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AWS EMEA SARL UK Branch
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  • The Amazon Web Services Professional Services (ProServe) team is seeki... Read More
    The Amazon Web Services Professional Services (ProServe) team is seeking a highly skilled and versatile Engagement Manager (EM) to join our team and lead the delivery of complex cloud solution projects. In this role you will combine technical expertise with strong project leadership skills to drive successful implementations of AWS-based solutions for our clients. You will bridge business requirements with technical solutions, facilitating technical discussions and ensuring alignment with customer outcomes. Applying AWS frameworks like Well-Architected and Cloud Adoption Framework while demonstrating technical credibility across diverse stakeholders, you will distil customer needs into clear technical requirements, decompose complex problems, and make informed trade-off decisions considering performance, scalability, security, and business impact.

    Possessing strong technology and program/project management experience, you will validate technical solutions against business goals, recognize when additional technical evaluation is needed, and manage technical risks. You will be expected to achieve and maintain relevant AWS certifications, develop domain-specific expertise, and effectively communicate technical concepts to both technical and business audiences. As you progress, you’ll lead increasingly complex technical projects, shape cross-organizational technical strategies, and establish best practices in your domain. In this role you will apply your management and leadership capabilities to successfully execute project plans, proactively identify and manage risks, resolve issues, escalate when appropriate, and drive projects to successful completion, while exceeding customer expectation.

    The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.

    Key job responsibilities
    As an experienced technology program/project manager, you will be responsible for:

    •Leading and managing complex cloud migration and implementation projects
    • Leveraging comprehensive knowledge of AWS services, architectures, and best practices to guide technical decisions and strategic planning
    • Bridging business requirements with technical solutions, facilitating engineering discussions and ensuring alignment with customer business outcomes
    • Distilling customer needs into clear technical requirements and map them to business outcomes • Decomposing complex technical problems into actionable, deliverable solutions
    • Contributing to technical documentation and define documentation standards


    About the team
    Diverse Experiences
    AWS 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.

    Why AWS?
    Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

    Inclusive Team Culture
    Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

    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
    We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

    BASIC QUALIFICATIONS- Experience in program or project management
    - Experience leading large-scale, technical or engineering programs with a proven record of thought leadership, business case development, realizing customer benefits, and successful program completion
    - Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
    - Experience communicating and delivering presentations to customers, stakeholders, and/or teammates
    - Experience in project management disciplines including scope, schedule, budget, quality, along with risk and critical path management
    PREFERRED QUALIFICATIONS- Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership
    - Experience communicating to senior management and customers verbally and in writing
    - project management certification such as PMP, Scrum, or other Agile certification
    - Experience in customer-facing business presentations covering business and technical aspects or equivalent
    - Experience in leading large-scale, technical or engineering programs with a proven record of thought leadership, business case development, realizing customer benefits, and successful program completion

    Read Less
  • The Amazon Web Services Professional Services (ProServe) team is seeki... Read More
    The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.

    Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.

    The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.

    Key job responsibilities
    As an experienced technology professional, you will be responsible for:

    1. Design and develop robust and scalable AI/ML solutions for business problems
    2. Interact with customer directly to understand the business problem, help and aid them in implementation of their ML ecosystem
    3. Effectively use Foundation Models available on Amazon Bedrock and Amazon SageMaker to meet our customer's performance needs
    4. Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes
    5. Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts
    6. Comfortable working in a fast paced, highly collaborative, dynamic work environment
    7. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

    About the team
    Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, 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.

    Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

    Inclusive Team Culture - Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.

    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 - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
    BASIC QUALIFICATIONS- Experience implementing AWS services in a variety of distributed computing environments
    - 3+ years experience in cloud architecture, a ML practitioner with hands-on implementation of ML systems; building, validating and deploying GenAI models
    - 5+ years of professional experience in a business environment; experience of IT platform implementation in a highly technical or analytical role
    - 3+ years experience of handling large datasets and strong software development skills with proficiency in one or more programming languages including Python and one additional language e.g., Java, C#
    - Strong understanding of DevOps practices with practical hands-on application and strong interest in AI/ML solutions. Strong verbal and written communications skills and ability to lead effectively across organizations in English.
    PREFERRED QUALIFICATIONS- 3+ years Technical experience preferred, knowledge of AI/ML Technology stack of AWS and Generative AI trends, patterns, anti-patterns
    - 3+ years Application Development experience required with serverless technologies and experience training distributed ML models on CPU and GPU hardware
    - Serving ML models through realtime APIs and experience with deploying production-grade machine learning solutions on public cloud platforms. Knowledge of vertical use cases for large language models in industries like finance, healthcare, manufacturing etc
    - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation). AWS Professional or Specialty level certifications (e.g., Machine Learning Specialty)
    - Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences

