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We have a diverse tech stack, with a backend organized in services architecture that helps keep it flexible as well as more traditional solid backend components.

Were investing in DevOps culture, which means end-to-end ownership from supporting the feature design to monitoring the production deployment.



What you'll do

The code you will write will live in the heart of our product, and enable humans and robots to work together in harmony. It is what we call the fulfillment platform domain.
It starts at the top, with exposing customer facing APIs and handling customer updates.
Continues with allocating and managing inventory and stock.
Proceeds with prioritizing and executing picking orders, receiving stock, and other robotic operation tasks.
Finally, seeing the order through packing and delivery processes.
Our code sets the pace of the site operation. We optimize movement in the site so that operations are smooth, fast, and efficient.

we are looking for an AI Engineer to join our MLOps team and take a lead role in shaping the core systems that power AI across the company. From low-latency microservices and production-grade ML workflows to developer tooling and Python infrastructure. We care deeply about clean, elegant code and building powerful systems that are a joy to work with.
Responsibilities

Lead the design and development of core AI platform, supporting a wide range of frameworks, models and configurations to best serve our users' evolving needs
Build tools and workflows for model training, deployment, and monitoring-enabling seamless integration between research and production.
Collaborate closely with research scientists, data engineers, and product teams to deliver reliable, high-performance AI solutions.
Shape the Python ecosystem at -defining best practices, building reusable libraries, and developing infrastructure that supports our Python teams.

we are looking for a proactive Applied ML Engineer to join our ModelOps Team. This role serves as the Technical Gatekeeper for our AI solutions, sitting at the vital crossroads of Research, Engineering, Product, and Data. You will ensure that our cutting-edge computer vision models are not just theoretically sound, but optimized for production and perfectly aligned with business needs.

The ideal candidate possesses a unique blend of system-wide vision and coding ability. You won't just monitor performance; you will define the standards for deployment, leverage internal ML infrastructure to solve complex gaps, and ensure our AI translates into flawless real-world performance. We are looking for an initiator who can bridge the gap between high-level research and production-grade execution.
Responsibilities:

Define Deployment Standards: Determine the criteria for model success, ensuring every release meets the high bar for both technical precision and business logic.
Drive Cross-Functional Orchestration: Serve as the primary technical interface between Research, Product, Engineering, and Data teams.
Optimize the System: Use your coding ability and internal ML infrastructure to creatively improve the "Recognition Factory."
Champion Performance: Proactively identify production performance gaps and improve model behavior to better serve specific client use cases.
Evolve Infrastructure: Leverage and improve internal tools to automate the model lifecycle and ensure data integrity at scale.

we are looking for an AI Engineer to lead our MLOps team and take full ownership of our machine learning infrastructure used to train, evaluate, and deploy our state-of-the-art computer vision models. In this role, you will work closely with other team leads and Product to plan and build the future of core AI platform. You will help define technical direction, make long-term architectural decisions, and translate company goals into executable plans, directly impacting ability to scale its AI capabilities and the overall success of the company.
Responsibilities

Manage and lead the MLOps team, including mentoring, professional development, and day-to-day technical guidance
Plan and own quarterly roadmaps, sprint planning, task breakdown, and execution, ensuring alignment with company and product priorities
Design, build, maintain, and evolve ML infrastructure for training, evaluation, and deployment of computer vision models
Own the end-to-end ML lifecycle in production, including experimentation workflows, training orchestration, model versioning, deployment, and monitoring
Balance delivery and technical excellence by making architectural decisions and enforcing engineering best practices
Work closely with research, data, product, and platform teams to move models reliably from research to production
Actively contribute code to critical components and review design and implementation across the team
Evaluate and introduce new technologies and tooling to improve scalability, reliability, and developer productivity

