דרושים » תוכנה » Solution Architect

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.

As an AI Solution Engineer, you will play a critical role in ensuring our AI solutions optimal performance, reliability, and continuous improvement. You will be responsible for monitoring the performance of AI models, detecting data drift, deploying AI modules, designing customized solutions, investigating issues, and developing tools to support data analysis. This role requires expertise in data science, system engineering, analytics, statistical analysis,product and clinical understanding, and proficiency in Python and SQL. The ideal candidate holds a relevant degree, with a master's degree being an advantage, and possesses hands-on experience managing AI solutions in an operational production environment.

Responsibilities
Deploying AI modules to production:

Collaborate with cross-functional teams to integrate AI solutions into existing workflows.
Deploy, configure, and implement hundreds of AI modules yearly using our orchestration mechanisms.
Design scalable deployment methodologies for new AI products
Address complex challenges associated with data in operational production environments, such as data quality, availability, and integration.
Collaborate with different stakeholders across the organization to make sure production requirements are addressed when new modules and products are developed.
Maintain our AI solutions in top performance:

Become a crucial part of our Ops team and work in a live operational environment, finding real-time solutions to complex problems.
Monitor the performance of AI solutions, ensuring they deliver accurate and reliable results using existing monitors.
Implement mechanisms to monitor and detect data drift to ensure AI models remain effective over time.
Design new monitoring solutions and metrics to address production issues, data drifts, and performance degradation.
Investigate issues raised by our customers and identify root causes, recommend corrective actions, and implement solutions to prevent reoccurrence
Tool Development:

Develop tools and scripts to support data analysts and ensure efficient data processing and analysis.
Visualize data in informative and to the point visualizations.
Automate tasks related to AI deployment, data validation, and reporting.

Startup Solutions Architects work hand in hand with our customers to help them make the most of the Cloud. They are at the crossroads of business and technology and engage with startups of different stages. Supporting the overall technical relationship between customers and us, they work to understand the customer's business needs and give prescriptive guidance on how to create business value with technology. Solutions Architects also have broader impact at scale, taking a leading role in creating and presenting technical content and best practices.

In this role you will get to practice your creativity, linking technology to tangible solutions and educating our customers about the art of the possible. You will have the opportunity to define cloud-native reference architectures for a variety of use cases. You will have the support to grow your expertise in industry and technology areas of depth. Every day you will be learning something new from your customers, your peers and your own experiments.

Key job responsibilities:
As a Solutions Architect, you will work directly with customers to accelerate their projects and recommend best-practice architectures in line with their long-term business outcomes.
Educate customers of all sizes on the value proposition of us, and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud.
You will own the technical relationship with the customer and operate as their trusted advisor. The best interests of the customer will shape the guidance you provide.
Share the voice of the customer to influence the roadmap of new features and services for the company`s platform.
Create and capture best practices, technical content and new reference architectures (e.g. white papers, code samples, blog posts).
Evangelize and educate about our technology (e.g. workshops, user groups, meetups, public speaking, online videos or conferences).
Contribute to the growth of the Solutions Architecture organization by hiring, coaching and mentoring others.
Develop areas of depth in technical domains relevant to your interests and your customer's outcomes.

We are looking for a Senior Data Engineer.
As a Senior Data Engineer, you will play a pivotal role in our Data Engineering team, driving a multitude of responsibilities essential to fueling our groundbreaking R&D endeavors. Youll have the autonomy to explore and implement cutting-edge technologies and data solutions, collaborating with diverse team of data scientists, developers, analysts, and stakeholders. Every day will present new learning opportunities and challenges as we strive together to reshape the future of work.
Responsibilities:
Design, develop, and maintain scalable data pipelines and infrastructure to support the collection, processing, and analysis of large volumes of data.
Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders, to understand data requirements and develop solutions that meet business needs.
Implement best practices for data governance, security, and quality assurance to ensure the integrity and reliability of our data assets.
Optimize and tune existing data pipelines and processes for improved performance and efficiency.
Stay up to date with current best practices in the big data field.
Mentor and coach other members of the data engineering team, providing guidance and support to help them grow their skills and expertise.

We are looking for a Senior DevOps Cloud Engineer.
This is an incredible opportunity to get in early at a Pre-IPO Cyber Security company that is poised to do huge things! We're on a mission to disrupt the cyber security market and the time is NOW!
You will take part in Developing, maintaining, and optimizing our products and their production environments.
Play a key role in designing our transformation from a single tenant service to a high scale multi-tenant HA cloud native solution.
Influence and optimize our software delivery lifecycle, Infrastructure as code, container orchestration, artifact managers, monitoring, and more while working closely with development and research teams.
RESPONSIBILITIES:
What kind of things we do?
Streamline the software development lifecycle by identifying pain points and productivity barriers and determining ways to resolve them.
Collaborate closely with development teams to understand their current build and release processes and make recommendations for improvement.
Partner with cross-functional stakeholders, including development, research, operations, quality assurance and security, to streamline processes.
Provide guidance to development teams to improve performance and operability of the solutions they develop.
Build and maintain the CI/CD pipelines to improve developer productivity, agility, and code quality.
Develop and continuously improve automation solutions to enable teams to build, deploy and test code efficiently and consistently.
Ensure that systems meet business and customer needs for reliability and availability.
Monitor and manage application performance and service quality, including initial troubleshooting, identification of root cases and issue resolution.
Work closely with cross-functional stakeholders to analyze and troubleshoot complex production issues.

