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We're looking for a Full Stack Team Lead, backend-oriented, someone who can go deep on Python and distributed systems, stay comfortable enough in React to guide a team that owns both ends of the stack, and help shape how a small, fast-moving engineering team works and grows.



Key Responsibilities

Own backend architecture, APIs, and infrastructure end to end, with hands-on involvement in frontend work where needed.
Lead and grow a small team of engineers across different experience levels, from technical mentoring to career development.
Set the tone for incident response, on-call availability, and production reliability.
Adapt the team's direction as the company grows, and take the lead in shaping how the team works rather than just reacting to change.
Build a culture of open feedback, where the team's input genuinely shapes the roadmap.
Represent the team's needs to company leadership, including on how and where people work.
Participate in code reviews and design discussions, and mentor team members directly.

We are looking for an experienced Data Infrastructure Team Lead to lead our Data Infrastructure team. In this role, you will have formal people-management responsibility for a multidisciplinary team that builds, productionizes, and improves big data and analytics infrastructure. You will be responsible for team delivery, combining technical depth, agile leadership, and an AI-first mindset to help the team build reliable systems, improve how it works, and continuously raise its engineering standards.

Location: Ramat Gan (Bursa area), Israel - Hybrid model

What will you do?

Lead, manage, and develop a data infrastructure team of approximately 5-7 people.
Take responsibility for team delivery, including planning, prioritization, execution, and continuous improvement.
Lead agile ways of working, including scrum-based delivery practices.
Guide the design, productionization, and ongoing improvement of big data and analytics infrastructure.
Partner closely with cross-functional stakeholders across technical, scientific, and business interfaces.
Help the team adopt AI-first engineering practices, including automation and AI-assisted development workflows.
Drive improvements in team processes, technical quality, delivery predictability, and collaboration.
Support architectural and technical decisions across cloud infrastructure, data pipelines, orchestration, and production systems.
Create an environment where team members can grow, contribute, and improve together.

Were looking for an experienced and passionate Data Group Tech Lead, Staff Engineer to join our Data Platform group in TLV. As the Groups Tech Lead, youll shape and implement the technical vision and architecture while staying hands-on across three specialized teams: Data Engineering Infra, Machine Learning Platform, and Data Warehouse Engineering, forming the backbone of our companys data ecosystem.
The groups mission is to build a state-of-the-art Data Platform that drives our company toward becoming the most precise and efficient insurance company on the planet. By embracing Data Mesh principles, we create tools that empower teams to own their data while leveraging a robust, self-serve data infrastructure. This approach enables Data Scientists, Analysts, Backend Engineers, and other stakeholders to seamlessly access, analyze, and innovate with reliable, well-modeled, and queryable data, at scale.
We believe three things matter for every role at our company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role youll :
Technically lead the group by shaping the architecture, guiding design decisions, and ensuring the technical excellence of the Data Platforms three teams
Design and implement data solutions that address both applicative needs and data analysis requirements, creating scalable and efficient access to actionable insights
Drive initiatives in Data Engineering Infra, including building robust ingestion layers, managing streaming ETLs, and guaranteeing data quality, compliance, and platform performance
Develop and maintain the Data Warehouse, integrating data from various sources for optimized querying, analysis, and persistence, supporting informed decision-makingLeverage data modeling and transformations to structure, cleanse, and integrate data, enabling efficient retrieval and strategic insights
Build and enhance the Machine Learning Platform, delivering infrastructure and tools that streamline the work of Data Scientists, enabling them to focus on developing models while benefiting from automation for production deployment, maintenance, and improvements. Support cutting-edge use cases like feature stores, real-time models, point-in-time (PIT) data retrieval, and telematics-based solutions
Collaborate closely with other Staff Engineers across our company to align on cross-organizational initiatives and technical strategies
Work seamlessly with Data Engineers, Data Scientists, Analysts, Backend Engineers, and Product Managers to deliver impactful solutions
Share knowledge, mentor team members, and champion engineering standards and technical excellence across the organization.

