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Amazon is seeking an experienced technical leader and Sr. Robotics System Integration & Deployment Engineer to own the onsite strategy and execution of complex, first-time automation deployments and build scalable mechanisms that enable global rollouts across our fulfillment network. Join our Robotics Delivery and Packaging Innovation International team, where we transform complex automation technologies into efficiently deployable solutions on a global scale. Ideal candidates will have deep experience leading complex automation deployments in undefined environments, combined with multi-domain technical expertise and a track record of force-multiplying team capability. You'll define deployment approaches where none exist, own the full deployment lifecycle from concept through go-live and steady-state handover, and build the frameworks, playbooks, and mechanisms that enable downstream teams to scale with limited direct oversight. You'll influence across multiple teams, advise senior leadership on deployment strategy and trade-offs, and mentor junior engineers. Working across multiple technologies and regions will accelerate your impact through exposure to diverse stakeholders, regulatory environments, and technical challenges. Amazon's culture encourages an entrepreneurial approach and expects engineers and managers alike to take a high level of ownership in solving complex problems in a fast-paced environment. The role could be based in Barcelona, London, Düsseldorf, Munich, Berlin or Milan with ~75% travel across Europe during peak deployment season, with occasional international travel. Key job responsibilities · Define and own the end-to-end deployment strategy and execution for complex, first-time automation technologies where deployment processes do not yet exist · Lead cross-functional alignment across multiple teams, vendors, site operations, and regional stakeholders — advising Senior Managers and Directors on technical trade-offs and deployment decisions · Build scalable deployment mechanisms, frameworks, and tooling that convert first-time deployment complexity into repeatable, organisation-wide standards · Resolve complex deployment problems across multiple technical domains, identifying when issues stem from technical design and providing actionable feedback to engineering teams · Mentor and develop junior deployment engineers, perform technical assessments, and drive engineering best practices across the deployment organisation · Evaluate and deliver large-scale automation technologies including conveyance, sortation, and robotics systems across multiple countries and building types · Automate and optimise deployment processes — moving beyond SOPs to eliminate waste, decouple dependencies, and create predictable deployment paths A day in the life You'll define the deployment strategy for new automation technologies, making trade-offs between short-term delivery needs and long-term scalability. During deployment execution, you'll be on-site leading complex first-time implementations through go-live while simultaneously coaching your team and capturing learnings into scalable mechanisms. You will interact daily with diverse functional teams across multiple time zones, presenting to Directors and VPs, conducting regular meetings with internal teams, stakeholders, and vendors. You'll build relationships with subject matter experts, shape technical strategies, and influence deployment standards across regions. You'll foster constructive dialogue and build consensus on contentious deployment decisions. No two days will be the same in our fast-paced environment, offering opportunities for professional growth as part of a collaborative, focused team. About the Team: Robotics Delivery & Packaging Innovation is a diverse and multi-talented team with a proven track record of overcoming challenging technical problems to deliver Amazon's leading-edge robotics technologies in its fulfilment, transportation, and delivery network across the world. Our high-performing team blends engineering know-how, problem solving, curiosity, innovation, leadership, and effective communication to deliver positive results for our customers. About the team Robotics Delivery & Packaging Innovation is a diverse and multi-talented team with a proven track record of overcoming challenging technical problems to deliver Amazon's leading-edge robotics technologies in its fulfilment, transportation, and delivery network across the world. Our high-performing team blends engineering know-how, problem solving, curiosity, innovation, leadership, and effective communication to deliver positive results for our customers. • Bachelor's degree or foreign equivalent in Information Science, Information Technology, Data Science, Computer Science, Engineering, Mathematics, Physics, or a related field, • Experience leading complex automation deployment projects end-to-end, including defining deployment strategies for new technologies where none previously existed, • Subject matter expertise in more than one technical domain (e.g., robotics + deployment process design, automation hardware + infrastructure integration, or conveyance + sortation systems), • Demonstrated ability to influence across multiple teams and