דרושים Applied Scientist Eu Intech ב-אמזון ב-צרפת

We are seeking an experienced Software Development Engineer in Test to design, develop, and maintain advanced testing frameworks and tools for our healthcare product ecosystem. You will work at the intersection of software development and quality engineering, building scalable automation solutions, test infrastructure, and quality tools that enable rapid, reliable delivery of healthcare products.Key job responsibilities
* Design, develop, and effectively apply automated solutions that test major portions of software (significant components, features, mid-size applications, services)
* Build complete test and measurement solutions (performance, load, scalability, usability, etc.)
* Build and maintain CI/CD pipelines with integrated quality gates and automated testing
* Develop custom testing tools and utilities to support complex healthcare testing scenarios
* Create and maintain API testing frameworks for microservices and distributed systems
* Use data from testing, deployment, and production to measure quality and provide actionable improvement to the product
* Assess the testability of components/features built by development teams (instrumentation, modularity, APIs allow for verification)
* Review development changes to prevent failure cases and ensure code is tested at appropriate levels
* Define, implement, and analyze metrics to determine test effectiveness and overall software quality
* Apply software testing techniques such as equivalence class partitioning, boundary value testing, etc.
* Prevent and find defects early in the development cycle
* Collaborate with development teams to implement testability features in products
* Mentor team members on automation best practices and advanced testing techniques
* Drive adoption of testing best practices across multiple development teams
* Implement security testing automation and compliance validation tools
* Actively participate in code review process, design discussions, planning, and post-mortem reviews

- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Experience in penetration testing and exploitability-focused vulnerability assessment
- Experience in platform-level security mitigations and hardening for Linux and Windows
- Bachelor's or Master's degree in Computer Science, Engineering, or related technical field
- 4+ years of software development experience with strong programming skills (meets SDE-T II tech bar)
- Proficiency in multiple programming languages (Java, Python, JavaScript, C#, or Go)
- Solid understanding of software design patterns and test strategy
- Ability to work independently and with team to deliver software successfully
- Strong experience with test automation frameworks and tools (Selenium, Cypress, TestNG, JUnit)
- Experience building and maintaining CI/CD pipelines (Jenkins, GitLab CI, AWS CodePipeline)
- Solid understanding of software architecture, design patterns, and system design
- Experience with API development and testing (REST, GraphQL, gRPC)
- Knowledge of database technologies and data testing strategies
- Experience with cloud platforms and infrastructure as code (AWS preferred)
- Strong understanding of distributed systems and microservices testing
- Experience with containerization and orchestration (Docker, Kubernetes)
- Ability to solve difficult technical problems with testable, maintainable, and efficient solutions
- Experience designing and developing automated solutions that test major portions of software
- Ability to constructively identify problems and propose solutions
- Excellent problem-solving and system design skills
- Strong communication and collaboration abilities
- Established good working relationships with teammates and peers

- Knowledge of overall system architecture, scalability, reliability, and performance in a database environment
- Experience with security in service-oriented architectures and web services
- Experience in healthcare, pharmaceutical, or highly regulated industry development
- Knowledge of healthcare standards and compliance requirements (HIPAA, HL7, FHIR, FDA)
- Advanced AWS experience with services like Lambda, ECS, RDS, DynamoDB, API Gateway
- Experience with infrastructure as code tools (Terraform, CloudFormation, CDK)
- Knowledge of machine learning model testing and data pipeline validation
- Experience with chaos engineering and resilience testing frameworks
- Familiarity with security testing tools and practices (OWASP, penetration testing)
- Experience with mobile application testing frameworks and device farms
- Knowledge of accessibility testing automation (WCAG compliance)
- Experience with big data testing and analytics validation
- Familiarity with blockchain or distributed ledger testing (for health records)
- Experience with real-time systems and event-driven architecture testing

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.We’re looking for Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
Key job responsibilities
As a Data Scientist, you will,
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- Bachelor's OR Master degree with several years of experience
- Several years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning
- Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet- Excellent French and English communication skills

- PhD or Masters degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field
- Practical experience in solving complex problems in an applied environment
- Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer)
- Prior experience in training and fine-tuning of Large Language Models (LLMs)Amazon est un employeur engagé pour l'égalité des chances. Nous sommes convaincus qu'une main d'oeuvre diversifée est essentielle à notre réussite. Nous prenons nos décisions de recrutement en fonction de votre expérience et de vos compétences. Nous apprécions votre envie de découvrir, d'inventer, de simplifier et de construire. La protection de votre vie privée et la sécurité de vos données constituent depuis longtemps une priorité absolue pour Amazon. Veuillez consulter notre Politique de Confidentialité pour en savoir plus sur la façon dont nous collectons, utilisons et traitons les données personnelles de nos candidats.

We’re looking for Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.Key job responsibilitiesDiverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- Bachelor's degree or Master's degree
- Several years relevant experience in building large scale machine learning or deep learning models and experience in data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high- performance computing, neural deep learning methods and/or machine learning
- Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet
- Experience communicating across technical and non-technical audiences

- PhD or Masters degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field
- Practical experience in solving complex problems in an applied environment
- Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer)
- Prior experience in training and fine-tuning of Large Language Models (LLMs)
- Knowledge of AWS platform and toolsAmazon est un employeur engagé pour l'égalité des chances. Nous sommes convaincus qu'une main d'oeuvre diversifée est essentielle à notre réussite. Nous prenons nos décisions de recrutement en fonction de votre expérience et de vos compétences. Nous apprécions votre envie de découvrir, d'inventer, de simplifier et de construire. La protection de votre vie privée et la sécurité de vos données constituent depuis longtemps une priorité absolue pour Amazon. Veuillez consulter notre Politique de Confidentialité pour en savoir plus sur la façon dont nous collectons, utilisons et traitons les données personnelles de nos candidats.