We are seeking a highly motivated Technical Project Manager to join the R&D department.
About us
We are one of the fastest-growing sports betting and iGaming affiliate companies in the industry, specializing in experience-driven technology. Were looking for employees who are ambitious, willingly take ownership, and execute effectively - all to power the company forward.
What will you do?
Take full ownership, understand the business needs and workflows, Identify the problems and needs, conduct the necessary research, and decide the appropriate course of action.
Work closely with cross-functional teams to ensure the project's success.
Manage and monitor projects with top-down oversight throughout entire execution to ensure success as defined by adherence to standards of scope, budget, and timeline.
Collaborate with top-notch developers to define the product strategy, prioritize the backlog and deliver on time with high quality.
Be the voice of the cross-functional teams and other product managers by understanding the developer pain points, driving the discovery process, and delivering innovative solutions that address their needs.
Developing data infrastructures and the admin system while considering all stakeholders' needs.

As a tech lead, you will take a leading part in designing and building the infrastructure for connecting and analyzing huge, privacy protected datasets in the cloud using Java, Spark and other technologies and mentor team members.
What You'll Do
Design and develop platform capabilities for scalable data products tailored to enterprise customers
Collaborate with Product Managers, Software Engineers, and DevOps Engineers to gather requirements, create systems, feature design documentation, and implement solutions across diverse environments
Write Java-based back-end code, leveraging Spark, various cloud services, and relational databases
Partner with the production team to define solutions, monitor services, troubleshoot issues, and identify cost optimization opportunities
Mentor and guide team engineers, providing support in their daily tasks and development
Build and use monitoring infrastructure to track services, troubleshoot problems and optimize performance, throughput and costs
Address privacy challenges to ensure the protection and confidentiality of consumer and patient data

As a senior software engineer, you will take a leading part in a dedicated team designing and building the infrastructure for connecting and analyzing huge, privacy protected datasets in the cloud using Java, Spark and other technologies.
What You'll Do
Work with Product Managers and team members to understand requirements, create and discuss feature design documents, and implement solutions
Build platform capabilities for a set of new scalable data products to support enterprise customers
Write back-end code in Java, which involves Spark, multiple cloud services, and relational databases
Build and use monitoring infrastructure to track services, troubleshoot problems, and optimize performance, throughput, and costs
Investigate production issues and ensure the system is constantly improving
Work with the production team to track services, troubleshoot problems, and figure out how to reduce costs
Solve privacy challenges to ensure consumer and patient data is never exposed

We are seeking a highly motivated Back-End Developer with excellent problem-solving and communication skills, which will be joining a dynamic team. A strong developer with some practical experience, and the drive and enthusiasm to succeed in a demanding and professional team environment.
About us:
Our Group is one of the fastest-growing sports betting and iGaming affiliate companies in the industry, specializing in experience-driven technology.
Were looking for employees who are ambitious, willingly take ownership, and execute effectively - all to power the company forward.
What will you do?
We are looking for someone who can plan, build and maintain a high-performance & scalable platform. Develop elegant solutions using open-source tools.
The Back-end Developer will proactively look for ways to make the system better. We are looking for a motivated, innovative and results - driven person.

seeking a talented Site Reliability Engineer to join our team in Israel. Our SRE team is responsible for the design, creation, and maintenance of our healthcare data platform hosted on multiple cloud/on-prem environments. This is an amazing opportunity to work with a world-class technical team and to be responsible for designing, creating, and provisioning infrastructure as well as deploying and maintaining applications with a focus on infrastructure as code We aim to adopt the best solutions to fulfill our requirements. Join us in solving complex challenges in the healthcare data industry. So, if you want to grow with us and work for a world leader company, now is the right time to join.
What You'll Do
Ensure high uptime and reliability of Crossixs production environment, on-prem and cloud
Take responsibility for managing the production environment, security, change management, deployment, architecture, and tools
Perform root cause analysis for complex failures and offer modern solutions and tools
Lead technical discussions with our health data partners in the USA
Analyze performance and stability issues and create in-house automation tooling
Work closely with DevOps, R&D, product, and project managers to enable automated CI/CD methods
Design, develop, and drive troubleshooting & mitigation tools as part of driving self-healing agenda
Constantly improve the technology stack, supporting the data growth and the customers requirements
Working in a data-driven company with cutting-edge environments that combines multiple cloud technologies

seeking a talented Engineer to join our Big Data Analytics Tools group in Israel.

