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 highly motivated, experienced Software Team Lead with strong backend roots to join our R&D team. You will lead and mentor a team of talented backend-oriented full stack engineers, and design and build a resilient system that manages our customers' funds, enabling top-notch consumer-facing applications for hundreds of thousands of users.

You will also work closely with the product and BI teams to constantly improve our service based on a data-driven approach along with direct feedback from our customers. The team is responsible for the core company features - building and maintaining highly available financial services, while taking into account high data integrity and security standards.

What you will get:

Scale and Challenge - Work on a highly available, complex and cloud-native application that is used by millions of customers globally, handling millions of transactions every month.
Getting into the Fintech industry - You will get the opportunity to gain deep knowledge in the Fintech industry including payments, banking systems, fraud, and much more.
Sharpen your management skills - Working with our strong leaders you will have the opportunity to sharpen your skills, such as developing, debugging, monitoring, planning, agile and cross-team collaboration.
Leading a team of A-players - The team you are going to lead consists of strong engineers, hence you will be able to leverage and improve your technical skills as well.
And most important: purpose - Get rewarded by developing a product for real people who brings them one step forward to financial inclusion.
Responsibilities:

Lead a team of skilled software engineers building complex flows and business logic in highly available financial services, while taking into account high data integrity and security standards.
Take responsibility over a widely used product, running initiatives from planning, execution, and monitoring in production, and continuously improve the process, in order to create value for our customers.
Take a hands-on approach, contributing to the code and the product.
Define and track the KPIs of the team.
Work closely with different stakeholders, such as product managers, BI, tech support, finance team, and operations.
Work closely with the product team in order to consistently improve our service based on a data-driven approach as well as direct feedback from our customers.
Drive and maintain high engineering standards, for execution, code quality, and customer satisfaction.
job id:R_100745

You will work in a team of data and software engineers building our Authentic Attention products.

You will process 10s of billions of records a day using mainly Python and Scala, utilizing advanced technologies like Spark, Kafka, Docker, Kubernetes, DataBricks and GCP managed solutions like Google Composer and many more.

You will build the next generation of digital advertising optimization tools used by the biggest advertisers in the world to help them understand and optimize their ROI. This is a true big data product at a huge scale and high impact for our clients and the digital advertising industry as a whole.

You will maintain a very high engineering standard that includes testing, automated deployment, infrastructure as code, high degree of monitoring and availability.

We are seeking an experienced Data Engineer to join our dynamic team of analytics experts. In this role, you will play a pivotal part in both data ops and data engineering functions, contributing to the enhancement and maintenance of our data integration and pipeline processes, as well as ensuring the robustness and scalability of our data platform.
The ideal candidate is someone who thrives in a fast-paced environment, adept at both data engineering practices and DevOps principles.
You should be passionate about optimizing data systems and possess a strong desire to continuously improve our companys data architecture to support evolving products and data initiatives.
In this role, you will be responsible for:
Develop and maintain ETL/ELT/Streaming processes and SQL queries for efficient data movement.
Design and implement scalable, automated processes for large-scale data analyses.
Engage with stakeholders to understand data requirements and build datasets accordingly.
Collaborate with teams to enhance data models and promote data-driven decision-making.
Contribute to the long-term strategy and architecture of the data platform.
Maintain data lake pipelines and ensure adherence to schema standards.
Apply data security standards and seek ways to optimize data flow.
Serve as the point of contact to the DevOps team and handle MLOps operations.

We are seeking an experienced DataOps Engineer (the first position in our data organization) to join our dynamic team of analytics experts. In this role, you will play a pivotal part in both data ops and data engineering functions, contributing to the enhancement and maintenance of our data integration and pipeline processes, as well as ensuring the robustness and scalability of our data platform.
The ideal candidate is someone who thrives in a fast-paced environment, adept at both data engineering practices and DevOps principles. You should be passionate about optimizing data systems and possess a strong desire to continuously improve our companys data architecture to support evolving products and data initiatives.
In this role, you will be responsible for:
Develop and maintain ETL/ELT/Streaming processes and SQL queries for efficient data movement.
Design and implement scalable, automated processes for large-scale data analyses.
Engage with stakeholders to understand data requirements and build datasets accordingly.
Collaborate with teams to enhance data models and promote data-driven decision-making.
Contribute to the long-term strategy and architecture of the data platform.
Maintain data lake pipelines and ensure adherence to schema standards.
Apply data security standards and seek ways to optimize data flow.
Serve as the point of contact to the DevOps team and handle MLOps operations.

On our journey, we have discovered that building AI that delivers value in the real world, requires much more than just an algorithm - it requires mastering the data layers the algorithms are trained and evaluated on. AI organization, the data development achievements of our group are at the heart of improvements in our AI accuracy and scalability. We are among the few companies paving the way for methodologies and architectural patterns (that don't exist in this field yet) as we go.