This is a 1 year FTC role.
Key job responsibilities
You are good at:
• Working on complex loosely defined analytics problems and defining the team's Business Intelligence (BI) strategy. Delivering independently, and influencing the organization's BI architecture
• Providing analytics solutions for complex business problems. Building analyses/solutions that are robust, extensible and scalable. Communicating effectively with management audiences (e.g., narratives, inputs into Business Reviews). Refining Business Intelligence strategies that cross teams and making technical trade-offs for long term/short-term needs.
• Designing and implementing technical solutions with an appropriate analytics strategy and data set design. Understanding system limitations, scaling factors, boundary conditions, and/or the reasons for technical decisions
• Providing analyses, frameworks and solutions that inform multiple teams' business decisions and highlight new opportunities
• Driving best practices in operational excellence, data modelling, and analysis

- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with SQL
- Experience in the data/BI space

Amazon est un employeur engagé pour l'égalité des chances. Nous sommes convaincus qu'une main d'oeuvre diversifée est essentielle à notre réussite. Nous prenons nos décisions de recrutement en fonction de votre expérience et de vos compétences. Nous apprécions votre envie de découvrir, d'inventer, de simplifier et de construire. La protection de votre vie privée et la sécurité de vos données constituent depuis longtemps une priorité absolue pour Amazon. Veuillez consulter notre Politique de Confidentialité pour en savoir plus sur la façon dont nous collectons, utilisons et traitons les données personnelles de nos candidats.

We have a roadmap focused on expanding the Warranty Repairs Program to comply with the regulation changes around repairs in the EU. In March 2023, the EU Commission released the draft for the "Right to Repair" to increase the useful lives of products through repair. It proposes that sellers shall be required to offer repair of a defective item whenever it is cheaper to repair than replace within the legal guarantee period (≥2 years of purchase). To comply with the regulation, (1) we will build self-service repair onboarding experiences for vendors and repair partners, enabling us to scale the existing repair offering to most of warranty cases in focus categories and as much as possible across all remaining repairable categories; (2) we will expand these tools to 3P sellers, thus allowing them to comply as well; (3) we will mitigate gaps in the current customer experience.Key job responsibilities
In this role, you will:
- Use analytic tools and languages (notably SQL), and present analytical results and insights using multiple methods, including written summaries and visualization/reporting tools such as Tableau.- Propose and prioritize changes to reporting and create additional metrics and processes based on program changes and customer requirements.

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience writing complex SQL queries
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Amazon est un employeur engagé pour l'égalité des chances. Nous sommes convaincus qu'une main d'oeuvre diversifée est essentielle à notre réussite. Nous prenons nos décisions de recrutement en fonction de votre expérience et de vos compétences. Nous apprécions votre envie de découvrir, d'inventer, de simplifier et de construire. La protection de votre vie privée et la sécurité de vos données constituent depuis longtemps une priorité absolue pour Amazon. Veuillez consulter notre Politique de Confidentialité pour en savoir plus sur la façon dont nous collectons, utilisons et traitons les données personnelles de nos candidats.

Key job responsibilities

- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 4+ years of professional software development experience.
- Proficiency in at least one modern programming language such as Java, C++, C#, or Python.
- Strong computer science fundamentals, including object-oriented design, data structures, and algorithms.
- Professional working proficiency in English.

Amazon est un employeur engagé pour l'égalité des chances. Nous sommes convaincus qu'une main d'oeuvre diversifée est essentielle à notre réussite. Nous prenons nos décisions de recrutement en fonction de votre expérience et de vos compétences. Nous apprécions votre envie de découvrir, d'inventer, de simplifier et de construire. La protection de votre vie privée et la sécurité de vos données constituent depuis longtemps une priorité absolue pour Amazon. Veuillez consulter notre Politique de Confidentialité pour en savoir plus sur la façon dont nous collectons, utilisons et traitons les données personnelles de nos candidats.

We seek individuals who bring a deep technical skill set in Development, Operations, Networking, and Systems Engineering, and who understand the Agile mindset and DevOps philosophies. We welcome engineers willing to think differently, redesigning systems, processes, and tools to deliver operational excellence on a massive scale.This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work.Key job responsibilities
Enhance Regional Reliability: Expand regional coverage for AWS’s critical services.
Support National Security: Partner with U.S. Intelligence and Defense agencies to ensure mission resilience, implementing secure, reliable, and scalable cloud solutions.A day in the life
On a typical day, you’ll work alongside our service engineers and preemptively resolve potential issues, drive automation efforts, and consult with leading technical experts within AWS. You’ll help build and operate high-performing systems that will be critical in reducing operational burden for other AWS Dedicated Cloud teams, enhancing regional reliability through scalability, innovation, and automation. You will help us reimagine and continuously improve reliability engineering.
Why AWS
Utility Computing (UC)Work/Life Balance
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

- High school or equivalent diploma, or A+ or CND (Certified Network Defender) or Network+ or Security+
- 2+ years of systems administration experience (Linux/Windows or Networking)
- 2+ years of experience using debugging and systems analysis skills to be able to identify and quickly resolve/mitigate issues
- Current, active US Government Security Clearance of Top Secret with SCI eligibility or above

- Excellent troubleshooting skills at all levels, from application to network to host
- 2+ years experience with cloud computing, systems administration, DevOps, site reliability engineering, software development, and/or network administration
- Experience working with at least one scripting or programming language
- Experience with the Linux command line interface
- In lieu of above relevant work experience, a degree in Computer Science, Engineering or a related field