דרושים » תוכנה » R&D Team Leader

Were looking for a Tech Lead to join our team in our Tel Aviv office (Hybrid) with deep technical expertise who is excited to lead architecture, delivery, and culture across our Tel Aviv-based R&D team.
This is a hands-on tech lead role focused on owning business-critical products and driving cross-functional execution across design, product, DevOps, and engineering. Youll lead by example - mentoring others, delivering scalable systems, and owning reliability, performance, and velocity across your domain. Hybrid work is available.
Responsibilities:
This role involves approximately 70% backend development and 30% frontend, with a strong emphasis on building scalable backend systems.
Drive cross-functional technical initiatives and own end-to-end delivery of critical product features using a JavaScript-centric stack (Node.js, React, Next.js, TypeScript).
Guide the team through design reviews, technical tradeoffs, refactoring, software quality improvements, and long-term architectural planning.
Set technical direction for the team while aligning with company-wide product and architecture goals.
Multiply the impact of the team: mentor engineers, promote best practices, and raise the technical bar across the board.
Collaborate closely with Product, UX, QA, and other engineers to turn business goals into scalable systems.
Lead and mature CI/CD processes, DevOps collaboration, deployment automation, and cloud-native infrastructure practices.
Take ownership of production health: drive the culture and systems for monitoring, observability, and fast recovery from incidents.
Lead post-incident reviews, improve telemetry, and drive systemic fixes that improve reliability and developer feedback loops.

We are looking for a talented Full Stack Developer to join our dynamic team As a key contributor, you will work in an agile environment to build optimize, and maintain scalable, high-quality SaaS applications. You will collaborate closely with designers, product managers, and other engineers to develop and enhance our products.
Responsibilities:
Develop and maintain high-quality, scalable web enterprise-ready SaaS applications using modern front-end and back-end technologies.
Stay up to date with the latest updates in React, Next.js and Node.js, continuously implementing best practices.
Work closely with UX/UI designers to create engaging and intuitive user experiences.
Optimize applications for maximum speed and scalability.
Utilize Next.js and Node.js as Backend-for-Frontend (BFF) architecture.
Write clean, reusable, and well-documented code.
Ensure best practices in software development, including code reviews and testing.
Work with DevOps to improve CI/CD pipelines, deployment and testing strategies.
Collaborate with the backend team and contribute to Python development as we expand our expertise.
Continuously explore and implement new technologies to enhance development efficiency.

Were looking for a Full-Stack Engineer who thrives at the intersection of code, data, and AI. Someone whos passionate about building impactful product experiences end-to-end while leveraging the latest AI tools and automation frameworks.
Why Join Us?
Be part of a lean, autonomous team with the agility of a startup and the reach of a global company.
Work at the intersection of AI and cybersecurity, with the freedom to explore and build.
Help shape the future of Harmony SASE - a core pillar in our companys secure access strategy.
Build high-impact features used by thousands of organizations worldwide.
Key Responsibilities
Design, implement, and own full-stack features that improve user experience and drive product adoption.
Collaborate with product managers, UX designers, and data analysts to identify growth opportunities.
Prototype and deliver experiments quickly to validate hypotheses and learn from real users.
Integrate AI engineering (LLMs, AI Agents) into both the product and internal development processes.
Apply MCP concepts to build smarter, context-aware agent workflows.
Contribute to a modern, scalable, and performance-driven architecture across the front and back end.
Join a fast-moving team that values ownership, speed, and measurable impact.

As an Mobile Enablement Manager on the Professional Services group in our Tel-Aviv Office, youll work closely with our Engineering and Product teams, act as a knowledge hub and actively deliver exceptional new products to our global Professional Services group and customers.
How youll make an impact:
As a Mobile Enablement Manager, youll bring value by:
Play a pivotal role in the product lifecycle and its roadmap.
Work closely with our companys Engineering and Product teams on enabling new features for scale.
Take end-to-end ownership of new products and features.
From the support perspective, this includes training, creating/updating knowledge base articles, and other internal communication.
From the product perspective, it includes implementation, integration, documentation, scaling, and effectively communicating to all stakeholders.
Create and Maintain new product documentation and training for Professional Services and business teams, including creating/updating knowledge base articles.
Handle highly complex technical escalations coming from Professional Services and consult on complex implementations/issues coming from clients. This may require close dev to dev calls with clients Engineering teams.
Serve as a knowledge hub on features and our company products and ensure support issues are resolved meticulously.
Create and lead support improvement processes across the company.
Technically contribute to product maturity and scale by creating scripts, tools, and processes, as well as developing tools, processes, and automation for internal and external stakeholders.
Lead, manage, and execute cross-company technical projects and product improvements. Be willing to take on any challenge or role in the project, including hands-on contributions.
Track product performance, analyzing the quality of service (delivery/support) to our clients.