Our AI Data Development Group is the data analytics core in our AI algorithms development process, and has several main areas of responsibility:

Mining the optimal data for our datasets, based on a deep understanding of the nuances of medical data, medical workflows, and algorithms.
Evaluating our algorithms performances, in order to maximize their success in real-world environments.
Facilitating data-driven product decisions through in-depth analysis.
Technical project management of the dataset development process.
Responsibilities
End-to-end ownership and technical project management of dataset development projects, for training and evaluation of AI algorithms, from ideation to delivery. This responsibility includes:
The facilitation of the data across various teams.
Detecting errors and anomalies in the data, defining the most efficient and accurate tables and views per project, and researching these issues to verify the quality signature of the dataset, which will have a sound effect on the product outcome.
Developing the optimal data pipeline per project.
Facilitating data-driven product decisions, by deeply understanding the product questions and identifying whether there are cost-effective data analyses that could provide a valuable answer to this question, based on a deep understanding of the relevant clinical workflows and algorithms.
Mapping bottlenecks in existing processes, and leading development of tools, infrastructure, and mechanisms to enhance our efficiency and decision-making processes at all levels.
Continuously assessing the projects risks and successfully mitigating them.
Develop and execute control and review processes for improving the teams quality signature on deliverables.

We are looking for a Software Engineer to join the Cluster team.
Why would you love this job?
As a member of the Core Platforms group, you will be responsible for the software behind the fastest NoSQL clusters on earth, supporting more than 200 million ops/sec at sub-millisecond latency with true linear scalability.
​Our ideal candidate is a strong individual that loves to work with a diverse team of bright and ambitious people. You are passionate about technology in general and specifically the challenges around cloud, performance, and distributed computing. You are a quick learner, always eager to learn and improve. You are able and willing to share your knowledge and guide other team members.
If youre all that, fun to work with, and want to make an impact while contributing to a wildly successful startup, then this is the right challenge for you.
What youll do:
Develop the next generation of ourr Cluster products and solutions.
Own and lead our Cluster features end-to-end, from design through development and deployment.
Debug, maintain, and improve the Cluster infrastructure, enhancing its ability to handle many thousands of databases with millions of requests per second.
Provide technical leadership and guidance to other team members.
Participate in various open source projects that we maintains and/or contributes to.
Work closely with team members, Product, DevOps, Support, Customer Success, and other R&D teams.

We are looking for a Backend Software Engineer - Senior/Lead. JR245034
As a Backend Software Engineering, your job responsibilities will include:
Build new and exciting components in an ever-growing and evolving market technology to provide scale and efficiency.
Develop high-quality, production-ready code that can be used by millions of users of our cloud platform.
Make design decisions on the basis of performance, scalability, and future expansion.
Work in a Hybrid Engineering model and contribute to all phases of SDLC including design, implementation, code reviews, automation, and testing of the features.
Build efficient components/algorithms on a microservice multi-tenant SaaS cloud environment
Code review, mentoring junior engineers, and providing technical guidance to the team (depending on the seniority level).

We are looking for a Software Engineer to join the Cluster team.
Why would you love this job?
As a member of the Core Platforms group, you will be responsible for the software behind the fastest NoSQL clusters on earth, supporting more than 200 million ops/sec at sub-millisecond latency with true linear scalability.
​Our ideal candidate is a strong individual that loves to work with a diverse team of bright and ambitious people.
You are passionate about technology in general and specifically the challenges around cloud, performance, and distributed computing. You are a quick learner, always eager to learn and improve.
You are able and willing to share your knowledge and guide other team members.
If youre all that, fun to work with, and want to make an impact while contributing to a wildly successful startup, then this is the right challenge for you.
What youll do:
Develop the next generation of our Cluster products and solutions.
Own and lead our Cluster features end-to-end, from design through development and deployment.
Debug, maintain, and improve the Cluster infrastructure, enhancing its ability to handle many thousands of databases with millions of requests per second.
Provide technical leadership and guidance to other team members.
Participate in various open source projects that we maintains and/or contributes to.
Work closely with team members, Product, DevOps, Support, Customer Success, and other R&D teams.

We are is looking for experienced technologists with a combination of technical depth and excellent interpersonal skills to join the EMEA Prototyping team as Prototype Architect (PA). The PA will join a newly created group of hands-on developers focusing on the Israel market.

The PA will work on multi-week customer prototypes through collaborative projects with developers and solution architects from customers, partners and other stakeholders. A prototype brings technology and business concepts together and is a real technical implementation of a solution to a customer's business challenge. As a PA, you would focus on co-developing solutions on us with customers and enable them to ramp up as builders and take forward the implementation to production.

The ideal candidate for this role should combine hands-on development with solution architecture skills, and demonstrate a good understanding of the company`s services portfolio with experience building solutions following cloud architecture, security and operational best practices. Interest and experience with Generative AI is a plus for this role. The PA is expected to ideate and implement technical architectures addressing customer needs while working closely with specialist resources for domains requiring deep expertise

Key job responsibilities:
- Support the Prototype Engagement Manager in Israel and other local stakeholders in the technical qualification and scoping of new prototype opportunities.
- Lead the design and implementation of prototype architectures addressing customer needs working together with prototyping architects, solution architects and other stakeholders, with focus on Generative AI technologies.
- Deliver 3 to 8 weeks hands-on prototype projects with customers and partners, in agile and collaborative development engagements.
- Drive continuous technical enablement and knowledge transfer to customers and partners involved in prototype engagements.
- Develop and present technical demonstrations to Senior Business and Technical leaders, and document projects as appropriate.
- Proactively collaborate with the wider community such as Solutions Architect, Service and Solution teams to ensure optimal customer outcomes during engagements.
- Proactively develop reusable technical assets from customer engagements and promote within the EMEA and worldwide company`s SA community.