    Read Less
  • Systems Engineer, AWS  

    - Berkshire
    Would you like to help implement innovative cloud computing solutions... Read More
    Would you like to help implement innovative cloud computing solutions and solve the most complex technical problems? Are you excited by the prospect of building and running the world's largest cloud computing infrastructure to provide a better world for future generations?

    Amazon Web Services (AWS) builds and operates some of the largest internet infrastructure on the planet; providing companies of all sizes with an infrastructure web services platform in the cloud. With AWS, customers provision compute power, storage, database, and other cloud resources as their business demands them. To meet the growing demand for AWS Services around the globe, we need exceptionally motivated people who are driven by learning and innovation.

    If you join us you’ll be part of a world-class team in a dynamic environment that has the entrepreneurial feel of a start-up. This is an opportunity to operate and engineer systems on a massive scale, and to gain world class experience in cloud computing. You'll be surrounded by people who are passionate about cloud computing, believe that first class service is critical to customer success, and are committed to improvement.

    AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.

    Top reasons to join our team:

    • Be a catalyst to deliver a truly disruptive products that are growing rapidly
    • Define, build, own, and run a service in high growth environment
    • Solve unique and first-order problems at massive-scale across many AWS Services
    • Learn how to build and operate distributed systems at massive scale
    • Build and influence the tools and utilities that are part of the AWS fleet running our internal services

    Key job responsibilities
    WHAT DOES A SYSTEMS ENGINEER DO AT AMAZON?

    Amazon has a collaborative, purposeful and enthusiastic environment where we “Work Hard, Have Fun, Make History.” On a typical day engineers might dive deep into understanding the root cause of a customer issue, investigate why a metric is trending the wrong way and consult with senior engineers at Amazon. We own our services and believe in making out-of-hours support as painless as possible. To achieve this, we implement Operational Excellence best practices and strive to automate manual processes.

    Our Systems Engineering roles help engineers develop a broad range of skills. They utilise their Linux skills to troubleshoot, innovate fixes and workarounds, keep software up-to-date and provide data and metrics that help manage the capacity and efficiency of our services. They draw on their networking knowledge to identity and troubleshoot network connectivity issues. They communicate clearly and collaborate with others to deliver results. They are self-starters, comfortable dealing with ambiguity and change. They are customer-obsessed, always looking to understand customer pain points and find resolutions quickly and completely.

    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.

    Why AWS?
    Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

    Inclusive Team Culture
    Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

    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
    We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
    BASIC QUALIFICATIONS- Bachelor's degree in Computer Science or other technical degree or related experience
    - Knowledge of networking fundamentals
    - Experience working in a 24/7 production environment
    - Experience in Linux systems administration and/or development
    - Experience working in at least two of these languages: Python, Java, Perl, PHP, Ruby or Bash/Shell
    PREFERRED QUALIFICATIONS- Knowledge of configuration management systems, such as Puppet, Chef, Ansible, or related systems
    - Experience in site reliability engineering (SRE), systems engineering, systems administration, DevOps, security administration, or network administration
    - Experience in network capture and systems troubleshooting
    - Experience building scripts, tooling, and automation for large-scale computing environments

    Read Less
  • Are you passionate about helping UK enterprises transform their busine... Read More
    Are you passionate about helping UK enterprises transform their businesses through Generative AI and Machine Learning? Do you love building new strategic and data-driven businesses? Do you want to join AI Specialty sales organization, one of the fastest-growing organization within AWS? Join the UKI AWS Specialists organization as a Generative AI and Machine Learning Specialist Seller!

    AWS is seeking an exceptional sales and business development leader specializing in AI/ML solutions for enterprise customers across the United Kingdom.

