, not just tasks You value simplicity and avoid over-engineering You communicate clearly and raise risks early You work well in an environment where feedback is frequent and constructive

🏢 Summary: Backend Software Engineer role focused on building and maintaining secure backend services and APIs for password and credential management products across Community, Enterprise, and Cloud editions. The position involves designing reliable business logic, access control mechanisms, and integrations in a security-sensitive environment. Engineers contribute across the full development lifecycle with strong emphasis on quality, maintainability, and security. 🗂️ Requirements: Commercial experience building backend applications in PHP, Experience with modern PHP frameworks (CakePHP, Symfony or Laravel), Strong backend engineering fundamentals, Ability to design robust solutions for complex problems, Experience writing tests and maintaining code quality, Understanding of security-sensitive systems or access control, Experience working with APIs and backend integrations, Proficiency with SQL and relational databases, Experience using Git for version control, Ability to work in Linux or macOS development environments 📃 Skills: PHP, CakePHP, Symfony, Laravel, SQL, PHPUnit, OpenAPI, Git, Docker, Linux, macOS, LDAP, OAuth, JWT, SCIM, WebAuthn, ActiveDirectory, JavaScript, Bash, Python, Go, Rust 🏢 Description: THE CLIENT Our client is a fast-growing cybersecurity product company rethinking how teams manage and share sensitive access. Their platform is trusted by 40,000+ organisations across 50+ countries - and growing fast. This is an engineering-led business: modern architecture, real technical challenges, and a strong focus on open source, privacy, and security. They’re building a fully remote, collaborative team and looking for engineers who take ownership and enjoy solving meaningful problems. If you want to work on a product with real impact at global scale - this is worth a conversation. THE ROLE: Our client is looking for a software engineer to join its Backend team and help build the systems behind its password and credential management products across Community, Enterprise and Cloud editions. This is a backend engineering role in a security-sensitive product environment. The API sits at the centre of how our client handles business logic, access rights, integrations, data integrity and long-term product reliability. The role is well-suited to an engineer who enjoys solving complex product problems, building sustainable systems, and balancing security, simplicity and maintainability. You would contribute across the full development lifecycle: understanding the problem, shaping the technical approach, implementing features, improving the codebase over time, and helping maintain a high standard of quality. This role will suit someone who likes ownership, thinks clearly about impact and trade-offs, and is motivated by building trustworthy software in an open-source environment. RESPONSIBILITIES: Build and improve backend services and API workflows across product suite Translate functional and product requirements into clear, reliable technical solutions Work on business logic, access control, integrations and security-sensitive application flows Help maintain and improve code quality, test coverage, performance and backward compatibility Contribute to technical design discussions and identify opportunities to simplify or strengthen the system over time Collaborate with product, support, security and engineering peers to refine and deliver solutions Contribute to documentation and knowledge sharing across the team CORE REQUIREMENTS: Experience building backend applications in production with PHP Strong backend engineering fundamentals with a modern framework such as CakePHP, Symfony or Laravel Ability to break down complex problems and design simple, robust solutions Good testing habits and attention to quality Comfort working across product, engineering and implementation questions - not just executing tickets Strong collaboration skills, openness to feedback, and a low-ego working style Interest in security, privacy, or building trustworthy software systems NICE TO HAVE: Experience working on security-sensitive applications or authentication / access-control problems Exposure to cryptography-related systems or secure integrations Experience with OpenAPI or well-structured public-facing APIs Experience maintaining long-lived software products Experience with directory integrations or identity systems such as LDAP, Active Directory, OAuth, JWT, SCIM or WebAuthn Experience contributing to open-source projects Familiarity with another language such as JavaScript, Bash, Python, Go or Rust Tools and technologies you’ll work with: You may work across technologies such as PHP, CakePHP, SQL, PHPUnit, OpenAPI, Git and Docker, in Linux and macOS-based development environments. We do not expect candidates to bring experience with every tool listed here. How you work You take ownership of problems, not just tasks You value simplicity and avoid over-engineering You communicate clearly and raise risks early You work well in an environment where feedback is frequent and constructive

