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Were looking for a Senior Software Engineer, iOS to join our company and work on consumer-facing, Generative AI-first applications, helping drive our creator ecosystem and deliver delightful mobile experiences.
Qualifications
5+ years professional iOS development experience (Swift & Objective-C)
Experience building B2C, consumer-facing apps and delivering features end-to-end
Strong knowledge of iOS frameworks (UIKit, Foundation, Core Animation, Core Data)
Understanding of Swift/Objective-C runtime, OS internals, and mobile optimization
Proficiency in multithreading, performance tuning, and software design patterns
Strong CS fundamentals (algorithms, data structures) and problem-solving skills
Collaborative and proactive, able to work effectively with product, design, backend, and iOS teams
Familiarity with modern development workflows.

Were looking for a Lead Software Engineer, iOS to work on consumer-facing, Generative AI-first applications, helping drive our creator ecosystem and deliver delightful mobile experiences.

We are looking for a Fullstack Team Leader who can rally a team behind a vision, build it efficiently, and have the foresight to help the company scale through software. This position is meant for those who want to be in the thick of things and make impactful decisions.
You will be building and maintaining our most sensitive systems and platforms that enable and empower our companys growth. Our system supports millions of requests per second and should be built to scale and high performance. In our data-driven environment, your team's planning and implementation has a crucial role in our ability to support our clients.
we are a fantastic place to work. We reward talent. Our employees support each other to advance individually and as a team. Most of all, we exceed our clients expectations while still having fun.
Responsibilities:
Design, code, and manage large scale, highly available, real-time (low latency) services using cutting edge technologies (Node.js, React, Redis, Kubernetes, etc. over AWS).
Lead and mentor a team of around 4 members, abroad, and performing code reviews to other team members.
Work with stakeholders including the Executive, Product, Data, and Design teams to craft the most optimal solutions for our problems.
Design and develop APIs or integrate with 3rd party APIs.
Manage a time-efficient sprint plan. Plan, groom and manage the present sprint and the upcoming ones with Product.
Understand and implement security and data protection needs, and assist in-house teams and supply creative solutions for various problems.

We are seeking a Senior Data Engineer to join our R&D organization as part of a backend-oriented team, responsible for building and scaling the core data infrastructure.
In this role, you will design and develop data pipelines that stream and process data directly from production systems. You will play a key role in shaping our data platform, building robust, scalable infrastructure and pipelines using modern technologies, and working hands-on with both new components and existing systems.
Responsibilities
Collaborate as a strong team player within a dynamic, cross-functional environment
Design, develop, and maintain scalable data models, Lakehouse architectures, pipelines, and ETL processes
Enhance data workflows to support efficient real-time and batch processing
Work closely with cross-functional teams to understand data requirements and deliver impactful solutions
Stay up to date with the latest data engineering technologies and best practices, continuously improving our data platform.

We are looking for an ML Engineer / MLOps Tech Lead to promote machine learning engineering excellence. Someone who is passionate about building scalable, high-quality data products and processes, while ensuring production systems maintain strong real-time performance observability.
You will focus on designing and maintaining the core infrastructure that empowers the Machine Learning Engineers working within Data Science product teams. Youll collaborate closely with stakeholders across data science, product, and engineering, playing a pivotal role in driving the business by architecting and enabling the infrastructure for machine learning model development, serving, and lifecycle management-the foundation of our product.
Responsibilities:
Collaborate with product, data science, and engineering teams to solve complex problems, identify trends, and create opportunities through robust ML infrastructure.
End-to-end ML delivery - enabling model performance development, training, validation, testing, and version control.
Build and support monitoring and observability tools - dashboards, alerts, and performance tracking of models in production.
Lead architecture projects such as: Feature Store, Vector / Graph Databases.
Data wrangling - supporting and enabling data requirements for research, training, validation, and testing.
Drive engineering best practices including code and model versioning, CI/CD pipelines, rollout strategies, and disaster recovery procedures.

we are on a mission to bring identity security everywhere - to every human, machine, and AI agent, both on-prem and in the cloud. Our unique technology secures identities & access at runtime, in ways that werent possible before. With the broadest identity security platform in the market, trusted by more than 1,000 customers including many Fortune 100 companies, we are uniquely positioned to lead the fast-growing identity security category.
Joining our company means becoming part of a fast-moving team with a culture of innovation and collaboration, that goes above and beyond to help our customers and each other, on a journey to reshape the future of identity security.
As a DevOps Engineer, youll design and implement a full CI/CD solution on AWS and Azure with Kubernetes, while supporting and scaling our cloud infrastructure using Infrastructure as Code.
Responsibilities
Design and implement robust, scalable, and highly available cloud solutions to ensure seamless service delivery and support rapid business growth
Focus on cross-service integrations and components within the SaaS stack, adhering to DevOps best practices
Develop, enhance, and maintain CI/CD pipelines using a GitOps-driven approach, ensuring efficient and secure deployment workflows
Streamline processes through automation, focusing on scalability, security, metric collection, and enhanced visibility across environments
Partner with developers to optimize service reliability, performance, failover strategies, and scalability
Work as part of an innovative and high-performing team, leveraging modern tools and technologies.

