We're looking for a skilled and motivated Backend Team Lead to join our engineering group.
This is a hands-on leadership role where you'll help shape the architecture of our products, mentor developers, and collaborate across departments to build scalable, reliable, and innovative services.
A day in the life:
Lead and mentor a team of backend engineers, developing a revolutionary product that makes a real-world impact.
Tackle fascinating technological challenges alongside brilliant minds.
Collaborate closely with research, product, frontend, and DevOps teams to deliver end-to-end solutions.
Drive architecture decisions and contribute to the long-term technical roadmap.

We are seeking an experienced Backend Tech Lead to join our recommendations group. As a Tech Lead, you will be instrumental in shaping the technical direction and architecture of our backend systems. You will leverage your deep expertise in backend technologies to design, build and scale backend services while guiding a group of engineers toward delivering robust, high-performance solutions. This role offers the opportunity to collaborate with cross-functional teams and contribute to projects that impact the entire organization. If you're a leader with a passion for backend development, we would love to have you on board!
Role:
As a Backend Tech Lead, your responsibilities will include:
Mentoring and guiding backend engineers to ensure high-quality code and effective development processes.
System design and architecture: Designing scalable, efficient, and secure backend systems, including APIs and data storage solutions, using technologies like Python, MySQL, Redis and Elasticsearch.
Tech stack evolution: Driving improvements in backend technologies, frameworks and development practices.
Cross-functional collaboration: Working closely with product managers, frontend teams and other stakeholders to ensure backend services meet business requirements and technical specifications.
Performance and scalability: Ensuring that our backend services are highly available, scalable and optimized for performance.
Cloud infrastructure: Overseeing cloud services and ensuring backend systems are seamlessly integrated with cloud platforms.
Code quality and best practices: Writing and maintaining clean, maintainable and well-documented code, while fostering a culture of code reviews, continuous improvement and adherence to best practices.
Technical leadership: Owning the technical direction of backend systems, making key architectural decisions and promoting industry best practices within the group.

Were looking for a Backend Infrastructure Tech Lead to join our core infrastructure team. This role is all about building and evolving scalable, high-performance backend systems that serve as the foundation for all our product engineering teams.
Youll be responsible for designing and developing distributed systems, owning critical backend infrastructure services, and working closely with architects, DevOps, and product engineers to ensure our platform is reliable, efficient, and future-proof.
In this role, you will be responsible for:
Designing, developing, and maintaining scalable infrastructure services and middleware in a distributed microservices environment.
Leading cross-team backend infrastructure initiatives that impact the entire R&D organization.
Building robust systems that support our product teams with high availability, observability, and fault tolerance.
Partnering closely with architects, DevOps, and backend engineers to define and implement best practices across the stack.
Driving performance improvements and architectural evolution with a long-term vision in mind.
Proactively identifying technical gaps and areas for optimization across our backend infrastructure.

As a Backend Team Lead, you will play a key role in helping our scale. You'll work closely with product managers & full-stack team lead, drive outcomes, and contribute directly to the companys mission and culture. This is an exciting opportunity to join a fast-growing company and make a real impact.

Responsibility:
Lead, mentor, and grow a team of backend engineers.
Own and drive technical design and implementation of backend services in Go, using Postgres, Neo4j, NATS, RabbitMQ, and an event-driven architecture.
Split your time between hands-on coding and people leadership (about 50/50).
Identify your engineers needs and set them up for success.
Collaborate cross-functionally with product, frontend, and other teams to deliver features smoothly.
Be proactive in spotting areas for improvement, whether in system reliability, scalability, or team processes.
Champion our values and help shape our growing engineering culture.

We are looking for a Senior Data Scientist (Applied AI).
As a Senior Data Scientist on our Applied AI team, you will join our Tel Aviv office and play a hands-on, end-to-end role in delivering innovative capabilities that help mayors and other city leaders understand their communities and improve the lives of millions worldwide. Reporting to the Applied AI Team Lead, you will collaborate with product, engineering, and fellow data-science teammates to turn cutting-edge research into production-ready solutionsquickly, reliably, and with maximum real-world impact. Youll work with a rich mix of data sources (including social media, news stories, survey results, resident feedback, and more) to create models and AI-powered features that scale.
Day to Day:
Design, build, and deploy AI and machine-learning solutions, from data exploration through modeling, evaluation, and integration into customer-facing products and internal tools.
Optimize models for quality and scalability through feature engineering, hyper-parameter tuning, runtime profiling, and thoughtful architectural choices.
Build and maintain data pipelines using tools such as Airflow, Spark, and Databricks to ensure clean, reliable inputs for downstream models.
Collaborate closely with product managers, engineers, and designers to refine problem statements, iterate rapidly, and ship impactful features on schedule.
Champion technical excellence by conducting code reviews, sharing best practices, and mentoring teammates across data science and engineering.
Stay current with the latest developments in AI-including LLMs, RAG systems, and AI agents-and proactively propose ways to incorporate new techniques into our workflows.
Work an in-person or hybrid schedule, spending at least three days per week in our Tel Aviv office.