🏢 Summary: Senior Full-Stack Engineer role focused on building and scaling an AI-powered document processing and automation platform in a cloud environment. The position involves developing backend services in Python and front-end applications in TypeScript while delivering scalable APIs, microservices, and data workflows. The role requires hands-on contribution to architecture, cloud deployment, and integration of AI-driven features. 🗂️ Requirements: 6+ years of professional software engineering experience, Strong proficiency in Python, Experience with FastAPI, Flask, or Django, Solid experience with TypeScript, Experience with React or Next.js, Hands-on experience designing and implementing microservices, Experience building and integrating REST APIs, Strong knowledge of relational or NoSQL databases, Experience with AWS or Azure, Familiarity with CI/CD pipelines, Experience with Docker, Proficiency with Git, Understanding of scalability, reliability, performance, and security principles 📃 Skills: Python, FastAPI, Flask, Django, TypeScript, React, Next.js, REST, Microservices, PostgreSQL, MySQL, MongoDB, Firestore, AWS, Azure, Docker, Git, CI/CD 🏢 Description: Client Overview Our client is a global UK-based financial services and investment banking organization developing an AI-powered document processing and automation platform used across multiple business units. The platform focuses on large-scale data processing, workflow automation, integration with internal systems, and delivering modern digital capabilities for the wider banking group. Position Overview We are looking for a Senior Full-Stack Engineer to join a cross-functional engineering team building core components of the AI-driven document processing platform. This position requires strong backend engineering experience with Python as well as solid front-end or full-stack proficiency with TypeScript (preferably React, Next.js, or similar frameworks). You will work on delivering scalable APIs, microservices, data workflows, and UI components that power document automation features, internal tools, and operational dashboards. The role involves close collaboration with product, architecture, GenAI, and platform engineering teams. This role is ideal for someone who is hands-on, highly technical, and comfortable designing, developing, and deploying production-grade systems in cloud environments (preferably Google Cloud). Key Responsibilities Design, develop, and maintain backend services using Python (FastAPI, Flask, Django, or similar frameworks). Build front-end components and UIs using TypeScript (React, Next.js, or similar frameworks). Develop and integrate REST APIs and microservices, ensuring strong performance, reliability, and observability. Collaborate closely with GenAI engineers to integrate AI-driven features and document-processing flows. Implement data processing pipelines for structured and unstructured data. Contribute to the platform’s architecture, design patterns, and technical decision-making. Write automated tests and ensure a high level of code quality, maintainability, and security. Partner with product managers, designers, and QA engineers to deliver high-quality solutions on time. Document code, service interfaces, workflows, and architectural decisions. Requirements 6+ years of professional software engineering experience, with significant work in both backend and full-stack roles. Strong proficiency in Python (FastAPI, Flask, Django, or similar). Solid experience with TypeScript and modern front-end frameworks (React, Next.js, or similar). Hands-on experience designing and implementing microservices, APIs, and backend systems. Strong understanding of databases: relational (PostgreSQL, MySQL) and/or NoSQL (MongoDB, Firestore). Experience with any cloud providers (AWS/Azure). Familiarity with CI/CD pipelines, Docker, Git, and modern DevOps practices. Strong understanding of software engineering principles: scalability, reliability, performance, and security. Experience working in agile, cross-functional teams on complex products. Excellent communication skills and ability to work with both technical and non-technical stakeholders. Nice to Have Experience working with AI/ML or GenAI-driven systems. Experience with Google Cloud Platform Familiarity with Vertex AI, Gemini, or integration with LLM-powered services. Experience with WebSockets, event-driven architectures, or Pub/Sub. Knowledge of authentication/authorization standards (OAuth2, JWT, IAM). Experience with document processing, OCR, or workflow automation.

🏢 Summary: Senior Backend Engineer role focused on designing, developing, and deploying scalable backend services and platform infrastructure using Python and FastAPI. The position involves working with PostgreSQL, Kubernetes, and CI/CD pipelines to deliver production-ready, high-performance systems. You will collaborate with cross-functional teams to build reliable, automated, and maintainable backend solutions. 🗂️ Requirements: 5+ years backend development experience in production environments, Strong proficiency in Python and FastAPI, Experience with relational databases, preferably PostgreSQL, Experience with TypeScript and Nx for tooling or automation, Hands-on experience with Kubernetes and Helm, Experience with Docker and containerization practices, Experience designing and maintaining CI/CD pipelines, Experience with observability, logging, and monitoring tools, Strong system design and problem-solving skills 📃 Skills: Python, FastAPI, PostgreSQL, TypeScript, Nx, Kubernetes, Helm, Docker, GitHubActions, CI/CD, AWS, GCP, Azure, Monitoring, Logging 🏢 Description: Our client is a leading European tech company building scalable, high-performance backend services and platforms for enterprise and AI-driven applications. Our mission is to combine cutting-edge backend technologies with reliable, automated DevOps practices, ensuring secure, maintainable, and high-quality systems for our clients. As a Senior Backend Engineer (Python / FastAPI) , you will play a key role in designing, developing, and deploying backend services, internal tools, and platform infrastructure. You will collaborate closely with product teams, frontend engineers, and DevOps to deliver robust, scalable, and production-ready solutions. Responsibilities: Develop and maintain backend services using Python (FastAPI) Work with PostgreSQL to design schemas, optimize queries, and ensure data integrity Build and maintain internal CLI tools using TypeScript Manage a monorepo using Nx Manage deployment workflows and infrastructure using Kubernetes (K8s) and Helm Implement CI/CD pipelines using GitHub