We're looking for a Data Warehouse Tech Lead to drive the technical vision and execution of our data infrastructure that powers decision-making across all of our company.
You'll lead both the technology and the business coordination for our data warehouse - architecting scalable solutions while working closely with stakeholders and data providers to ensure our platform serves the entire organization's needs. This role combines deep technical leadership with strategic business partnership as we build our company's next-generation data stack.
We believe three things matter for every role at our company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools
In this role you'll
Lead technical architecture - design and develop scalable data warehouse solutions that support multiple products and serve the entire organization's analytics needs
Manage the technical roadmap - set strategy and guide execution for the Data Warehouse team, ensuring our platform evolves with business requirements
Drive business process coordination - translate business needs into technical requirements while establishing clear data contracts with R&D, Analytics, and external data providers
Establish and implement best practices - set technical standards for data warehouse architecture, performance tuning, and development methodologies that guide the entire team's approach to building scalable data solutions
Create and maintain sustainable data pipelines - build resilient systems capable of handling unstructured data and managing an evolving schema registry across diverse data sources
Implement advanced data modeling - create robust data structures using methodologies like dimensional modeling, and optimize ETL/ELT processes for our semantic layer
Establish data quality standards - build processes for schema evaluation, anomaly detection, and monitoring data completeness and freshness across all sources
Lead cross-team collaboration - work directly with Data Engineers, ML Platform Engineers, Data Scientists, Analysts, and Product Managers to align technical solutions with business goals.

This is a 100% hands-on role combining critical core coding, architectural leadership, intensive mentorship, and driving an AI-First mindset across the engineering culture. Your goal goes beyond shipping features - it is about building and cultivating a sharp, autonomous, and high-performing engineering team.
What You'll Do
Architecture & Code (Hands-on): Lead end-to-end architecture (Backend & Frontend), take ownership of the stack, databases, and repositories, and write complex core system components.
Product-to-Tech Translation: Deconstruct complex product requirements into clear, precise, and actionable technical breakdowns for developers.
Mentorship & Engineering Excellence: Empower and develop team members, conduct rigorous code reviews, run engineering post-mortems (lessons learned), and build a culture of continuous knowledge sharing.
Agile & Delivery: Drive technical task decomposition, set realistic estimations, and execute stable, predictable sprint deliveries.

Required Data Engineering Team Lead
As a Data Engineering Team Lead, you will:
Design and implement observability solutions for monitoring, overseeing and investigating the security and health of the companys products and infrastructure.
Architect, build and maintain data platform and pipeline tools for ingestion, streaming, transformation and storage.
Partner with security, platform and engineering teams to investigate incidents, support OPSEC research and produce forensic-ready data analysis.
Develop interactive dashboards, automated reporting and alerting workflows that translate complex production data into actionable insights.
Drive strategic improvements in how data shapes OPSEC policies, research, incident response and cross-team risk mitigation efforts.

As an Application Infrastructure Team Lead, youll spearhead the development of the core frameworks and services that power our entire ecosystem. In this role, youll sit at the vital intersection of application development and systems engineering, ensuring our platform remains resilient, high-performing, and developer-friendly as we scale.
If you are a technical heavyweight who loves Java but thrives on leading teams through complex data and infrastructure puzzles, this is your opportunity to build the foundation for our next phase of growth.
Youll Own:
Team leadership & mentorship: Guiding a high-performing engineering team and fostering a culture of ownership and excellence.
Core application infrastructure: Designing and maintaining mission-critical frameworks using Java and Spring Boot.
Technical standards: Defining and enforcing the benchmarks for code quality, system performance, and security across the entire stack.
Streaming & messaging pipelines: Owning the reliability and scalability of asynchronous communication using Kafka or SQS.
Youll Solve:
Data layer optimization: Leading specialists to tackle challenges in high availability and performance across PostgreSQL, MongoDB, OpenSearch, and Redis.
Distributed systems complexity: Designing robust pipelines for asynchronous communication and data streaming at scale.
Architecture gaps: Bridging the gap between DevOps and Product teams to align infrastructure capabilities with evolving business needs.
Youll Impact:
Engineering velocity: Providing the foundational building blocks that empower all product engineering teams to build faster and better.
System reliability: Ensuring the high availability, scalability, and security of mission-critical systems.
Technical culture: Driving a mindset of continuous improvement and technical excellence that resonates across the R&D organization.