advise senior leadership on deployment strategy and technical trade-offs, • Track record building scalable mechanisms, frameworks, or tooling adopted across an organisation, • Experience mentoring and developing engineers, • Strong written communication skills including authoring technical narratives and strategic documents, • Willingness to travel up to 50% during EU deployment seasons, • Experience resolving complex technical systems problems on-site in undefined environments, • Experience with robotic deployments in warehouse or fulfillment environments across multiple countries, • Background managing vendor relationships and external contractors at programme level, • Knowledge of Lean Manufacturing, Six Sigma, or continuous improvement methodologies, • Project management certification (PMP, Scrum, Agile), • Experience with Amazon Robotics or similar warehouse automation platforms, • Master's degree in engineering or related STEM field, • Experience training and developing field deployment teams at scale, • Multi-country deployment experience with demonstrated ability to adapt processes across regulatory and operational environments, • Familiarity with infrastructure deployment automation systems Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (_) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit _ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

About TD SYNNEX: We're TD SYNNEX, a leading IT distributor and solutions aggregator for the IT ecosystem. We're 23,000 of the IT industry's best and brightest, who share an unwavering passion for bringing compelling technology products, services, and solutions to the world. We're an innovative partner that helps our customers maximize the value of IT investments, demonstrate business outcomes, and unlock growth opportunities. Role Overview As a Senior Platform Engineer, you will build, operate, and continuously improve the multi-cloud infrastructure platform that our development teams rely on every day. This is a hands-on engineering role - you will spend most of your time writing Terraform, Ansible, and Python, Automation and more... not just producing architecture diagrams or reference designs. You will work within an established platform direction set by our Architecture and Engineering Leadership, and your focus will be on implementing, automating, and operating the platform components that bring that direction to life. We are looking for a builder and innovator mindset who enjoys turning patterns and standards into production-ready, well-automated infrastructure that our developers and customers love to consume. Key Responsibilities • Build and maintain: Implement multi-cloud infrastructure (primarily Azure, with AWS where applicable) following established platform patterns and standards., • Infrastructure as Code: Write, maintain, and refactor Terraform modules. Apply DRY principles across landscapes and contribute to our shared module library., • Configuration automation: Develop Ansible playbooks, roles, and collections for OS-level configuration and zero-downtime deployments., • Operate AI-ready services: Provision and operate the cognitive service environments (Azure AI Foundry, AWS Bedrock) that our application teams consume., • CI/CD delivery: Build and maintain Azure DevOps pipelines for infrastructure platform provisioning and configuration management., • Day-2 operations: Troubleshoot, patch, harden, and monitor platform components. You own the health of what you build., • Collaboration: Work closely with Architects, Developers, and Operations to turn requirements and patterns into working code. What This Role Is Not To set clear expectations and avoid mismatched applications: • This is not a Cloud Architect, Solution Architect, or Enterprise Architect role., • You will not set the overall cloud strategy or produce high-level reference architectures., • You will not lead multi-team design forums or own architectural governance. If you are looking for an architecture role, this position will not be the right fit. If you are looking forward to spending your day building and automating, please read on. Technical Requirements 1. Technology Platform. • Azure: strong hands-on experience (required)., • AWS: working hands-on experience (good to have)., • GCP: working hands-on experience ( is a plus)., • Linux administration: solid experience with RHEL, Debian, and Ubuntu (a plus), • Windows hosts: comfortable managing them through automation., • AI services (consumer side): comfortable provisioning, scaling, and supporting consumption of cognitive services such as Azure AI Foundry or AWS Bedrock. You operate these services for application teams - you are not expected to design AI/ML systems. 1. Infrastructure as Code & Automation • Terraform: strong working knowledge of data structures, functions, workspaces, and module design. You write modules, not just consume them., • Ansible: confident with playbooks, roles, and dynamic inventories. Exposure to Ansible Automation Platform (AWX / Tower) or RedHat Satellite is a plus., • Scripting: fluency in Python, Bash, or PowerShell for day-to-day automation tasks. 