Lead cloud architect global aws cloud architecture Vacatures

Over de vacature

Overview

In this role you will lead PVH's global cloud architecture as the senior technical authority, defining target-state Cloud and platform principles across regions. You will shape multi-year roadmaps, guardrails, and strategic transformations including cloud migration and data center exit. You'll influence executives and cross-functional teams to balance risk, cost, security and speed, driving a scalable, automated cloud foundation. This is a strategic, enterprise-wide role with a strong impact on PVH's technology trajectory.

Arbeidsvoorwaarden / Benefits

• exclusive onsite gym and fitness classes
• nutritional and wellbeing programs
• PVH University training
• campus life with events and social activities
• employee discounts on brands
• career development opportunities

Verantwoordelijkheden

• Define and evolve PVH's global AWS cloud architecture strategy and target state
• Act as the enterprise authority for cloud architecture, guiding material decisions
• Translate business needs and tech developments into strategic cloud capabilities and roadmaps
• Advise senior IT and business leaders on strategy, risk and investments
• Create innovative solutions for complex cross-domain issues beyond standard patterns
• Establish reference architectures, principles, and guardrails for global cloud adoption
• Assess trade-offs in resilience, security, performance, cost and delivery speed
• Provide architectural leadership for long-term transformation programs like migration and modernization
• Lead multi-region resilience, disaster recovery, and service continuity planning
• Partner with Security, Network and other domains to implement secure-by-design, zero-trust principles
• Drive Infrastructure as Code, policy as code, cloud automation and platform engineering to reduce manual work
• Sponsor proofs of concept and translate outcomes into reusable capabilities
• Ensure cloud foundations support diverse regional and regulatory requirements
• Contribute to major technology selections and commercial decisions with cloud implications
• Provide senior architectural input into vendor and partnership decisions

Belangrijkste vereisten

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering or a related field; or equivalent professional experience

• 12+ years in infrastructure, cloud engineering, platform engineering or architecture roles

• Recognized technical authority for cloud architecture in a large global organization

• Deep AWS architecture expertise and enterprise-scale cloud foundations

• Proven ability to define global target-state architectures and multi-year roadmaps

• Cross-domain expertise across cloud infrastructure, networking, cybersecurity, data, DevOps, observability, resilience

• Strong experience with Infrastructure as Code and modern cloud/platform engineering

• Ability to influence senior leaders and cross-regional teams without direct authority

• Executive-level communication

• Problem-solving in ambiguous environments

• Strategic thinking with governance balance

• AWS architecture

• Infrastructure as Code (IaC)

• Terraform

Over de vacature

Overview

As Director, Connectivity Architecture, you will lead enterprise-wide network strategy and execution to deliver secure, resilient connectivity across retail, warehouse, corporate, and cloud environments. You will drive Zero Trust, cloud networking, and automation programs, partnering with IT and business leaders to align with PVH's scale and brand objectives. This role shapes next-generation security-focused networking and ensures reliable, observable platforms. You will mentor engineers and influence global governance through cross-functional collaboration.

Arbeidsvoorwaarden / Benefits

• onsite gym and wellbeing programs
• campus with food & events
• PVH University training
• employee discounts
• wellbeing programs
• social and campus activities

Verantwoordelijkheden

• Define and own the enterprise strategy for SD-WAN, SASE/network security, cloud networking, and automation
• Architect target-state connectivity across enterprise, cloud, DDI, observability, and automation platforms
• Align cloud, identity, and zero trust security standards with enterprise goals
• Oversee security and cloud networking including firewalls, IDS/IPS, NAC, and AWS networking
• Lead automation strategy (Terraform, Ansible, Python, Git) and implement observability and SRE practices
• Manage vendor partnerships and ensure platform resiliency and service delivery
• Drive network availability, performance, and scalability; champion AIOps and reliability improvements
• Mentor engineers and represent Network in governance forums and architecture boards

