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This role is based in Israel, but we have other roles across EMEA.
Solutions Architects work hand in hand with AWS customers and partners to help them make the most of the Cloud. They are at the crossroads of business and technology and engage with organisations at all stages of cloud adoption. Solutions Architects are responsible for creating and presenting technical content and sharing best practices.
Partner Sales Solution Architects (PSSAs) focus on Global and National Systems Integrators (G/SI) and Independent Software Vendors (ISVs). You will have the opportunity to help accelerate and deliver on customer's technical strategy leveraging solution design best practices, cloud native use cases, and broad set of AWS solutions offered by the partner community. In this role, you will own the technical engagement with strategic partners.
Solutions Architects are responsible for the overall technical relationship between customers, partners, and AWS. They make recommendations on security, cost, performance, reliability, and operational efficiency. They work to understand the customer's needs and give prescriptive guidance on how to create solutions with AWS technology. Solutions Architects lead activities such as architecture reviews, white-boarding sessions, demos, and technical workshops. They collaborate with other teams such as account management, professional services, support, product teams, and the AWS partner ecosystem.

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
Key job responsibilities
Work directly with customers and partners to accelerate their projects and recommend best-practice architectures in line with their long-term business outcomes.
Build technical relationships with partners and operate as their trusted adviser. The best interests of the customer will shape the guidance you provide.
Share the voice of the customer and partners to inform the roadmap of AWS features.
Participate in the creation and sharing of best practices, technical content and new reference architectures (e.g. white papers, code samples, blog posts).
Evangelize and educate about AWS technology (e.g. through workshops, user groups, meetups, public speaking, online videos or conferences).
Contribute to the growth of the Solutions Architecture organization by interviewing candidates and having a voice in hiring decisions. You will also be helping others develop new skills by knowledge sharing.
Develop areas of depth in technical domains relevant to your interests and your customer's outcomes.

We are searching for an innovative and experienced Senior Big Data Engineer that will join us and be part of our big data group.
As a Senior Big Data Engineer, you will:
Lead the architecture and development of mission-critical, diverse and large-scale data pipelines over both public and on-prem cloud solutions.
Derive policies for data storage and versioning over peta-bytes scale complex storage solutions of multiple data lakes.
Design and develop smart ML infrastructure in order to build Agile ML processes (MLOps).
Work with Data Scientists to understand needs and design ML infrastructure solutions
Be a part of a collaborative heterogeneous data team which includes developers, data scientists, data engineers, MLOps and data scouts.

Required Cloud Solution Architect - Azure AI and Machine Learning
Responsibilities:
Accelerate new customer opportunities from Proof of Concept (PoC) to Production for Azure AI workloads such as Azure OpenAI, Azure Cognitive Search, and Azure Machine Learning
Provide customers with Generative AI expertise and advisory through architecture designs, proof of concepts, production reviews, and post-sales support.
Expand and grow Azure AI adoption for existing customer base.
Lead and provide guidance in technical escalations to unblock AI customers in collaboration with our stakeholders.
Provide expert perspective to key stakeholders to increase platform adoption through customer insights & feedback on a regular basis.
Drive product improvement and influence roadmap with Engineering through deep technical insights.
Increase AI technical intensity in the field through upskilling, sharing best practices, and scaling repeatable IP
Other: Embody our culture and values.