Were looking for a Senior Software Engineer with a passion for solving tough technical challenges, working across the stack, and building systems that matter. This is your opportunity to work on an advanced, real-world product involving computer vision, edge computing, and scalable cloud architecture.
🚀 What Youll Do:
Design and implement robust, scalable components across the software stack.
Take end-to-end ownership of complex featuresfrom concept to deployment.
Collaborate with product managers, system engineers, and AI researchers to build integrated solutions.
Contribute to a high-performance platform that combines real-time sensor data, video analytics, and cloud services.
Build and maintain CI/CD pipelines and automated test frameworks.
Lead with qualitywriting clean, testable code and applying TDD principles.
Mentor teammates, share knowledge, and help set best practices across the team.

We are looking for a Senior Backend Engineer to join our AI/ML team. In this role, youll work closely with data scientists to transform cutting-edge machine learning models into scalable, production-ready services. You will take ownership of designing, building, and maintaining the backend systems that power our AI-driven features.

This is a key position that bridges the gap between data science and production engineering, ensuring high performance, reliability, and maintainability of our ML-powered products.

Responsibilities:
Collaborate with data scientists to understand modeling outputs and convert them into deployable services.
Design and develop robust, scalable backend systems and microservices to support AI use cases.
Own the deployment and monitoring of ML models in production (with CI/CD, logging, observability).
Implement data processing pipelines in support of model training and inference.
Ensure software adheres to best practices in architecture, testing, and documentation.
Optimize model inference for latency, throughput, and resource efficiency.
Contribute to design decisions and technical strategy alongside AI and infrastructure leads.

JR304076
In this role, you will have a crucial role in designing and implementing cloud-based infrastructure and platform tools for Salesforce Agentforce. This role requires high technical skills along with a strong affinity for architecture, Infra scaling, performance, and Infrastructure development to improve the performance and scalability of systems. You will be leading the R&D teams development methodology, tools, and frameworks and make a significant impact on the go-to-production process for an auto-scaled cloud system.

Who Youll Work With:

You will be a part of the Salesforce AI Platform, an AI technology that makes all Salesforce products smarter and powers Agentforce. In AI Platform, we develop AI solutions for all Salesforce clouds. We automate data entry and predictive analysis so our customers can make every selling moment count. Our AI solution prioritizes the best next steps, helps to win more opportunities, makes better decisions, increases forecast accuracy, and more.

Salesforce AI Platform group comprises data scientists, engineers, and growth analysts dedicated to driving product strategy with data-driven insights.

Responsibilities:

Key role in designing and implementing cloud-based AI and Generative AI Infrastructure and services as part of the Salesforce AI Platform. Build a large-scale infrastructure to support the AI Platform for Salesforce Engineers and Data Scientists. Utilize best architecture/capabilities across different underlying platforms while avoiding duplication of functionality (i.e., one implementation of each significant component) and building shared services across multiple applications.

Develop software solutions by studying information needs, and systems flow, data usage, and work processes, investigating problem areas, following the software development lifecycle.

Support software engineers by providing advice, coaching, and educational opportunities.

we are the leader in Behavioral Biometrics, a technology that leverages machine learning to analyze an online users physical and cognitive digital behavior to protect individuals online. our companys mission is to unlock the power of behavior and deliver actionable insights to create a digital world where identity, trust, and ease coexist.Today, 34 of the world's largest 100 banks and 210 total financial institutions rely on our companyConnect to combat fraud, facilitate digital transformation, and grow customer relationships.. our companys Client Innovation Board, an industry-led initiative including American Express, Barclays, Citi Ventures, and National Australia Bank, helps our company to identify creative and cutting-edge ways to leverage the unique attributes of behavior for fraud prevention. With over a decade of analyzing data, more than 80 registered patents, and unparalleled experience, our company continues to innovate to solve tomorrows problems.
We are looking for a proactive and skilled Software Infrastructure Developer to join our team, focusing on building robust and scalable infrastructure to support seamless automation and reliability across systems. This role is essential in ensuring efficient integration within our CI/CD pipelines, creating tools and frameworks for end-to-end automation, and working with engineering teams to continuously enhance system stability. The ideal candidate will bring strong technical expertise in automation, CI/CD (with hands-on knowledge of Jenkins), containerization, and cloud infrastructure, along with proficiency in Python and Node.js.
Key Responsibilities:
Software Infrastructure Design: Design, build, and maintain scalable automation infrastructure and frameworks to ensure consistency and reliability on various systems.
Tool and Library Development: Develop libraries and tools to simplify the creation and management of end-to-end automation, enabling efficiency and ease of use.
CI/CD Integration: Integrate and optimize automation frameworks within CI/CD pipelines to streamline deployment and operational workflows.
Feature Ownership: Take ownership of new features and products from design to production, ensuring high-quality, reliable releases.
Cross-Team Collaboration: Collaborate with cross-functional engineering teams to gather insights and requirements, driving continuous improvement of automation tools and frameworks.
Documentation and Knowledge Sharing: Document best practices and usage guidelines for libraries and tools to promote effective adoption and knowledge sharing across teams.
Technology Evaluation: Continuously research, evaluate, and implement new technologies to maximize development efficiency and innovation.

JR295989
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)