    Key job responsibilities
    - Lead the AWS AI Business for your assigned verticals and sub-industries, across UKI
    - Accelerate customer adoption by defining and implementing domain specific GTM and Sales strategies within your assigned sub-verticals, leveraging AWS Sales and our partner ecosystem.
    - Build Trust with Executives, Data Science, Developers, Line of Business and C-suite leaders, building trust with your soft skills and technical expertise, and following through to help solve their most compelling business problems
    - Develop and deliver compelling ROI and business cases to drive adoption of AWS Gen AI solutions.
    - Act as the front line within your accounts for all specialist customer engagement in your tech domain
    - Create & articulate compelling value propositions that address specific needs of your customers.
    - Build and innovate: Co-Develop GTM motions on new product launches and work with product teams on the creation of innovative new services.
    - Partner with the world’s biggest system integrators, FM Developers to deliver on customer projects
    - Spearhead market expansion by pinpointing new customer segments and Gen AI use cases
    - Collaborate cross-functionally to continuously strengthen AWS's Gen AI value proposition
    - Gather voice-of-customer insights to inform product roadmaps and enhance the customer experience
    - Drive sales efforts spanning multiple lines of business with decision-making authority and budget ownership
    - Role require traveling up to 50% (local / international)

    A day in the life
    You’re surrounded by innovation. You’re empowered with a lot of ownership. Your growth is accelerated. The work is challenging. You have a voice here and are encouraged to use it. Your experience and career development is in your hands.

    About the team
    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.

    Why AWS
    Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

    Work/Life Balance
    We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

    Inclusive Team Culture
    AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

    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.
    BASIC QUALIFICATIONS- Bachelor's degree
    - Experience in direct sales or business development in software, cloud or SaaS markets selling to C-level executives
    - Experience in account management, project/program management, or buying
    - Experience working effectively with science, data processing, and software engineering teams
    - Experience with AI/ML technologies
    - Experience developing, deploying and managing AI products at scale
    PREFERRED QUALIFICATIONS- Experience in a new unit business or a startup
    - Experience communicating and presenting to senior leadership
    - Experience in a client facing consultative role working with large, complex enterprise customers
    - Experience with AWS AI/ML services (SageMaker, Bedrock, Amazon Q, Kiro, etc.)

    Read Less
  • Are you passionate about helping UK enterprises transform their busine... Read More
    Are you passionate about helping UK enterprises transform their businesses through Generative AI and Machine Learning? Do you love building new strategic and data-driven businesses? Do you want to join AI Specialty sales organization, one of the fastest-growing organization within AWS? Join the UKI AWS Specialists organization as a Generative AI and Machine Learning Specialist Seller!

    AWS is seeking an exceptional sales and business development leader specializing in AI/ML solutions for enterprise customers across the United Kingdom.

    Key job responsibilities
    - Lead the AWS AI Business for your assigned verticals and sub-industries, across UKI
    - Be a recognized voice in the AI space, both internally and externally
    - Accelerate customer adoption by defining and implementing domain specific Sales, consulting and GTM strategies within your assigned territories leveraging AWS Sales, Technical Team and our partner ecosystem
    - Build Trust with Executives, Data Science, Developers, Line of Business and C-suite leaders, building trust with your soft skills and technical expertise, and following through to help solve their most compelling business problems.
    - Develop and deliver compelling ROI and business cases to drive adoption of AWS Gen AI solutions, and manage complex Agentic AI transformations
    - Act as the front line within your accounts for all specialist customer engagement in the AI domain
    - Create & articulate compelling value propositions that address specific needs of your customers
    - Build and innovate: Co-Develop GTM motions on new product launches and work with product teams on the creation of innovative new services
    - Partner with the world’s biggest system integrators, FM Developers to deliver on customer projects
    - Spearhead market expansion by pinpointing new customer segments and Gen AI use cases
    - Collaborate cross-functionally to continuously strengthen AWS's Gen AI value proposition
    - Gather voice-of-customer insights to inform product roadmaps and enhance the customer experience
    - Drive sales efforts spanning multiple lines of business with decision-making authority and budget ownership
    - Role require traveling up to 50% (local / international)

    A day in the life
    You’re surrounded by innovation. You’re empowered with a lot of ownership. Your growth is accelerated. The work is challenging. You have a voice here and are encouraged to use it. Your experience and career development is in your hands.