This is a highly technical, hands-on leadership role for someone who loves solving complex engineering challenges.

You'll lead the architecture and development of our AI initiatives while remaining deeply involved in coding, technical decision-making, and mentoring the engineering team.

If you're passionate about building AI-native products, designing scalable systems, and leveraging the latest AI technologies to accelerate development-you'll fit right in.

What You'll Do:

Design and lead the architecture of complex AI-powered features and services.
Build scalable Full Stack solutions using Node.js and React.
Develop AI-native products using modern LLM technologies.
Drive technical decisions, architecture, and engineering best practices.
Mentor developers through hands-on technical leadership.
Work closely with Product, Design, and Customer Success to deliver impactful solutions.
Explore and adopt the latest AI tools to improve both our product and development workflows.

At our company, what you do matters. Every day, we protect over 100,000 organizations worldwide from increasingly sophisticated cyber and AI-driven threats, securing their AI transformation.
Our prevention-first approach safeguards hybrid networks, cloud environments, digital workspaces, and AI systems, stopping attacks before they happen.
This is where innovation meets real-world impact. Youll help customers across industries operate with confidence in a rapidly changing digital world, working alongside smart, curious people who take ownership, challenge assumptions, and solve complex problems.
Were proud to be recognized by TIME, Newsweek, and Forbes for excellence and workplace culture.
What really sets our company apart is the opportunity to grow, contribute, and help companies navigate their AI transformation securely.
If youre excited to work at the forefront of AI-driven security on a global scale, this is the place to do it.
Key Responsibilities
our companys Secure OS group is responsible for designing, developing, upgrading, and maintaining GAiA OS - our companys Linux-based OS.
We are looking for a team leader who can lead such a team, research new technologies, navigate through an unfamiliar code, analyze the behavior of complex environments, and set a high standard when providing improvements and sophisticated solutions for our companys customers.
If you have a passion for Linux kernel and innovation - we are looking for you!

We're looking for a Tech Lead who is more than a great data engineer - someone who brings equal depth in backend software engineering and broad fluency across data technologies, databases, and large-scale distributed systems. You'll own the architecture and hands-on development of our data platform while driving engineering excellence across the team.
Key Responsibilities
Architect and evolve our Data Warehouse, Data Lake, and ETL/ELT pipelines across multiple products and business domains
Design and build enterprise-grade backend services and APIs that expose data platform capabilities at scale
Own technical decisions on scalability, reliability, observability, and data quality
Lead cross-functional initiatives with R&D, product, analysts, and business stakeholders
Mentor data engineers and developers through design reviews, technical leadership, and engineering best practices
Drive adoption of modern data technologies, AI-first practices, and automation.

Were on the lookout for a driven and experienced hands-on Engineering Team Leader to lead a group of engineers building the AI module in our next-generation cyber-AI product.
This team owns the core backend and frontend logic that powers multiple AI agents for SOC that bring intelligence and automation into the experience.
As a hands-on leader, youll guide a talented team of engineers in creating fast, scalable, and intelligent AI application on top of our platform.
:Responsibilities
Lead a multidisciplinary team responsible for backend services, frontend and AI agent engineering
Mentor engineers, grow the team, and foster a culture of technical excellence and innovation.
Develop the agentic and conversational architecture enabling LLM-powered user interactions and intelligent workflows.
Collaborate with AI research, data, and product teams to seamlessly integrate AI-driven capabilities into production systems.
Define and drive the technical roadmap, ensuring scalability, developer productivity, and rapid iteration.