As an AI Developer on our Optimization team, you will play a key role in advancing our core optimization capabilities by infusing them with cutting-edge artificial intelligence.

Our team is on a mission to significantly enhance our existing, high-performance optimization engine. You'll tackle a diverse range of complex problems - including optimization of vehicle routing and scheduling - for our customers at a massive scale.

You will join our team at a pivotal moment and be an integral part of building our next-generation AI/ML capabilities from the ground up. As a key contributor, your responsibilities will span the entire model lifecycle, from augmenting our current optimization models with advanced AI to implementing the infrastructure for their deployment and monitoring.

You will apply state-of-the-art techniques such as Deep Reinforcement Learning (DRL), predictive analytics, and Graph Neural Networks (GNNs), all while working with rich datasets including Geographic Information System (GIS) data.

Another core part of your role will be implementing best practices for safe AI/ML rollouts. You will help build and maintain robust A/B testing frameworks and canary deployment strategies, ensuring our innovations reach production safely and effectively.

In this highly collaborative position, you will work closely with other engineers and scientists, as well as cross-functional product teams in the US, to bring these intelligent services to life.

Responsibilities:

Develop, implement, and deploy state-of-the-art optimization models and machine learning algorithms to solve complex business problems like vehicle routing and resource scheduling.

Design and build robust, end-to-end MLOps pipelinesfrom data ingestion and feature engineering to model training, validation, and serving in a production environment.

Translate complex scientific concepts and research papers into production-quality code, primarily using Python and leveraging frameworks like PyTorch and optimization libraries.

Conduct rigorous offline and online experiments to validate model performance, ensuring that solutions are statistically sound, reliable, and deliver measurable business impact.

We are looking for a Code Infrastructure engineer to join a new initiative in the Cortex XDR agent group.
The Cortex XDR Agent is a disruptive anti-exploit & anti-malware product, is the foundation of most of the Cortex products, providing the boots-on-the-ground for our endpoint protection solutions. The new hire will join an initiative across the security R&D group that focuses on agent dev velocity. The new hire will join a task force that sets their own roadmap and focuses on bringing the most value to the developers - increasing velocity and quality.
The role revolves mainly around developing an e2e testing framework, written in Python, setting up innovative CI processes and incorporating 3rd party tools to the development process from design to deployment.
Were looking for a versatile individual whos always looking for ways to improve processes, learn and add new tools and find their own path forward based on developer feedback. The ideal candidate has Python as his strongest language, has experience with CI tools and processes and can learn and utilize new technologies quickly. Finally, the candidate will have many stakeholders across several groups including dev, research, devops, QA and others - We want an individual that can reason and protect the importance of their work while building meaningful and productive relationships with stakeholders.
Your Impact
Build and Maintain Testing Frameworks: The individual will assist in the implementation and management of an end-to-end testing framework using Python, enabling developers to quickly author and run tests on their code both in development and CI.
Support CI/CD Processes: The engineer will help set up and maintain continuous integration and deployment processes, utilizing innovative tools and practices to streamline development and ensure consistent, high-quality outputs.
Boost Developer Efficiency: By contributing to initiatives aimed at increasing development velocity, the candidate will help enhance the productivity of the development team, enabling them to focus on creating valuable product features while reducing time spent on routine tasks.
Collaborate Across Teams: The role involves working with various stakeholders, including development, research, DevOps, and QA teams. The individual will need to effectively communicate and collaborate to understand their needs and help align the infrastructure projects with these requirements.
Learn and Adapt: The candidate will continuously learn new technologies and tools relevant to their role, adapting quickly to changes and integrating new methodologies into the development process to keep it efficient and up-to-date.