    About the team
    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.

    Why AWS
    Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

    Work/Life Balance
    We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

    Inclusive Team Culture
    AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

    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.
    BASIC QUALIFICATIONS- Experience in leadership or account management positions
    - Experience directly managing scientists or machine learning engineers
    - Experience in direct sales or business development in software, cloud or SaaS markets selling to C-level executives
    - Experience developing, deploying and managing AI products at scale
    - Bachelor's degree
    - 10+ years of direct sales, pre-sales or business development in software, cloud or SaaS markets selling to senior stakeholders and/or C-level executives or equivalent
    PREFERRED QUALIFICATIONS- Experience selling AI/ML solutions
    - Experience in a start-up or technology company
    - Experience with presentations and speaking with executives, IT, management, and developers
    - Experience in a client facing consultative role working with large, complex enterprise customers

    Read Less
  • The Amazon Web Services Professional Services (ProServe) team is seeki... Read More
    The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
    Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
    The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.


    Key job responsibilities
    As an experienced technology professional, you will be responsible for:
    1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
    2. Providing technical guidance and troubleshooting support throughout project delivery
    3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
    4. Acting as a trusted advisor to customers on industry trends and emerging technologies
    5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

    About the team
    Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, 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.

    Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

    Inclusive Team Culture - Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.

    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 - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
    BASIC QUALIFICATIONS- 3+ years of experience in DevOps or Platform Engineering
    - Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
    PREFERRED QUALIFICATIONS- AWS experience preferred, with proficiency in a wide range of AWS services (e.g. Lambda, EKS, CodePipeline, CodeBuild, CodeDeploy)
    - AWS level certifications (e.g. DevOps Engineer Professional) preferred
    - Experience with automation and scripting (e.g. Terraform, Python, CDK)
    - Knowledge of security and compliance standards (e.g. HIPAA, GDPR)
    - Strong communication skills with the ability to explain DevOps concepts to both technical and non-technical audiences

    Read Less
  • Startup Investor Manager, UKI  

    - London
    Would you like to support cloud computing and GenAI adoption by workin... Read More
    Would you like to support cloud computing and GenAI adoption by working with venture capital firms and their portfolio companies? Do you have the technical understanding and business development skills to help startups build on AWS?

    Trusted by more startups around the world, AWS makes the power of cloud computing accessible to all. We give founders everywhere access to the same technology that powers the world's largest companies. With nearly 20 years of experience, gained from supporting hundreds of thousands of startups, the AWS Startups team helps founders prove that their world-changing ideas are possible, at any stage of growth, and any level of funding. This is why more startups, and over 80% of unicorns, choose to launch on AWS.

    As a Business Development Manager within AWS, you will support our engagement with venture firms and their portfolio companies. You'll combine your understanding of cloud technologies with business development skills to help evaluate and support startups in your assigned portfolio.

    Key job responsibilities
    - Support AWS market and technical strategy within assigned portfolio
    - Help evaluate startups' technical and business potential through basic understanding of their architecture
    - Build relationships with assigned venture firms and their portfolio companies
    - Support strategic initiatives that connect AWS services with startup needs
    - Provide basic technical and business guidance to portfolio companies
    - Contribute to business reviews and portfolio updates
    - Work with cross-functional teams to support startup growth
    BASIC QUALIFICATIONS- 4+ years of business development in technology industry with focus on startups or technical roles
    - Understanding of cloud computing fundamentals and services
    - Experience working with technical solutions in business context
    - Bachelor's degree or equivalent experience
    PREFERRED QUALIFICATIONS- Startup or venture capital experience
    - Technical background or certifications
    - Experience with cloud technologies
    - Basic understanding of emerging technologies
    - Strong communication and relationship-building skills
    - Analytical capabilities
    - Experience working in cross-functional teams

    Read Less
  • The Amazon Web Services Professional Services (ProServe) team is seeki... Read More
    The Amazon Web Services Professional Services (ProServe) team is seeking a highly skilled and versatile Engagement Manager (EM) to join our team and lead the delivery of complex cloud solution projects. In this role you will combine technical expertise with strong project leadership skills to drive successful implementations of AWS-based solutions for our clients. You will bridge business requirements with technical solutions, facilitating technical discussions and ensuring alignment with customer outcomes. Applying AWS frameworks like Well-Architected and Cloud Adoption Framework while demonstrating technical credibility across diverse stakeholders, you will distill customer needs into clear technical requirements, decompose complex problems, and make informed trade-off decisions considering performance, scalability, security, and business impact.

