Full Stack Engineer Poland

Zoolatech; Wrocław; Hybrid; PLN 150,000 - 230,000; Full time

Job summary

Pandora is seeking a Full Stack Engineer to help build scalable AI services on the Azure cloud. You will contribute across backend and frontend surfaces, integrate AI features, and ensure secure, reliable production-ready platforms.

You will work with Data Scientists, ML Engineers, and Product stakeholders, focusing on high-performance Python backend, Kubernetes workloads, and CI/CD pipelines, with opportunities to influence end-to-end experiences.

Qualifications

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.
• 3–6 years of experience as a Full-Stack or Backend Engineer with emphasis on backend/platform engineering.
• Experience with generative AI features or LLM-based integrations in a product or platform context.
• Retail/e-commerce experience is highly desirable.

Responsibilities

• Design and develop scalable backend services and platform components that expose AI/ML capabilities.
• Build, secure, and operate containerized workloads on Kubernetes, including configuration management and observability.
• Design and implement high-performance production-grade backend in Python; other languages (Rust/Go) welcomed for performance.
• Collaborate with cross-functional teams to productize AI solutions on Azure.

Skills

Backend engineering

Python

Kubernetes

Azure

REST API design

CI/CD

Testing

Docker

LLM integration

Performance

Education

Bachelor's or Master's in Computer Science or related field

Tools

Docker

Kubernetes

Azure App Services

PostgreSQL

Kong / Azure API Management

Job description

As a Full Stack Engineer at Pandora, you will play a critical role in building scalable, resilient AI services and platform capabilities that bring advanced AI to production. Your primary focus is infrastructure and backend engineering, designing and operating high performance standardized systems, while your full-stack experience enables you to contribute across the product surface and integrate AI features seamlessly into end-to-end experiences. You will collaborate closely with Data Scientists, ML Engineers, MLOps, and Product stakeholders to build the backbones for production-grade AI-powered solutions on the Microsoft Azure platform, ensuring our systems are secure, scalable, efficient and maintainable. We're seeking someone with great written and spoken communication who combines strong technical craft with a pragmatic approach to shipping high-quality platform services. You thrive in fast-paced environments, enjoy solving complex engineering and infrastructure challenges, and are passionate about turning innovation into reliable, production-ready platforms. Join us to help shape the future of intelligent applications in a collaborative, forward-thinking, and impact driven team.

• Design and develop scalable backend services and platform components that expose AI/ML capabilities, contributing to frontend surfaces where needed.
• Build, secure, and operate containerized workloads on Kubernetes, including configuration management, observability, debugging, and security hardening.
• Design and implement high-performance, production-grade backend in Python, with openness to systems-level languages (Rust or Go) where performance and scalability demands require it.
• Collaborate with cross-functional teams to productize AI solutions on Azure, applying domain knowledge to configure and critically evaluate the infrastructure and AI gateway layers that underpin those solutions.
• Build and manage CI/CD pipelines for deployment, testing, and monitoring of AI enabled applications.
• Ensure performance, availability, and maintainability of solutions in production and handle incidents in a timely manner to reduce MTTC.
• Participate in code reviews and architecture discussions to enforce engineering best practices.
• Stay current with industry trends and contribute to continuous improvement of development processes

Education: Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.

• Experience:3–6 years of experience as a Full-Stack or Backend Engineer, with a demonstrable emphasis on backend and platform engineering.
• Experience working with generative AI features or LLM-based integrations in a product or platform context.
• Retail industry or e-commerce experience is highly desirable.

Technical Skills:Strong backend engineering fundamentals, including service architecture, REST API design, performance optimization, and production reliability; hands-on experience with Docker, Kubernetes, and Azure App Services.Proficient in Python for backend development; experience with high-performance languages such as Rust or Go is a plusExperience with platform-level testing (API integration, load/performance with Locust/k6, authentication flows, E2E for ML endpoints) and test automation in CI/CD pipelines.Hands-on Kubernetes experience, including workload configuration, networking, security, and production debugging; familiarity with Azure cloud services and network configurationExperience with ML serving infrastructure, including optimization, multi-layer caching, and exposing AI-powered features using LLM APIs and prompt integrationStrong proficiency in PostgreSQL, with experience in data querying and analysisExperience configuring API/AI gateways (e.g., Kong or Azure API Management) for production-scale workloads is a plusFrontend exposure (HTML, CSS, JavaScript, React or Next.js) is beneficial but not required

Soft Skills:Excellent problem-solving skills and the ability to work independently and as part of a team.Strong communication skills, with the ability to translate complex technical concepts into clear product and platform outcomes.A proactive approach to learning and innovation, with a curiosity about the evolving generative AI and cloud-native landscape.Fantastic team player and collaborator

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