We are looking for a Code Infrastructure engineer to join a new initiative in the Cortex XDR agent group.
The Cortex XDR Agent is a disruptive anti-exploit & anti-malware product, is the foundation of most of the Cortex products, providing the boots-on-the-ground for our endpoint protection solutions. The new hire will join an initiative across the security R&D group that focuses on agent dev velocity. The new hire will join a task force that sets their own roadmap and focuses on bringing the most value to the developers - increasing velocity and quality.
The role revolves mainly around developing an e2e testing framework, written in Python, setting up innovative CI processes and incorporating 3rd party tools to the development process from design to deployment.
Were looking for a versatile individual whos always looking for ways to improve processes, learn and add new tools and find their own path forward based on developer feedback. The ideal candidate has Python as his strongest language, has experience with CI tools and processes and can learn and utilize new technologies quickly. Finally, the candidate will have many stakeholders across several groups including dev, research, devops, QA and others - We want an individual that can reason and protect the importance of their work while building meaningful and productive relationships with stakeholders.
Your Impact
Build and Maintain Testing Frameworks: The individual will assist in the implementation and management of an end-to-end testing framework using Python, enabling developers to quickly author and run tests on their code both in development and CI.
Support CI/CD Processes: The engineer will help set up and maintain continuous integration and deployment processes, utilizing innovative tools and practices to streamline development and ensure consistent, high-quality outputs.
Boost Developer Efficiency: By contributing to initiatives aimed at increasing development velocity, the candidate will help enhance the productivity of the development team, enabling them to focus on creating valuable product features while reducing time spent on routine tasks.
Collaborate Across Teams: The role involves working with various stakeholders, including development, research, DevOps, and QA teams. The individual will need to effectively communicate and collaborate to understand their needs and help align the infrastructure projects with these requirements.
Learn and Adapt: The candidate will continuously learn new technologies and tools relevant to their role, adapting quickly to changes and integrating new methodologies into the development process to keep it efficient and up-to-date.

We are looking for a talented Senior Full Stack Developer with an AI-oriented approach to help build and scale the platform powering our companys legal data operations. This role is critical in developing end-to-end systems used by both legal experts and law firms, leveraging cutting-edge technologies to deliver high-impact solutions. If youre a proactive, technically sharp engineer with a passion for innovation, system architecture, and AI-driven development approach, wed love to hear from you!
Responsibilities:
Collaborate with product managers, designers, and other engineers to design, develop and test our innovative products.
Mentor other engineers, providing technical guidance, define and apply engineering best practices (coding standards, software development methodologies, etc.) to leverage the team technical skills.
Continuously improve the performance, reliability, and security of our applications through design reviews, code reviews, refactoring, and optimization.
Identify and resolve technical challenges and bottlenecks in a timely manner.
Stay updated with emerging technologies and industry trends, and assess their potential impact on our products and processes.
Collaborate with cross-functional teams to translate business requirements into technical solutions.

We are searching for a highly motivated, excellent Software Engineer for design and verification to join the software tools group. You will design and develop tools that enable developers worldwide to harness the full power of our products. The successful candidate will show a strong background in C++ programming, strong documentation, and writing skills, take ownership of parts of the codebase, good communication and ability to integrate well as part of the team and organization, and motivated to solve sophisticated problems, developing tools for management, configuration and debug of all our networking products.

What you'll be doing:

As a valued member of the team, you will be involved in the technical design and implementation of numerous features working in an Agile environment. You will write code in C, C++ and Python, in OOP methodology.

Develop tools for management, configuration and debug of our networking products.

Effectively estimate and prioritize tasks in order to create a realistic delivery schedule.

Write fast, effective, maintainable, reliable and well documented code.

Collaborate with multiple development teams on new features.

Provide peer reviews to other engineers.

Document designs, and review documents with stake holders.

Demonstrate growth in technical and non-technical abilities.

Prepare and develop test plans for new features.

gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within our company to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with our company and we remain a trusted partner.
The gTech Ads Data Science EMEA team helps measure and optimize marketing ROI for our companys largest clients. We build bespoke models that address clients key business issues.
In this role, you will be responsible for applying best data science practices to solve our ads customers problems in marketing. You will be passionate about bringing the best of our companys Machine Learning (ML) capabilities to build innovative solutions that address our customer's problem-space. You will be responsible for executing on gTechs strategy and goal to deliver applied data science to our company's largest ads customers.
Responsibilities
Lead data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management with Machine Learning and statistics.
Collaborate with customers to unpack their problems and identify the best statistical techniques that can solve the problem; own the development of a modeling framework.
Engage important stakeholders to assess data and model readiness and be able to scale a proof-of-concept to a larger solution, collaborate with Product/Engineering teams to increase and optimize capabilities of our data scientist (DS) team, employing methods which create opportunities for scale, proactively helping to drive innovation.
Work with customer and internal teams to translate data and model results into tactical and insights that are actionable for decision.
Develop comprehensive understanding of our company data structures, and metrics, advocating for product changes where needed.