    Possessing strong technology and project management experience, you will validate technical solutions against business goals, recognize when additional technical evaluation is needed, and manage technical risks. You will be expected to achieve and maintain relevant AWS certifications, develop domain-specific expertise, and effectively communicate technical concepts to both technical and business audiences. As you progress, you’ll lead increasingly complex technical projects, shape cross-organizational technical strategies, and establish best practices in your domain. In this role you will apply your management and leadership capabilities to successfully execute project plans, proactively identify and manage risks, resolve issues, escalate when appropriate, and drive projects to successful completion, while exceeding customer expectation.

    The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.

    Eligibility for UK Government Security Clearance is required for this role (

    Key job responsibilities
    As an experienced technology project manager, you will be responsible for:
    - Leading and managing complex cloud migration, modernization and implementation projects.
    - Leveraging comprehensive knowledge of AWS services, architectures, and best practices to guide technical decisions and strategic planning.
    - Bridging business requirements with technical solutions, facilitating engineering discussions and ensuring alignment with customer business outcomes.
    - Distilling customer needs into clear technical requirements and map them to business outcomes.
    - Decomposing complex technical problems into actionable, deliverable solutions.
    - Contributing to technical documentation and define documentation standards.

    A day in the life
    Diverse Experiences:
    AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, 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.

    Why AWS?
    Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

    Inclusive Team Culture
    Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.

    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
    We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
    BASIC QUALIFICATIONS- Experience in leading the delivery of IT projects with external customers or equivalent
    - Experience in program or engagement management, leading other project managers to deliver a program with multiple and concurrent projects
    - Experience working as a Scrum Master or Product Owner across multiple cross-functional teams
    PREFERRED QUALIFICATIONS- • AWS experience preferred
    - • Project Management Professional (PMP) and/or AWS Certified Solutions Architect - Associate
    - • Strong understanding of AWS services, architectures, and best practices
    - • Experience applying AWS frameworks like Well-Architected and Cloud Adoption Framework
    - • Proven ability to establish technical credibility with engineering teams and senior technical decision-makers

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  • Are you ready to shape the future of secure artificial intelligence? T... Read More
    Are you ready to shape the future of secure artificial intelligence? The AWS Generative AI Innovation Center stands at the forefront of the AI revolution, where we're not just implementing technology – we're defining how the world's largest organizations will safely harness the power of generative AI.

    As businesses race to adopt transformative GenAI capabilities, security isn't just a checkbox – it's the foundation that makes innovation possible. This is where you come in.

    We're seeking a Senior GenAI Security Consultant to join our elite team of innovators, architects, and strategists. This isn't just another security role – it's an opportunity to write the playbook for secure GenAI implementation at global scale. You'll work at the bleeding edge of technology, where the challenges are unprecedented and the impact is immediate and far-reaching.

    Why This Role Matters
    In the GenAI Innovation Center, we're tackling the most exciting and complex challenges in technology today. Our security leaders aren't just implementing solutions – they're inventing new approaches to security that will define industry standards for years to come.

    You'll be:
    - Pioneering new security architectures for GenAI applications that will be studied and emulated across the industry
    - Working directly with the world's most innovative organizations as they navigate the intersection of AI capability and security
    - Creating the frameworks and best practices that will shape how enterprises implement secure GenAI solutions
    - Leading the charge in developing novel security applications powered by GenAI itself

    The Innovation Opportunity
    This role sits at the absolute tip of the spear of AWS innovation. You'll have the unique opportunity to:

    - Collaborate with AWS service teams to influence the future of our GenAI security capabilities
    - Drive industry-first solutions that bridge the gap between new and novel AI and enterprise security requirements
    - Build a legacy as one of the pioneers who helped define secure GenAI implementation

    If you're energized by solving complex problems that no one has solved before, if you're passionate about both security and the transformative potential of GenAI, and if you want to be at the forefront of technology's next great revolution, this role is for you. Join us in shaping the future of secure AI innovation at AWS.


