Senior Mainframe Migration Delivery Consultant jobs at Amazon in France

GenAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud.As a Senior Machine Learning Engineer in GenAIIC, you are proficient in developing and deploying advanced ML models and pipelines to solve diverse customer problems using Gen AI. You will be working alongside scientists with terabytes of text, images, and other types of data and develop Gen AI based solutions to solve real-world problems. You'll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.Key job responsibilities
- Solve complex technical problems, often ones not solved before, at every layer of the stack.
- Design, implement, test, deploy and maintain innovative ML solutions to transform service performance, durability, cost, and security.
- Build high-quality, highly available, always-on products.
A day in the life
As you design and code solutions to help our team drive efficiencies in ML architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also:
- Participate in design discussions, code review, and communicate with internal and external stakeholders.- Work in a startup-like development environment, where you’re always working on the most important stuff.About the team
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

- 5+ years of non-internship professional software development experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience building complex software systems that have been successfully delivered to customers
- Experience as a mentor, tech lead or leading an engineering team
- 5+ years experience in data querying languages (e.g. SQL), scripting languages (e.g. Python) with exposure to machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalentAmazon 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
1. Demonstrate flexibility to work within different queues, with increased complexity or specialization based on current business needs
2. Perform quality audits for BAP team and handle escalations
3. Provide support as and when required for overtime, deep dives, mentoring new batches, escalations and cross training
4. Ensure compliance with procedures and SLAs while achieving quality and performance metrics (Meet or exceed all Goals). Work on the Core queues and willing to switch between different functions as per business requirement.
5. Work on projects that design/improve tools or processes by testing and/or develops recommendations for management
6. Communicate effectively both in verbal and written form on all investigative matters8. Support new hires or focus group investigators in the team to help them meet require performance standards

- Master's degree, or PMP

Key job responsibilities
- Manage and deploy projects, including new technology deployments and internal program.
- Manage and solve challenges involving IT infrastructure, such as local site networks, services and hardware.- Deploy, maintain and troubleshoot IT solutions throughout their lifecyle.
A day in the life
As an IT Manager, you’ll be responsible for multiple sites and work in different settings where no two days are the same. You'll make sure the IT infrastructure on-site is maintained and operational so that teams can deliver on behalf of our customers. Taking a data-driven approach, you’ll find opportunities to increase automation and efficiency, and pilot different technologies to support these objectives.

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 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

Key job responsibilities
Key Job Responsibilities:• Understand and contribute to model compression techniques (quantization, pruning, distillation, etc.) while developing theoretical understanding of Information Theory and Deep Learning fundamentals• Work with senior researchers to optimize Gen AI models for edge platforms using Amazon's Neural Edge Engine• Study and apply first principles of Information Theory, Scientific Computing, and Non-Equilibrium Thermodynamics to model optimization problems• Assist in research projects involving custom Gen AI model development, aiming to improve SOTA under mentorship• Co-author research papers for top-tier conferences (NeurIPS, ICLR, MLSys) and present at internal research meetings• Collaborate with compiler engineers, Applied Scientists, and Hardware Architects while learning about production ML systems• Participate in reading groups and research discussions to build expertise in efficient AI and edge computing

- Bachelor's degree or above in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- PhD, or a Master's degree and experience with popular deep learning frameworks such as MxNet and Tensor Flow
- Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
- Experience in Java, C++, Python, or a related language
- 1+ years of industry or academic research experience

- Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with training and deploying machine learning systems to solve large-scale optimizations, or experience in software development
- Experience in patents or publications at top-tier peer-reviewed conferences or journals

Amazon Security 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.In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceMentorship and Career GrowthWe’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.

- Bachelor’s degree in Computer Science, related field, or equivalent work experience.
- Experience (non-internship) in professional software development.
- Extensive experience in designing or architecting (design patterns, reliability and scaling) of new and existing systems.
- Programming experience with at least one software programming language- Java, Python, or TypeScript.
- Experience as a tech lead OR leading an engineering team.
- This role requires you to be a national of an EU member state.

- Experience with full software development life cycle, including coding standards, code reviews, source control management, build
- Experience in prototyping quickly new systems and solutions
- Experience developing using SQL and NoSQL databases.
- Experience in Cloud Technologies.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
As an Engineer on the team, you will develop highly scalable services to manage billions of smart devices connected to Alexa through the cloud. Your work will span across Alexa skills, voice user interfaces, cloud services, and a rapidly-growing ecosystem of IoT devices. You will help lay the foundation to move from directed device interactions to learned behaviors that span multiple devices throughout the home. You will have the satisfaction of working on a product your friends and family can relate to, and want to use every day. We believe the Smart Home has the rare opportunity to have a giant impact on the way people live.A day in the life

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent