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Join our team as a Data Analyst and become part of our expert team, specializing in processing high-quality geographic data, databases, and layers to drive innovative solutions in the GIS world. Dive into technical research, automated process development, and critical decision-making to revolutionize real-time infrastructure data accessibility.



Responsibilities

Process and analyze geographic data, databases, and tabular data with a focus on high-quality outputs.
Conduct technical research, assess the relevance and quality of geographic data layers, and make informed decisions regarding their usability.
Contribute to the development of broader automated processes aimed at enhancing data analysis capabilities.
Design tools for statistical analysis and automation to improve efficiency and accuracy in handling geographic data.
Utilize expertise in GIS and mapping to interpret and manipulate geographic data effectively.
Collaborate with team members to ensure the accuracy and relevance of geospatial information for real-time data product features.

We are seeking a Senior Algorithm Engineer to join our core Algo team. This team is responsible for developing algorithms that address a wide range of Computer Vision/ML challenges in our effort to map the subsurface world.

Our algorithms leverage cutting-edge computer vision methodologies and extensive commercial Geographic Information System (GIS) datasets.

We are looking for a skilled Senior Algorithm Engineer with significant experience in building algorithm-based systems, especially in complex environments. You will design and implement end-to-end solutions from idea generation to production.

Design, implement, and maintain robust data pipelines and ETL/ELT processes on GCP (BigQuery, Dataflow, Pub/Sub, etc.).
Build, orchestrate, and monitor workflows using Apache Airflow / Cloud Composer.
Develop scalable data models to support analytics, reporting, and operational workloads.
Apply software engineering best practices to data engineering: modular design, code reuse, testing, and version control.
Manage GCP resources (BigQuery reservations, Cloud Composer/Airflow DAGs, Cloud Storage, Dataplex, IAM).
Optimize data storage, query performance, and cost through partitioning, clustering, caching, and monitoring.
Collaborate with DevOps/DataOps to ensure data infrastructure is secure, reliable, and compliant.
Partner with analysts and data scientists to understand requirements and translate them into efficient data solutions.
Mentor junior engineers, provide code reviews, and promote engineering best practices.
Act as a subject matter expert for GCP data engineering tools and services.
Define and enforce standards for metadata, cataloging, and data documentation.
Implement monitoring and alerting for pipeline health, data freshness, and data quality.

Were looking for a Junior Software Engineer to join our growing development team.
This is a unique opportunity for a motivated developer to work on meaningful projects, learn from experienced engineers, and grow in a fast-paced, innovative environment.
Responsibilities
Design, develop, and maintain backend services and integrations
Write clean, efficient, and testable Python code
Collaborate closely with cross-functional teams, including Product, AI, and DevOps
Participate in code reviews and contribute to technical discussions
Troubleshoot, debug, and optimize application and system performance

As a Engineering Manager , youll join an energetic and dynamic team, taking on a pivotal role in driving our innovative projects forward. You will be part of a highly talented and motivated development team responsible for Driver Operations and Management system. This role involves leading a team of skilled engineers, ensuring the delivery of high-quality software solutions, and contributing to the continuous improvement of our development processes.

What Youll Do:

Lead and manage a team of Backend and Frontend engineers, overseeing the development of both end-to-end services and core infrastructure components.
Collaborate closely with cross-functional teams within , to ensure seamless project execution.
Develop, own, and execute the team's roadmap, ensuring alignment with the company's strategic goals.
Oversee project objectives to enhance and support the overall product strategy.
Play a central role in managing, coaching, and fostering the growth of your engineering team.
Guide and mentor team members to ensure they deliver exceptional results by promoting best practices and addressing technical challenges on projects requiring advanced technical expertise.

As a Senior Platform Engineer , youll join our R&D center in TLV. Youll be part of a team of developers and devops engineers, directly contributing to our product by using cutting-edge technologies. Youll take a critical part in our mission to shape the future of transportation, affecting tens of thousands of riders daily worldwide.

The Platform Group is a cross-functional group dedicated to building and maintaining the robust foundation on which operates. This team is responsible for designing, implementing, and managing cloud infrastructure, Kubernetes clusters, CI/CD systems, and tools that empower our development and production environments.