we are on a mission to bring identity security everywhere - to every human, machine, and AI agent, both on-prem and in the cloud.
Our unique technology secures identities & access at runtime, in ways that werent possible before. With the broadest identity security platform in the market, trusted by more than 1,000 customers including many Fortune 100 companies, we are uniquely positioned to lead the fast-growing identity security category.
Joining our company means becoming part of a fast-moving team with a culture of innovation and collaboration, that goes above and beyond to help our customers and each other, on a journey to reshape the future of identity security.
We are looking for a Full Stack Software Engineer to join us. As a Full Stack Software Engineer at our company, you will work across the stack, from backend services that process and analyze large-scale security data to a modern frontend that transforms complex information into intuitive, actionable workflows. You will design and maintain high-performance systems that process millions of authentication events daily, ensuring reliability, scalability, and real-time insights. 
Responsibilities
Design and deliver end-to-end features across high-performance systems
Architect and build scalable services for processing, analyzing, and exposing large-scale security data
Develop advanced security engines with a focus on performance, scalability, and reliability
Own features end-to-end, from design through production and continuous improvement
Collaborate closely with product, support, and cross-functional teams to deliver high-impact solutions.

Were looking for a Senior Data Scientist to take full ownership of high-impact ML problems within our DSP platform.
You will work on core bidding, budget optimization, and prediction systems that operate at massive scale and strict latency constraints. This role combines deep modeling expertise, experimentation rigor, and strong product intuition.
You will be expected not only to build models - but to define problems, challenge assumptions, and drive measurable business impact.
What Youll Do:
Own end-to-end ML projects: problem definition → research → modeling → offline validation → production deployment → online A/B testing → impact analysis.
Develop and improve models for: Bid optimization , Conversion rate / pLTV prediction, Budget pacing and allocation, Auction dynamics & win-rate modeling.
Analyze large-scale, high-dimensional auction and user-level datasets to extract actionable insights.
Design robust feature engineering pipelines across behavioral, contextual, and advertiser-level signals.
Improve model performance under real-time constraints (low latency, high throughput).
Lead experimentation design and statistical validation of online tests.
Collaborate closely with engineering and product to translate research into scalable production systems.

Join our team as a Geo Analyst and play a key role in producing the underground utility maps that sit at the heart of our product. In this entry-level position, youll work hands-on with diverse geospatial datasets and real project outputs, developing a deep understanding of how raw information becomes accurate, high-impact mapping for our customers.

Responsibilities

Process, extract, and analyze spatial data from multiple sources, including aerial imagery, remote sensing, engineering plans, surveys, and web-based datasets.
Deliver customer projects on time and at high quality, working in a fast-paced, deadline-driven environment.
Interpret and classify underground utilities and construction activities using geospatial tools and digital imagery.Work with GIS tools (mainly QGIS) to review, validate, and edit geospatial data.
Perform quality assurance (QA) in collaboration with external and internal experts.

We're seeking an experienced Full-Stack engineer proficient in both front and back-end programming, dedicated to leveraging technology for impactful product development. As a key member of the application team, your role involves designing and developing scalable front-end solutions, web architecture, and end-to-end platform services. Collaboration with product managers, UX/UI designers, and Geo-information analysts is essential to deliver robust features.



Responsibilities

Build top-notch, scalable, and reusable code, adhering to best practices in software engineering, architecture, and processes, including code reviews and testing.
Take complete ownership of new features, collaborating with PMs to define requirements, design scalable solutions, and iteratively enhance them based on user feedback.
Lead the development and maintenance of microservices, contributing to the evolution of our architecture for enhanced scalability and modularity.
Collaborate closely with cross-functional teams to define, design, and deliver high-quality software applications that align with both technical and business requirements.