Actions for automated testing and deployment Collaborate with cross-functional teams to improve system architecture, reliability, and scalability Troubleshoot and optimize performance across backend services and infrastructure Requirements: 5+ years of experience in backend development in a production setting with real users Strong proficiency in Python , especially building APIs with FastAPI Solid experience with relational databases, preferably PostgreSQL Experience with TypeScript / Nx for tooling or automation tasks Hands-on experience with Kubernetes (K8s) and Helm Familiarity with containerization best practices (Docker) Experience designing and maintaining CI/CD pipelines (GitHub Actions or similar) Strong problem-solving skills, system design thinking, and attention to detail Exposure to observability, logging, and monitoring tools Nice to Have: Experience with cloud platforms (AWS, GCP, Azure) Exposure to observability, logging, and monitoring tools Experience integrating backend systems with frontend or AI/ML pipelines Technology Stack: Backend: Python (FastAPI), PostgreSQL DevOps / Platform: Kubernetes (K8s), Helm, CI/CD (GitHub Actions) Internal tooling: TypeScript / Nx for CLI and automation tools Other: Docker, cloud infrastructure (AWS/GCP/Azure), monitoring and observability

🏢 Summary: Senior backend‑heavy fullstack engineer to build a greenfield prenatal screening diagnostics product, owning features end‑to‑end across backend and frontend. The role focuses on Java/Spring Boot architecture, data modeling, APIs, and AWS infrastructure, with React/TypeScript contributions as needed. AI coding tools are expected as a core part of daily development in a regulated, production environment. 🗂️ Requirements: Strong Java and Spring Boot expertise, Experience designing APIs and domain models, Solid understanding of OOP and SOLID principles, Ability to define service boundaries and system architecture, Working proficiency in React and TypeScript, Proven experience using AI coding tools in daily development, Experience writing unit, integration, and API tests, Experience with PostgreSQL schema design and query optimization, Experience deploying and operating workloads on AWS, Ability to work in greenfield, ambiguous environments 📃 Skills: Java, Spring, SpringBoot, React, TypeScript, PostgreSQL, AWS, ECS, EKS, RDS, Lambda, S3, OOP, SOLID, REST, AI, Claude, Cursor, Testing 🏢 Description: Our client — a global leader in healthcare and diagnostics — is building a new prenatal screening diagnostics product from the ground up. We are looking for a senior backend‑heavy fullstack engineer who can own features end‑to‑end — from data modeling and APIs to the UI. The role offers real ownership within a highly regulated, impact‑driven product environment. Using AI tooling as a core part of daily engineering work is expected — not as an experiment, but as a standard way of building and delivering software. What You'll do: Own features end-to-end: design, implement, test, deploy, and maintain across the full stack. Work split ~80% backend, 20% frontend. Make foundational architectural decisions on a greenfield codebase — data models, API contracts, service boundaries, test strategy Build and maintain the Java/Spring Boot backend that powers the product's core logic Contribute to the React/TypeScript frontend when needed — you're backend-primary, but you ship UI when the team needs it Integrate AI coding tools into your daily workflow to accelerate delivery while maintaining code quality — and help the team adopt these practices Collaborate directly with product stakeholders to refine requirements in a fast-moving, low-ceremony environment Requirements: Strong Java and Spring Boot expertise — clean API design, domain modeling, sound architectural trade-offs. You think in terms of service boundaries, data flow, and maintainability, not just making it work Solid grasp of software design principles — object-oriented programming, SOLID, clean architecture, separation of concerns. You write code that the next person can read, extend, and trust. You know when a pattern helps and when it's ceremony Working proficiency in React and TypeScript — you can pick up frontend tasks, build components, and integrate with backend APIs independently Proven experience integrating AI coding tools (Claude Code, Cursor, or equivalent) into daily development workflow — including prompt design for code generation, output validation, and actively preventing AI-generated technical debt. You can describe concrete examples of where AI accelerated your delivery and where you chose to override it Testing as a professional discipline, not a checkbox — you write unit, integration, and API tests as part of delivery, own the test pyramid decisions, and treat untested code as unfinished code PostgreSQL — schema design, query optimization, migrations in a production context AWS experience — you've deployed and operated production workloads on AWS (ECS/EKS, RDS, Lambda, S3) and can make informed infrastructure decisions Comfort working in ambiguous, greenfield settings — you define scope with stakeholders rather than waiting for pre-scoped tickets Nice-to-Have: Infrastructure as Code (Terraform) Healthcare, diagnostics, or regulated-environment experience Security hardening practice — threat modeling, dependency scanning, secure defaults Observability tooling (CloudWatch, Prometheus, Grafana) CI/CD pipeline design (GitHub Actions or similar) Our offer: Permanent full-time contract (B2B contract) Ability to work entirely remotely or in one of our cool offices around Poland International project environment - challenging and rewarding projects Access to private medical service, life insurance, and multisport card Access to training and certificate courses (including free access to Udemy training platform) Cafeteria Benefits System - vouchers for purchases and sevices Awesome company events and parties