With a focus on enhancing developer experience, operational efficiency, and reliability, the team drives initiatives that:

Design and implement scalable and secure cloud infrastructure.
Develop and maintain Kubernetes clusters and related tools, ensuring high availability and performance.
Manage edge gateways, WAF solutions, and other critical infrastructure components.
Define and enforce CI/CD standards to streamline development and delivery workflows
Build tools and automation to enhance productivity across engineering teams.
Ensure the reliability, security, and scalability of production infrastructure.
What Youll Do:

Define infrastructure standards for dev teams
Design, implement and develop tools for controlling infrastructure of micro services
Build CI/CD automation and templates with GitLab
Build, maintain and operate AWS and Kubernetes infrastructure
Develop and maintain an in-depth understanding of the applications and architecture
Work in contact with other teams across the company to ensure smooth and documented changes to all environments
Identify and resolve problems in mission-critical services, automating remediation procedures to prevent recurrences
Bring ideas to the table, take ownership over their project timelines and deliverables and help us scale

We are looking for an experienced Senior Software Engineer to join our team and help design, build, and scale the systems that power our products. In this role, you will work on high-impact projects that combine cutting-edge technology, complex distributed systems, and challenging algorithmic problems in transportation, routing, and navigation. You will have the opportunity to own features end-to-end, make key technical decisions, and shape the architecture and reliability of large-scale systems.

What Youll Do:

Architect, build, and scale robust, high-performance systems from initial design through deployment to production.
Own features end-to-end, from concept through development, testing, deployment, and maintenance, with strong accountability.
Develop features and APIs for concurrent applications in Golang.
Implement and improve geometric and graph algorithms to support core product
functionality.
Maintain Python and Java server applications, ensuring reliability and stability.
Write production-grade code that is efficient, reliable, maintainable, and optimized for performance.
Optimize application performance, uptime, and scalability, while maintaining high standards of code quality and thoughtful application design.
Run benchmarks and write analysis scripts for geographical data.

We are looking for a Principal Backend Engineer to join our Cortex backend engineering group.
The group develops and maintains the backend of Cortex products Cortex XSOAR, Cortex XDR, and Cortex XSIAM. The great majority of the Cortex engineering group is located in the TLV office which allows us to operate at a high pace with short loops of decisionmaking.
You will join a team focused on developing, innovating, and scaling the Cortex XSOAR product, along with contributing to shared Cortex infrastructures and components. We are looking for candidates with a cando attitude, who are passionate about complex problems and thrive on bringing value to thousands of customers.
More information about XSOAR, here.
Your Impact
Production at scale!
Endtoend backend development of features and components across their entire life cycle (design, develop, test, deploy, maintain)
Providing real time mitigation and solutions to complex production issues
Work closely with peers across different teams and disciplines to shape solutions and integrate with other parts of the product
Contribute to teamwide efforts code reviews, design reviews, technical and architectural decisions
Participate in a rotational on-call schedule to ensure the smooth operation of our production systems and provide real-time support for critical issues.

the Senior Data Engineer position is a central role in the Tech Org. The Data Engineering (DE) team is a Change Agent Team that plays a significant role in the ongoing (at advanced stages) migration of to cloud technologies. The ideal candidate is a senior data engineer with a strong technical background in data infrastructure, data architecture design and robust data pipes building. The candidate must also have collaborative abilities to interact effectively with Product managers, Data scientists, Onboarding engineers, and Support staff.
Responsibilities:
Deploy and maintain critical data pipelines in production.
Drive strategic technological initiatives and long-term plans from initial exploration and POC to going live in a hectic production environment.
Design infrastructural data services, coordinating with the Architecture team, R&D teams, Data Scientists, and product managers to build scalable data solutions.
Work in Agile process with Product Managers and other tech teams.
End-to-end responsibility for the development of data crunching and manipulation processes within the product.
Design and implement data pipelines and data marts.
Create data tools for various teams (e.g., onboarding teams) that assist them in building, testing, and optimizing the delivery of the product.
Explore and implement new data technologies to support data infrastructure.
Work closely with the core data science team to implement and maintain ML features and tools.

As a Staff Engineer, you will be the technical lead and driving force behind the groups most complex initiatives. You will work closely with engineers, tech leads, architects, and product managers to solve high-scale distributed systems challenges, improve performance, and design robust, future-proof systems.
This role is ideal for experienced software architects and senior developers who are passionate about system architecture, performance at scale, and leading cross-team engineering efforts without formal management duties.