At our company, Israels first fully digital bank, were building the technology that powers a new era of intuitive, transparent, people-first banking. As our platform grows and our services expand, were looking for a team leader to lead a data engineering team.
The team is responsible for ingestion, processing, and serving bronze level data to other analytic teams in the organization.
In this role, you will define the data architecture of our unified Data Lakehouse, own all ETL and streaming operations, define governance processes and implement tools, make sure our data is fresh, accurate and whole always.
Your Day-to-Day
Menor and lead a team of 4-6 data engineers.
Own sensitive data operations, including monitoring, on-call and production operations.
Build and manage all ETL and streaming operations related to the Data Lakehouse.
Develop, maintain, and optimize robust data pipelines and integrations across multiple systems.
Build a platform for other analytic teams to build data products on top of the Data Lakehouse.
Define and implement quality and governance processes to make sure data is fresh, accurate and whole.
Collaborate with engineering, BI, and business teams to translate requirements into scalable data solutions
Work hands-on with data orchestration, transformation, and cloud infrastructure (OCI, Snowflake, AWS)
Support implementation of best practices in data management and observability.

Required Staff Windows Detection Engineer
What are we looking for?
We are looking for a talented detection engineer, someone who looks at the world differently, who explores, hunts, lives to beat the system and challenge it. Someone who can address tough security problems and deliver solutions quickly.
Why us?
Because you will meet extraordinary challenges facing the newest attacks and tech obstacles and overcoming them.
You will work with the very BEST in the industry in a flexible and independent environment.
You will influence the design of a disruptive product that will shape the security industry of tomorrow.
What will you do?
You will be responsible for detecting the newest malware and exploits based on our EPP platform. The role includes an end to end responsibility for behaviour based detection capabilities, starting from reversing the samples, designing new methods to detect or prevent those, and implementing it in the product in the end. You will be developing and using internal research tools, PoCs and discovering new ways to detect/prevent exploitation attacks (EoP, drive-by attacks and more). At the end of the day, your deliveries will enhance the security of dozens of millions of Windows endpoints which are protected by our platform.

Required Staff Windows Detection Engineer
What Are We Looking For?
Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Staff Windows Detection Engineer, you will research and detect the latest malware and exploits on the EPP platform. You will reverse-engineer samples to design and implement robust detection methods that prevent sophisticated attacks. Additionally, you will develop custom research tools and PoCs to strengthen protection across millions of endpoints.
Why us?
Because you will meet extraordinary challenges facing the newest attacks and tech obstacles and overcoming them.
You will work with the very BEST in the industry in a flexible and independent environment.
You will influence the design of a disruptive product that will shape the security industry of tomorrow.
What will you do?
You will be responsible for detecting the newest malware and exploits based on our EPP platform. The role includes an end to end responsibility for behaviour based detection capabilities, starting from reversing the samples, designing new methods to detect or prevent those, and implementing it in the product in the end. You will be developing and using internal research tools, PoCs and discovering new ways to detect/prevent exploitation attacks (EoP, drive-by attacks and more). At the end of the day, your deliveries will enhance the security of dozens of millions of Windows endpoints which are protected by our platform.

we are a dynamic Fintech-travel startup headquartered in Tel Aviv, with a global presence in Argentina, Spain, the UK, the US, and India. Leveraging cutting-edge technology, our copmpany addresses evolving challenges in the travel industry, generating an impressive $12 Billion in sales annually. As a pioneer in the field, we are committed to delivering real financial value to our extensive network of clients.
We are looking for a Tech Support Specialist that will be par of our global tech-support team, will work closely with our operations team on our flag product maintenance and daily operations while assisting the entire R&D team. Each member of our team is an all-around-player that influences the product from the overall experience to the development, and you'll be no different. You should be passionate about building a product end-to-end, through the UX, design, coding, testing, and deployment phases.
Responsibilities:
Perform in-depth troubleshooting, including DB analysis, reading system logs, and debugging product code to identify and solve complex support issues that were escalated by other support levels.
Maintain a low rate of non-bug escalations to the development team.
Write technical notes and troubleshooting procedures to be used by the entire Support.
Manage assigned cases to meet service level agreements, while continuously providing updates to the business.
Ongoing support and working closely with the business teams throughout the company.

Required Staff Software Engineer - C++ Endpoint Security, Collection Engineering (Data Protection Team)
Our Purpose
We are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join us, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.
About Us
We are a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.
Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.
What Are We Looking For?
Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Senior Software Engineer - C++ Endpoint Security, Collection Engineering (Data Protection Team), you will design and implement low-level C++ or Rust agent modules as a foundational member of our newly formed Data Protection unit. You will research and develop high-fidelity sensors and robust, scalable code to monitor and prevent sensitive data leakage across multiple operating systems. By building these mission-critical collection engines, you will play a key role in defining the technical architecture for our next generation of data-centric security.
What will you do?
Lead, design and implement low-level agent modules (using C++ or Rust), capable of monitoring data access and movement with minimal performance overhead.
Research and evaluate technologies for building high-fidelity sensors that track data access.
Develop robust, scalable, and performant code that operates reliably across multiple operating systems and environments.
Collaborate closely with Core Agent, Backend, and Frontend teams to deliver a unified, user-facing, next-generation data protection product.