This is an amazing opportunity to work with a world-class team and to hold responsibility for designing and implementing big data platforms and pipelines.

You will work with Engineers, Data Scientists, DevOps, and PMs and be in charge of designing and developing Apache Spark applications on AWS infrastructures that process large volumes of media exposure records while preserving privacy.

If you want to grow with us and work for a world leader company, now is the right time to join.
What You'll Do
Be part of an engineering team that focuses on Big Data analytical platforms and tools
Design and implement highly reliable and scalable Spark applications that efficiently process big data
Collaborate with data scientists on the design and implementation of ML data pipelines
Integrate with relational databases, MongoDB, and AWS services (e.g. EMR, S3, SQS)
Work in an agile team to improve the development life cycle, development practices, and testing facilities

As a Software Engineer - Modi'in, you will take part in building scalable, high-performance systems that power some of the largest digital marketing platforms in the world. You will be responsible for developing end-to-end features while working with cutting-edge technologies and handling real-world scale. You will collaborate closely with Product Managers, UX designers, architects, engineers, and cross-functional teams to shape product direction and deliver high-quality solutions. As part of a strong, experienced team, you will contribute to architectural decisions, and continuously push the boundaries of what our platform can do.

Key Responsibilities

Design, implement, and deploy end-to-end features and products, spanning from database and backend services to client-facing components.
Tackle complex, large-scale technical challenges, ensuring the performance, scalability, and reliability of platform and infrastructure.
Collaborate with Product Managers, UX designers, architects, and cross-functional teams to deliver high-quality, impactful solutions while shaping product direction.
Analyze and optimize the performance, scalability, and reliability of our products, infrastructure, and internal tools.
Work with GenAi coding assistants
Proactively research and implement emerging technologies to continuously enhance our platform offerings.

Building and maintaining complex revenue forecast models and business plans.
Architecting and implementing scalable revenue reporting infrastructure and sophisticated financial modeling frameworks to drive data integrity, predictive forecasting, and long-term business scalability.
Designing and developing monthly reporting packages that include full financial analysis, comprehensive Key Performance Indicator (KPI) reporting, unit economics, operational Dashboards, and analysis of key business trends.
Analyzing actual versus budget variances and providing comprehensive executive-level explanations of differences.
leveraging AI tools to optimize financial workflows and enhance organizational work infrastructures.
Delivering key financial forecasting along with insightful performance reporting and analysis.
Providing analytical frameworks and strategic insights to identify risks and opportunities associated with the financial planning of the company's yearly budgeting.
Preparing monthly internal and external analysis and reports for Profit and Loss (P&L) and other Key Performance Indicators of the business.
Preparing management reports and commentary on the business, delivering insightful analysis to leadership.
Developing financial models and analyzing them to support strategic initiatives.
Supporting the management team and Board of Directors (BoD) with data-driven analysis and strategic decision support.
Taking ownership of fast-paced projects with rapidly shifting priorities, managing them through to completion with patience, flexibility, and passion.

As a Data Scientist , you will be a part of a large and innovative data science group, working closely with Dev teams and product managers, to create business value through Data Science and Machine Learning methods using cutting edge technology, on large and diverse datasets.

The Role consists of understanding customers' needs and product requirements, exploring data, identifying and defining functionality from conception to delivery, creating and improving algorithms and ML pipelines, building measurement tools, providing data visualizations, and more.

Deliver end-to-end ML products - including data processing, problem analysis, research, model development, validation and metrics, implemented in production and with online testing.