    Key job responsibilities
    Security for GenAI
    - Lead security architecture and implementation for enterprise GenAI deployments across EMEA
    - Design and implement security controls specific to GenAI applications
    - Develop security frameworks and governance models that enable rapid, secure GenAI adoption
    - Guide customers through security assessments, architecture reviews, and implementation
    - Create reusable security accelerators and assets for AWS GenAI services

    GenAI for Security Innovation
    - Design and implement innovative GenAI solutions for security use cases
    - Create proof-of-concepts demonstrating novel applications of GenAI in security operations
    - Develop new methodologies and tools for using GenAI to enhance security capabilities
    - Partner with security-focused customers to identify and implement GenAI opportunities
    - Build security-focused applications leveraging AWS's GenAI services

    Thought Leadership & Industry Impact
    - Author technical blogs, whitepapers, and best practices for GenAI security
    - Present at major industry conferences and AWS events on GenAI security topics
    - Drive innovation through collaboration with AWS service teams on security features
    - Influence industry standards and best practices for secure GenAI implementation
    - Lead knowledge sharing initiatives within AWS and the broader security community

    Success in this role requires balancing deep technical expertise with strategic thinking while maintaining a relentless focus on customer trust and security excellence.

    A day in the life
    As a Sr GenAI Security Consultant, you might start your day leading a security architecture review for a customer's GenAI implementation, followed by collaborating with AWS service teams on new security features for Amazon Bedrock. By afternoon, you're developing a proof-of-concept for an AI-powered security monitoring solution, then mentoring team members on secure prompt engineering practices. Your day might conclude with drafting a blog post about emerging GenAI security patterns or preparing for an upcoming industry conference presentation. Throughout the day, you'll balance customer engagements, innovation projects, and thought leadership activities while staying at the forefront of GenAI security advancements.

    About the team
    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.
     
    Why AWS
    Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

    Work/Life Balance
    We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. 

    Inclusive Team Culture
    AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

    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. 

    AWS Global Services
    AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.
    BASIC QUALIFICATIONS- Bachelor's degree in computer science, engineering, mathematics or equivalent
    - Experience integrating AWS cloud services with on-premise technologies (e.g., Microsoft, IBM, Oracle, HP, SAP)
    - Experience as technical specialist in design and architecture
    - Experience in cloud based solution (AWS or equivalent), system, network and operating system
    - Proven experience in Generative AI security, compliance and risk management, privacy & controls, and security reference architectures for all-in and/or hybrid deployments
    PREFERRED QUALIFICATIONS- AWS Professional level certification
    - Experience in external or internal customer facing, complex and large scale project management

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  • Are you looking to work at the forefront of Machine Learning and AI? W... Read More
    Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.

    Starting in 2024, the Innovation Center launched a new Custom Model and Optimization program to help customers develop and scale highly customized generative AI solutions. The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop and optimize models to power their solutions, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.

    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 Applied 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 an Applied Scientist, you will
    •Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
    • Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
    • Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization
    • Provide customer and market feedback to product and engineering teams to help define product direction


    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.

    Why AWS?
    Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

    Inclusive Team Culture
    Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

    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
    We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
    BASIC QUALIFICATIONS- PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field plus 5 years of relevant experience, or Master’s degree plus 10 years of relevant work experience
    - 5+ years of hands on experience with Python to build, train, and evaluate models
    - 5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
    - 2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques.
    - Scientific publication track record at top-tier AI/ML/NLP conferences or journals
    PREFERRED QUALIFICATIONS- Demonstrated experience with building LLM-powered agentic workflow, orchestration, and agent customization
    - Experience with model optimization techniques (quantization, distillation, compression, inference optimization etc.)
    - Experience with open-source frameworks for model customization like trl, verl, and for building LLM-powered applications like LangChain, LlamaIndex, and/ or similar tools
    - Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts
    - Demonstrated ability to identify and frame technical problems from broad product-level and business-level problem areas.
    - Track record of leading the design, implementation and delivery of scientifically-complex solutions that span multiple teams.
    - Experience driving scientific agenda and technical strategy in a team, including building consensus on technical approaches and mentoring other scientists to improve their technical capabilities.

    Read Less

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