Dabei arbeitest du eng mit Infrastruktur-, Applikations- und Cloud-Teams zusammen und entwickelst Datenbankplattformen strategisch weiter – in der Cloud und On-Premises. Architekturverantwortung und Design: Du verantwortest Design, Architektur und Weiterentwicklung von PostgreSQL-Datenbanklandschaften sowie hybriden Umgebungen mit Oracle, Microsoft SQL Server oder MongoDB.
Dabei agierst du als zentrale technische Ansprechperson für Architektur-, Migrations- und Transformationsprojekte. Architektur und Design: Du unterstützt bei Konzeption, Design und Weiterentwicklung von PostgreSQL-Datenbanklandschaften sowie hybriden Plattformen mit Oracle, Microsoft SQL Server oder MongoDB.
We are currently looking for a skilled Senior Quality Assurance Engineer (m/f/d) to join the Checkout Unit onsite in Hamburg or Berlin. What you will do: Focus on the design, development, and execution of automated end-to-end tests Manage and prioritize bug reports, keeping their business value in mind Lead regression testing, identify and resolve defects to ensure the stability of high-traffic customer interactions and transactions Analyze complex workflows, data flows, and database interactions to identify potential areas for improvement in test coverage and performance Report bugs and reproduce them throughout the complete bug cycle Coordinate testing efforts to ensure the delivery of quality features Advocate for product quality within cross-functional teams Contribute to ABOUT YOU’s long-term automation strategy in testing Who you are: 4+ years of experience in QA, testing, and debugging REST backend applications, with strong knowledge of HTTP methods, status codes, headers, and error handling Proficient in API validation against OpenAPI/Swagger specifications 4+ years of experience with JavaScript/TypeScript or other OOP languages, using frameworks like Mocha/Playwright, and GitlabCI 2+ years of experience working with relational and NoSQL databases, focusing on integration and data flows Passionate about automation and building maintainable test suites that provide continuous feedback, with strong skills in both exploratory and automated testing Experienced with agile methodologies Excellent communication skills, including fluent written and spoken English for clear collaboration Solid understanding of transaction systems, gateways, customer data, and large-scale database structures Committed to identifying and addressing issues early, ensuring high-quality customer-facing features and services Benefits Hybrid working Fresh fruit every day Sports courses Free access to code.talks Exclusive employee discounts Free drinks Language courses Company parties Help in the relocation process Mobility subsidy Central Location Flexible Working Hours Professional training Dog-friendly office Feedback Culture Job Bikes YOU ARE THE CORE OF ABOUT YOU We take responsibility for creating an inclusive and exceptional environment where all genders, nationalities, and ethnicities feel welcomed and accepted exactly as they are.
PHP Laravel Vue.js TypeScript What you will do Own the end-to-end architecture of modular add-ons (backend, frontend, integrations) and ensure scalability, security, and maintainability Design and implement advanced backend logic (Laravel, queues, events) and complex database schemas optimized for high-traffic e-commerce environments Oversee frontend integration within a micro-frontend setup (SingleSpa), ensuring seamless performance and UX consistency Lead CI/CD, semantic versioning, Docker-based environments, and release processes with stable rollouts Ensure production reliability through monitoring, alerting, and proactive incident response (e.g., DataDog, AWS environments) Act as technical lead and final reviewer, mentoring engineers, enforcing high code quality standards, and driving architectural consistency Who you are 10+ years of experience building, scaling, and operating complex fullstack web applications in production environments, ideally within e-commerce or SaaS ecosystems Expert proficiency in PHP (8.x) and Laravel (including Middleware, Queues, Events, Gates/Policies), along with strong experience in Vue.js 3, TypeScript, and modern state management (e.g., Pinia) Deep architectural expertise in designing secure, multi-tenant, and distributed systems, with strong understanding of SOLID/DRY principles and long-term maintainability Advanced database and performance engineering skills (MySQL/RDS, complex schema design, indexing strategies, Redis caching) in high-traffic environments Proven ownership of DevOps-adjacent responsibilities, including Docker-based environments, CI/CD pipelines, semantic versioning, AWS infrastructure awareness, and production monitoring/alerting Strong technical leadership skills: mentoring senior engineers, conducting high-quality code reviews, decomposing complex problems, and translating technical decisions into clear business impact Benefits Hybrid working Fresh fruit every day Sports courses Exclusive employee discounts Language courses Company parties Help in the relocation process Mobility subsidy State-of-the-art technology Flexible Working Hours Company pension Professional training Dog-friendly office AY Academy Feedback Culture Job Bikes YOU ARE THE CORE OF SCAYLE.