We are looking for an experienced full-stack team lead to join our R&D organization, lead the design and development of large-scale, data-oriented applications.
In this role, you will manage a talented team of full-stack engineers while remaining hands-on and technically involved in building our core SaaS security platform.
You will play a key role in shaping system architecture, driving technological innovation, and ensuring the delivery of robust and scalable solutions in a fast-paced, dynamic environment.
Key Responsibilities:
Lead and mentor a team of full-stack engineers, guiding them in design, development, and delivery of complex projects.
Drive the architecture and implementation of data-centric applications using modern technologies and cloud infrastructure.
Lead a fast-moving development team, ensuring strong execution and teamwork in a dynamic environment
Collaborate with QA, Product, Design, and DevOps teams to ensure system scalability, reliability, and performance.
Conduct code reviews, enforce best practices, and foster a high-quality engineering culture.
Research and integrate new technologies to overcome technical challenges and improve productivity.
Own full project lifecycle, from requirement gathering and design to deployment and monitoring in production.

We are on the lookout for a driven and experienced hands-on Engineering Team Leader to lead a group of engineers building Sensor.
This team owns the entire endpoint agent, which is the backbone of collection capabilities from Windows and Linux endpoints.
As a hands-on leader, youll guide a talented team of engineers in designing and evolving the agent that enables our fully AI-driven platform to identify and respond to real-time advanced persistent threats.
The Responsibilities:
Lead a team responsible for the endpoint product on Windows and Linux systems.
Mentor engineers, grow the team, and foster a culture of technical excellence and innovation.
Design and code production-grade C++ to create robust and high-performance software applications.
Collaborate with backend, frontend, research and other teams within the company to deliver state-of-the-art solutions for challenging problems.
Define and drive the technical roadmap, ensuring scalability, developer productivity, and rapid iteration.
Participate in code reviews with an emphasis on design and code quality, ensuring the team adheres to best practices and guidelines.

Were growing and looking to hire a Software Team Leader - XSA who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
As a Software Team Leader for XSA (xDome Secure Access), you will lead the development of our industry-leading secure remote access solution. In a world where critical infrastructure is increasingly connected, your team will build the bridge that allows safe, monitored, and frictionless access to sensitive industrial environments. You will deal with complex networking challenges, identity management, and high-availability systems where security and performance are equally paramount.
Responsibilities:
As a Software Team Leader - XSA, your impact will be:
Lead and Empower: Drive a high-performing team of developers, fostering a culture of technical ownership, security-first mindset, and continuous delivery.
Secure Connectivity: Lead the design and implementation of robust secure access features, ensuring seamless integration between IT and OT networks.
Architectural Leadership: Oversee the development of scalable, high-performance gateway and proxy architectures that support global enterprise scales.
Cross-Functional Collaboration: Work closely with Product Management and Security Researchers to implement Zero Trust principles and advanced session monitoring capabilities.
Mentor and Grow: Invest in your teams professional growth, promoting best practices in code quality, security protocols, and system resilience.

Are you ready to shape the future of intelligent transportation technology? Join as a Group Lead within our growing engineering teams.
This pivotal role requires combining a strong technical vision with organizational leadership. You will define the technical direction for a critical domain, lead a global group of fullstack teams, and ensure we build scalable, high-performance systems that power real-time fleet optimization worldwide. This is a unique opportunity to influence both technology and people at scale within a rapidly growing global company.
Key Responsibilities:
Technical Vision & Architecture Ownership
Ability to roll up your sleeves and get into the details and be hands on where needed.
Define and drive the architectural strategy, as well as ensuring systems are built for long-term performance, scalability, reliability, and maintainability.
Lead complex, cross-functional system design initiatives, covering real-time workflows, large-scale data processing, and distributed services.
Establish and enforce engineering standards and best practices across development teams.
Engineering Leadership
Lead, mentor, and foster continuous growth for a group of full-stack engineers, promoting a culture of ownership and engineering excellence.
Drive strategic organizational scaling through active involvement in the hiring process.
Build clear career development paths for team members.
Strategic Delivery & Business Impact
Collaborate closely with Product Management and Business teams to define technical roadmaps, strategy, and ensure execution aligns with core company goals.
Work cross-departmentally with teams to deliver robust systems and exceptional user experiences.
Oversee the successful end-to-end delivery of large, complex, and cross-team initiatives.
Translate complex mobility and optimization challenges into robust, scalable technical solutions.