As a senior computer vision engineer, you will be part of an elite group in the field of AI microscopy and hematology. Our computer vision team is responsible for solving the most challenging tasks in microscopy image analysis. You and your colleagues will research and develop new AI models to analyze thousands of cells, build new infrastructure for on-premise inference, and collect vast labeled data to provide a clinical-grade solution that runs in real time.

Your responsibilities will include:

Continually bringing new knowledge, experience, ideas, and best practices to the team
Implementing AI based on classic computer vision and deep learning, writing clear and efficient code in Python for smooth productization
Continually improving the teams internal research methods and tools
Supporting team members with their research
Take part in defining team data needs
Collaborating with physics, software, and data teams

As a Solutions Architect, youll build technical relationships with customers and operate as their trusted advisor, ensuring they get the most out of the cloud at every stage of their journey.

Key job responsibilities:
Youll manage the overall technical relationship between us and our customers, making recommendations on security, cost, performance, reliability and operational efficiency to accelerate their projects. Internally, you will be the voice of the customer, sharing their needs and wants to inform the roadmap of our features.
In this role, your creativity will link technology to tangible solutions, with the opportunity to implement cloud-native reference architectures for a variety of use cases. You will participate in the creation and sharing of best practices, technical content and new reference architectures (e.g., white papers, code samples, blog posts) and evangelize and educate about our technology (e.g., through workshops, user groups, meetups, public speaking, online videos or conferences).
If you can educate our customers about the art of the possible, while challenging the impossible, come build the future with us.
This role is within the Israel organization and you would be working with ISV customers.

We are seeking an exceptional and highly skilled Code Analysis Engineer to join our elite team. In this role, you will have the opportunity to develop, implement, and maintain code analysis algorithms.

This is a Hybrid position open to candidates in the Israel area.

What You'll Do:

You will play a key role in the development of an industry-leading automatic reverse engineering engine, which aims to analyze and comprehend the functionality of existing software code through code analysis tools like static code analysis, dynamic analysis, and data flow analysis.Working alongside an experienced team of top-notch cybersecurity developers, you'll be involved in establishing the Israeli R&D center within one of the most innovative and exciting software companies worldwide.

If you enjoy collaborating with strong engineers and working with a diverse technology stack, then this position is for you. Your responsibilities will revolve around the development of an automatic reverse engineering engine for the analysis and understanding of existing software code. You'll continuously refine and optimize code analysis algorithms to enhance their accuracy and effectiveness.

Moreover, you will be responsible for developing, testing, and maintaining a high-performance, high-scale, modern production architecture. Critical decisions regarding technical, architectural, product, and procedural matters will be part of your role, and you will closely collaborate with the software development team to seamlessly integrate code analysis algorithms into the development process.

We are seeking a highly skilled and experienced Senior backend Engineer to join our team. As a Senior backend Engineer, you will be responsible for writing backend code, collaborating closely with the product team to address technical challenges, and improving the product based on data -driven insights. You will play a key role in building the architecture, design, and development of a complex system. Additionally, you will be responsible for validating software functionality, ensuring security measures, and optimizing performance. If you are a self-motivated individual with a passion for coding and a strong background in backend development, we would love to hear from you.
Job Responsibilities:
* Develop and implement backend code, actively engaging in hands-on coding.
* Collaborate closely with the product team to address technical challenges and enhance the product based on data -driven insights.
* Contribute to the design, architecture, and development of a sophisticated system.
* Prioritize and execute tasks throughout the software development life cycle.
* Verify software functionality, ensure security measures, and optimize performance.
* Take ownership of open-source libraries, identifying vulnerabilities and ensuring proper licensing.

As a Data Engineer, you will play a pivotal role in shaping our evolving data culture. You will be responsible for collecting, organizing, and analyzing data to provide valuable insights that drive informed decision-making across the organization.
This is an opportunity to join a dynamic team and contribute to the development of data-driven solutions that drive business growth and innovation. If you are passionate about data and thrive in a collaborative environment, we encourage you to apply.
Responsibilities:
Collect and gather data from various sources, both internal and external.
Organize and clean datasets to ensure accuracy and reliability.
Utilize appropriate tools and software to analyze and visualize data effectively.
Collaborate with cross-functional teams to identify data needs and requirements.
Develop and implement data collection strategies to support business objectives.
Interpret data and provide insights to inform decision-making processes.
Create reports and presentations to communicate findings and recommendations.
Assist in the development of data-driven solutions to address business challenges.
Stay updated on industry trends and best practices in data analysis.