Key Responsibilities
Act as the technical authority for large-scale backend systems within the Execution group.
Gain deep understanding of the Orchestration groups services, the campaign targeting flow, and how the product works as a whole, in order to make architectural decisions in the broader product context.
Champion the groups strategic adoption of AI and Vibe Coding practices, becoming a key enabler for increasing developer efficiency through the use of cutting-edge AI development tools.
Lead the design and implementation of distributed, high-throughput, low-latency services that support billions of message executions monthly.
Partner with Engineering Managers and Architects to shape the groups long-term technical vision and architecture roadmap.
Define and enforce engineering standards and best practices across services.
Conduct in-depth design and code reviews, mentoring other engineers and elevating technical excellence.
Proactively identify cross-cutting concerns and drive group-wide engineering initiatives (e.g., observability, resiliency, fault tolerance).
Analyze and improve system bottlenecks in data flow, message queuing, storage, and processing pipelines.
Take ownership of non-functional requirements such as reliability, scalability, maintainability, and security.
Collaborate with Product and Data Science teams to ensure engineering plans align with business priorities.

For many of us theres that one podcast we never miss, and video content is part of our daily routine, whether its professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at our company, we know it well. Thats exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease.
our companys technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
About the Data Team
our companys Data & Analytics team believes theres a better way to make data useful than just creating endless dashboards. We focus on in-depth analysis and building scalable, trustworthy data solutions that help every team make faster, smarter decisions. From analytics and business intelligence to data pipelines and predictive models, we turn raw information into real impact. If youre passionate about finding radical new ways to leverage data, youll fit right in.
On your day to day
On a day-to-day basis, we transform raw data into clean, structured models using tools like SQL, Python, and dbt. We build and maintain modern BI platforms, develop reporting systems, and design AI-driven analytics that surface valuable insights quickly and reliably. Our team is hands-on with building reusable metrics, defining source-of-truth data models, and ensuring consistency through a strong semantic layer. Whether were shipping a new dashboard, debugging a dbt model, or refining how a metric is defined across the business, our focus is always on clarity, scalability, and enabling smarter, faster decisions.

As a team member in a growing startup, your impact on the company is unbound: our team not only implements the plan, but actually creates the plan, engages with customers and product management, defines testing and execution methodologies, according to each core team member's strong suites and preferences. We believe in distributed decision making, and we expect high investment in developer experience, test automation, and overall quality of architecture and code.

Responsibilities
Hands-on end-to-end development, including DevOps tasks and automated testing
Work in a cloud-native environment (Azure), microservices architecture, cutting-edge technologies, and a quality-first mindset
Deliver UI components and full screens taking wireframes from design to full implementation
Design and improve our developer experience (DX), system architecture, and product infrastructure
Collaborate closely with the core team, participate in code reviews, interviews, and task prioritization
Take ownership and responsibility your impact will grow as the company scales
Tackle scalability and performance challenges as we grow and our user base expands

We are looking for an experienced Senior Backend Engineer to join our fast-growing company during a breakthrough stage, as we build our dream team of the most passionate and professional people in the industry. Our team thinks differently and quickly, delivering high-quality and unique code while using the latest technologies and frameworks - all without forgetting to enjoy the ride!

What Youll Do?
Take part in all development aspects, from design to production, of a wide hybrid/cloud-native product.
Write high-quality, testable, and efficient code using Python and Go.
Initiate and promote new ideas for continuous improvement of product functionality.
Work closely with other team members, as well as mentoring new team members.

Join a team that builds and operates the core data services behind products.
As a Senior Data Engineer, you will design, build and maintain:
Data pipelines and data services
Microservices and internal APIs
The infrastructure and tooling that keep our data systems reliable, observable, and scalable
This is a hands-on role that combines Data Engineering, Backend Development and DevOps.
Its ideal for someone who enjoys working across layers: from schema design and data flows, through microservice code, to Kubernetes, CI/CD and observability.
Responsibilities:
Design and maintain robust infrastructure for large-scale data processing and streaming systems.
Develop automation and deployment processes using CI/CD pipelines.
Build and operate Kubernetes-based environments and containerized workloads.
Collaborate with data engineers to optimize performance, cost, and reliability of data platforms.
Design and develop REST-API microservices.
Troubleshoot and resolve complex issues in production and staging environments.
Drive initiatives that enhance observability, scalability, and developer productivity.
Lead by example - share knowledge, mentor teammates, and promote technical best practices.

we are seeking a highly skilled and motivated Full Stack Engineer to join our dynamic development team.
In this role, you will be responsible for a challenging overall development and implementation of front and back-end software applications, from designing architecture to high-level programming, performance testing, and systems integration.
Responsibilities:
You will build client side applications with reusable code and modular components.
Collaborate with cross-functional teams, including product managers, designers, and other engineers, to understand project requirements and translate them into technical solutions.
Design, develop, and maintain user-friendly and responsive web applications using TypeScript and other modern web technologies.