We are looking for a senior backend engineer to join our team.
As a Backend Engineer , youll get the chance to build a high-scale, performant, secure, and modern SaaS product serving thousands of businesses worldwide!

You will work with a highly professional team and have the opportunity to experience multiple technologies, from Java backends to serverless NodeJS applications, running on modern cloud infrastructure.

Each member of our Engineering team is an all-around player that influences the product from the overall experience to the details of development and architecture. You should be passionate about software engineering and creating and owning a product end-to-end; from inception to production, through design, architecture, implementation, verification, deployment and monitoring.

What will you do:
Collaborate with a team of sharp, impact-driven engineers to solve meaningful, complex challenges at scale.
Partner with product managers to ship high-performance, resilient backend systems and APIs that power core experiences.
Architect and build robust, customer-facing services and platformsend-to-endfrom scratch, using todays best tools and practices.
Own your code in production: continuously improve, optimize, and evolve the systems that drive our business.
Take full accountability for designing, implementing, testing, and deploying backend capabilities with a focus on quality and velocity.
Champion engineering excellenceset high standards, own what you build, and help level up the team around you.

We are looking for a proactive, detail-oriented individual to be responsible for designing, implementing, and delivering database solutions that are the core of Forter products. If you are passionate about database solutions and want to contribute to a dynamic and innovative team, we would love to hear from you.

What you'll be doing:
Design, implement, and maintain scalable, reliable, and efficient database solutions.
Lead and mentor engineers to ensure the seamless operation of our database systems.
Investigate and implement performance and cost optimizations for our database solutions.
Create or introduce tooling and processes to support the operational aspects required for maintaining large database solutions.
Contribute to the continual improvement of our database infrastructure.
Stay updated with the latest trends and technologies for databases, and implement new database offerings as needed.
Participate in on-call rotations to ensure the availability and performance of our database systems.

We are looking for a passionate Senior Data Scientist to develop and deploy sophisticated user-level models and real-time online learning systems. In this role, you'll work end-to-end on building personalized predictive models that adapt as user behavior evolves, enabling dynamic decision-making. Your work will directly impact user experience, drive revenue growth, and enhance data-driven decision making across the organization by transforming how we understand and respond to individual user patterns in real time. You will be handed with a business problem and will be asked to provide an end to end solution - Unpack and thoroughly understand the business problem, define the strategy to deal with it and research, develop & deploy your solution along with relevant support.
What you'll be doing:
Design and implement end-to-end solutions from business needs all the way to live deployment
Monitor and own models in production
Model, design, and implement machine learning and data mining algorithms that will impact millions of users.
Perform deep data analysis to evaluate performance and recommend improvements
Help, guide and support our business partners to allow for scale and accuracy while adopting your solutions

Join our AI team to drive mobilitys future! As Data Analyst & Operations Manager, youll optimize data workflows, lead annotation, and enhance algorithm performance to advance Vision AI.
RESPONSIBILITIES:
Model Evaluation
Work closely with the research team to evaluate model performance and define optimal operating points using precision, recall, and other ML evaluation metrics.
Annotation Management
Oversee annotation processes and manage the annotation team to ensure high-quality labeled data and streamlined workflows.
Database Management
Manage and maintain internal research databases for data-driven decision-making.
Cloud Infrastructure
Develop, maintain, and optimize cloud-based data infrastructure (AWS, GCP).
Benchmarking Framework
Build and maintain a benchmarking framework for continuous algorithm performance evaluation, including human-in-the-loop pipelines.
Dataset Curation
Curate training and testing datasets by querying databases and annotations, and by running data quality and auto-labelling tools.
Model Execution
Run algorithms and deep-learning models at scale.

We are looking for a Data Platform Engineer.
In this role, you will be responsible for building data infrastructure for performance analysis, tuning, and analysis of a new analytics product. As a member of our Data Performance team, you will collaborate closely with other SW & HW Engineers to improve the performance of our new cutting-edge APUs. You will collaborate with our business leaders and participate in the product design and implementation. You will evaluate, implement, and integrate a diverse set of tools and technologies such as Spark, Comet, Velox, Dagster, Hardware emulators and software simulators.
Responsibilities:
Join a multi-disciplinary team of experts operating at the foundation of data infrastructure stack
Build a robust data benchmarking infrastrucure
Develop in-house measurements and ETL tools
Conduct detailed performance analysis and characterization
Research state-of-the-art benchmarks and techniques for SQL and data optimization

We are now seeking a Staff Software Engineer to join our backend team.
We work in a hybrid model so it is required to come in to the Tel Aviv office 3x a week.
Your responsibilities:
You will be in charge of designing and developing complex features including collecting and processing huge amounts of data from different places spanning many different technologies.
Deliver efficient, maintainable, robust microservices in AWS environment.
Collaborate with peers on designs, code reviews, and testing.