1. Work Delivery • Azure DevOps: Pipelines, Boards, and Repos., • GitOps: solid branching strategies, code reviews, and lifecycle management., • Agile: comfortable working in sprints and breaking platform work into small, deliverable units. Soft Skills & Ways of Working • Pragmatic problem-solver: you favour shipping a working iteration over a perfect design document., • Clear communicator: you can explain what you built - and the trade-offs - to both engineers and non-engineers., • Reliable executor: you take ownership of tickets through production and follow up on operational issues you uncover., • Collaborative: you work well alongside Architects and Product Owners, and you ask questions before assuming. Why Join Us? You will join a platform team that is actively professionalizing how the wider organization consumes cloud and AI services. You will spend your time writing high-quality code, automating real problems, and seeing your work used by developers or other customers across the business - not sitting just in design meetings. If you enjoy the craft of platform engineering and want to deepen your hands-on multi-cloud and automation skills, this is the role for you. What We Offer: • We value continuous learning and provide a clear progression plan., • Remote or Hybrid work, • We provide comprehensive benefits including, Health insurance, paid leave, retirement plans, and more., • Certified Workplace Excellence: Work in a certified Great Place to Work. At TD SYNNEX, our values guide everything we do: Together, We Own It, We Dare to Go, We Grow and Win, and above all, We Do the Right Thing. These principles shape how we work with each other, our partners, and our communities as we drive innovation and create lasting impact. What's In It For You? • Elective Benefits: Our programs are tailored to your country to best accommodate your lifestyle., • Grow Your Career: Accelerate your path to success (and keep up with the future) with formal programs on leadership and professional development, and many more on-demand courses., • Elevate Your Personal Well-Being: Boost your financial, physical, and mental well-being through seminars, events, and our global Life Empowerment Assistance Program., • Diversity, Equity & Inclusion: It's not just a phrase to us; valuing every voice is how we succeed. Join us in celebrating our global diversity through inclusive education, meaningful peer-to-peer conversations, and equitable growth and development opportunities., • Make the Most of our Global Organization: Network with other new co-workers within your first 30 days through our onboarding program., • Connect with Your Community: Participate in internal, peer-led inclusive communities and activities, including business resource groups, local volunteering events, and more environmental and social initiatives. Don't meet every single requirement? Apply anyway. At TD SYNNEX, we're proud to be recognized as a great place to work and a leader in the promotion and practice of diversity, equity and inclusion. If you're excited about working for our company and believe you're a good fit for this role, we encourage you to apply. You may be exactly the person we're looking for!

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At NeuralTrust, we’re looking for a AI Research Engineer (PhD required) to lead our product vision, shape our platform strategy, and work closely with enterprise clients to secure and scale their AI transformation. Join us! About NeuralTrust We’re a Barcelona-based startup that is rapidly scaling globally to become a leader in AI agent security. Our platform enables organizations to secure agent systems, covering both exposure management and runtime security. Backed by leading European investors and collaborating with top Spanish universities, NeuralTrust operates at the intersection of cybersecurity and AI. What You Will Do Design and implement novel AI-driven components of our platform. Apply state-of-the-art research in NLP, LLMs, and generative AI to production systems. Lead experiments in fine-tuning, evaluation, and deployment of advanced models. Develop efficient pipelines for large-scale data and model training. Collaborate with engineering and product teams to turn research into practical solutions. Publish technical articles, internal papers, and contribute to our knowledge base. Stay at the frontier of AI by evaluating new research and integrating findings. ⭐️ About You This role requires a PhD in AI, Machine Learning, Natural Language Processing, Computer Science, or a closely related field. PhD with strong research experience in AI/ML (NLP, generative AI, or similar). Proven record of publications, patents, or significant contributions to the AI field. Strong coding skills in Python and familiarity with frameworks like PyTorch or TensorFlow. Solid foundation in algorithms, optimization, and applied statistics. Hacker mentality: able to rapidly prototype, experiment, and adapt. Comfortable bridging research and engineering: from theory to production. Team player with a collaborative mindset and strong communication skills. ✨ Benefits Competitive salary aligned with your experience and impact. Flexible compensation plan (transport, restaurants, baby daycare…). Hybrid remote flexibility (work part of the week remotely, with periods of full remote). The latest tools and tech to do your job. High growth opportunity.

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