Belangrijkste vereisten

• Experience leading global connectivity engineering and modernization

• Strong vendor and stakeholder management skills

• Budget management and business case development experience

• Proven track record in connectivity and network security improvements

• Ability to communicate IT concepts simply to business and IT leaders

• Experience with internal and external service delivery management

• Experience working with virtual and cross-cultural teams

• Deep understanding of architectural practices

• Bachelor's or Master's degree in related field

• Strategic thinker

• Collaborative and inclusive leadership

• Data-driven decision making

• SDWAN / routing / switching / wireless

• DDI (Infoblox)

• ADC / NAC

Over de vacature

As a Senior AI/ML Consultant in AWS Professional Services, you will lead the delivery of cutting-edge artificial intelligence and machine learning solutions for our enterprise customers. You'll drive innovation in Artificial Intelligence and Machine Learning, shape technical strategy, and serve as a trusted advisor to customers throughout their AI transformation journey.

Key job responsibilities
1. Lead end-to-end delivery of complex AI/ML engagements, from strategic planning through to pre-production deployment and optimisation
2. Architect and implement advanced solutions leveraging AWS's AI/ML services, with particular focus on Generative AI using Amazon Bedrock and SageMaker
3. Provide technical leadership and mentorship to junior consultants while driving best practices across delivery teams
4. Partner with customers to translate business challenges into measurable ML outcomes and clear delivery roadmaps
5. Drive innovation in applied AI/ML, contributing to methodologies and reusable solutions across the practice
6. Influence customer AI strategy through technical expertise and industry insights
7. Lead multi-disciplinary teams and coordinate across stakeholder groups to deliver high-impact AI solutions
8. Provide thought leadership in internal and external engagements
9. Support pre-sales activities to provide technical expertise and review project scoping and risks

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 - Bachelor's degree, or experience in cloud based solution (AWS or equivalent), system, network and operating system
- Experience as technical specialist in design and architecture
- Experience in consulting, design and implementation of serverless distributed solutions
- Experience in software development with object oriented language
- Experience in data and machine learning engineering and cloud native technologies
- Experience building complex highly-scalable systems that involve predictive models or applications of machine learning
PREFERRED QUALIFICATIONS - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
- Experience in external or internal customer facing, complex and large scale project management
- Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis)
- Experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe and PyTorch
- Experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.

Over de vacature

As a Senior AI/ML Consultant in AWS Professional Services, you will lead the delivery of cutting-edge artificial intelligence and machine learning solutions for our enterprise customers. You'll drive innovation in Artificial Intelligence and Machine Learning, shape technical strategy, and serve as a trusted advisor to customers throughout their AI transformation journey.

Key job responsibilities
1. Lead end-to-end delivery of complex AI/ML engagements, from strategic planning through to pre-production deployment and optimisation
2. Architect and implement advanced solutions leveraging AWS's AI/ML services, with particular focus on Generative AI using Amazon Bedrock and SageMaker
3. Provide technical leadership and mentorship to junior consultants while driving best practices across delivery teams
4. Partner with customers to translate business challenges into measurable ML outcomes and clear delivery roadmaps
5. Drive innovation in applied AI/ML, contributing to methodologies and reusable solutions across the practice
6. Influence customer AI strategy through technical expertise and industry insights
7. Lead multi-disciplinary teams and coordinate across stakeholder groups to deliver high-impact AI solutions
8. Provide thought leadership in internal and external engagements
9. Support pre-sales activities to provide technical expertise and review project scoping and risks

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 - Bachelor's degree, or experience in cloud based solution (AWS or equivalent), system, network and operating system
- Experience as technical specialist in design and architecture
- Experience in consulting, design and implementation of serverless distributed solutions
- Experience in software development with object oriented language
- Experience in data and machine learning engineering and cloud native technologies
- Experience building complex highly-scalable systems that involve predictive models or applications of machine learning
PREFERRED QUALIFICATIONS - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
- Experience in external or internal customer facing, complex and large scale project management
- Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis)
- Experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe and PyTorch
- Experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.