YOUR TASKS Design, develop, and maintain full-stack applications (C#, Python, ASP.NET, SQL) to support and improve internal load calculation workflows.
YOUR TASKS Design, develop, and maintain full-stack applications (C#, Python, ASP.NET, SQL) to support and improve internal load calculation workflows.
What you will do Own and evolve the Commerce Cloud’s AWS infrastructure through the application of Infrastructure-as-Code (IaC) principles to ensure scalability, high availability, and cost efficiency Design, implement, and optimize CI/CD pipelines and operational workflows utilizing tools such as GitLab CI, AWS CloudFormation, and Terraform.
elasticsearch AWS Python Google BigQuery Google Cloud Platform Numpy Pandas Gitlab What you will do Design and develop innovative algorithms to power a personalized shopping experience, leveraging cutting-edge machine learning techniques Deploy your solutions into production, taking full ownership and ensuring high performance and scalability Combine your data science expertise with a pragmatic, agile approach to find innovative solutions and drive measurable results within a fast-paced environment Challenge the status quo by identifying areas for improvement in existing retrieval and reranking systems, particularly those relying heavily on business logic, and propose data-driven solutions Thrive in a dynamic, fast-paced environment with a flat hierarchy, where your ideas and contributions can make a real difference Who you are Proficiency in Python or experience with at least one scientific computing language (e.g., MATLAB, R, Julia, C++) Strong SQL skills with experience in analytical or transactional database environments Theoretical understanding of machine learning principles, coupled with a hands-on approach to building and iterating on models Proven experience in building and deploying machine learning solutions that deliver tangible business value Strong understanding of data structures, algorithms, and tools for efficiently handling large datasets (e.g. pandas, numpy, dask, arrow, polars, …) Experience designing, building, and managing data pipelines Familiarity with cloud-based model training and serving platforms (e.g., GCP Vertex AI, Amazon SageMaker) Solid understanding of statistical methods for model evaluation Big Data: Experience analyzing large datasets using statistical and machine learning techniques DevOps: Familiarity with CI/CD tools (e.g., GitLab CI/CD, Hashicorp Terraform) is a plus Generative AI: Experience with generative AI and agentic frameworks (e.g., LangChain, ADK, CrewAI, Pydantic AI, …) is a plus Understanding of recommendation, retrieval and reranking systems in e-commerce and retail is a plus Excellent written and verbal communication skills in English Ability to effectively communicate complex machine learning concepts to both technical and non-technical stakeholders Proven ability to collaborate effectively within a team to establish standards and best practices for deploying machine learning models A proactive approach to knowledge sharing and fostering a quick development environment Nice to have Experience with BigQuery Knowledge of time series and (graph) neural network models Familiarity with statistical testing and Gaussian Processes Strong Knowledge of Computer Vision libraries, (e.g.
Exceptional problem-solving and algorithmic thinking skills, coupled with a deep understanding of software design patterns and clean code principles. Expert-level knowledge and practical experience in building modern, scalable web applications using React, TypeScript, and advanced CSS/Styling techniques.
Exceptional problem-solving and algorithmic thinking skills, coupled with a deep understanding of software design patterns and clean code principles. Expert-level knowledge and practical experience in building modern, scalable web applications using React, TypeScript, and advanced CSS/Styling techniques.