דרושים » תוכנה » Development Group Manager-Blockchain Security-Incubated startup

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.

Were hiring a Machine Learning Engineering Manager to guide and grow a high-impact ML team driving AI-powered innovation across B2B SaaS platform. Youll lead the design and delivery of AI solutions while mentoring engineers and setting the technical direction for AI-first development at scale.
This is a leadership role with a balance of hands-on engineering and team management, perfect for someone who thrives on solving technical challenges, inspiring a team, and shaping the future of AI in fintech automation.
What You Will Do:
Lead & Mentor: Manage, mentor, and grow a team of ML engineers, fostering technical excellence and career development.
Set Technical Direction: Define the ML strategy, ensuring best practices in architecture, frameworks, and operationalization.
Build and deploy AI-based solutions: Oversee the development and deployment of GenAI/LLM-powered solutions that address real-world challenges across products.
Scale & Operationalize: Establish scalable ML infrastructure, CI/CD, observability, and data pipelines for high-availability production systems.
Collaborate Cross-Functionally: Partner with product managers, engineers, and business stakeholders, clearly communicate progress, challenges, and outcomes.

Were looking for an experienced and passionate Staff Data Engineer to join our Data Platform group in TLV as a Tech Lead. 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 Lemonades data ecosystem.

The groups mission is to build a state-of-the-art Data Platform that drives Lemonade 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.

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 Lemonade 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

Were looking for an experienced and visionary VP of R&D to lead and scale engineering organization. This is a key leadership position, reporting directly to the CTO, responsible for driving technical strategy, execution, and delivery across multiple product lines.
You will lead our delivery teams, work closely with Product and Architecture, and ensure we build a secure, scalable, and innovative cloud-native platform.
As part of the management team, you will shape company strategy, influence culture, and take ownership of production environment and overall R&D success.
Responsibilities:
Lead R&D organization, including multiple engineering teams, architects, and managers.
Drive execution and delivery of core platform and new product initiatives.
Collaborate with Product to plan, prioritize, and deliver features from concept to production.
Oversee production stability, performance, and security, ensuring smooth operations at scale.
Guide technical direction and architecture decisions across the platform, addressing challenges in multi-tenancy, scaling, and cloud-native systems.
Mentor and develop managers and engineers, creating a culture of ownership, accountability, and excellence.
Recruit and structure the R&D organization for the next phase of growth, attracting top talent and building an elite team.
Champion innovation and experimentation, encouraging teams to push the boundaries of whats possible.
Partner closely with the executive team to align R&D with business strategy and deliver measurable impact.

we are seeking an experienced Backend Team Lead, to build and lead a high-performing backend engineering team while driving critical technical initiatives across our platform. This is a pivotal role where you'll balance hands-on technical contribution with people leadership, shaping both our engineering culture and technical architecture.
You'll own significant parts of our backend infrastructure - from large-scale image processing pipelines and AI model serving systems to distributed cloud architecture and RESTful APIs.
As a technical leader, you'll mentor engineers, drive architectural decisions, and ensure our systems scale to handle billions of images while maintaining reliability and performance.
Additionally, you will serve as a Squad Lead, managing a cross-functional business unit that includes both Backend and Frontend engineers, driving end-to-end product delivery.
This role offers the opportunity to directly impact growth by building the team and systems that power our AI-driven photo editing platform used by professional photographers worldwide.
Responsibilities
Lead, mentor, and grow a team of Backend engineers, conducting 1-on-1s, performance reviews, and career development planning.
Lead a cross-functional squad (Backend + Frontend engineers) as a Squad Lead, driving product initiatives from conception to delivery.
Drive technical strategy and architectural decisions for Backend systems, ensuring scalability, reliability, and maintainability.
Develop and optimize scalable, distributed systems on cloud infrastructure.
Balance hands-on technical work (coding, design reviews, troubleshooting production issues) with team leadership and strategic planning.
Conduct code reviews and establish best coding practices, ensuring adherence to engineering standards across your team.
Monitor system health and lead incident response efforts to ensure high availability of customer-facing services.
Foster a culture of ownership, continuous improvement, and technical excellence within your team.

we are looking for a AI Engineer to join our R&D organization and help lead the development of AI-powered and data-driven capabilities in our Developer Productivity Platform.
In this role, you will transform data into actionable insights and intelligent models that help software teams understand, measure, and improve how they work. Youll work closely with product, data, and engineering teams to design and deliver AI and data science solutions that have real impact on developer productivity and business outcomes.

Key Responsibilities:
Design, develop, and deploy AI-driven features & data science and ML models to analyze code flows, software development processes, team behaviors, and performance metrics.
Build AI & data pipelines and analytical infrastructure that ensure data quality, accessibility, and freshness at scale.
Translate complex data into clear, actionable insights and code analysis that influence product direction and drive customer value.
Develop and maintain predictive, prescriptive, and diagnostic models to support use cases like delivery forecasting, productivity measurement, and team health analysis.
Partner with Product Managers, Data Engineers, and Backend Engineers to bring insights to life through AI & data-driven features and platform improvements.
Monitor and continuously improve model performance through experimentation, A/B testing, and user feedback loops.
Research and evaluate new AI/ML tools and methodologies to enhance the platforms intelligence and scalability.

Production Engineers (PEs) at our company are specialized software engineers who develop the underlying infrastructure for all of our company's products and services, forming the backbone of every major engineering effort that keeps our platforms running smoothly and scaling efficiently. PEs work across our companys product and infrastructure teams to ensure our services are reliable, performant, and capable of supporting billions of users. This means writing high‑quality code, solving complex problems in live production, and tackling challenges that impact over 2 billion people worldwide. Our PEs are embedded in teams across the spectrum from products like Instagram, WhatsApp, Oculus, and Videos to critical backend services such as Storage, Cache, and Networking. The team brings together diverse levels of experience and backgrounds. Working alongside some of the best engineers in the industry, youll contribute to code and systems that go into production and are used by millions every day. In Production Engineering at our company, we navigate uncharted waters daily solving problems at a scale few others face.
Production Engineer Responsibilities
Own the end-to-end reliability and scalability of the platforms, services, and products built on top of our companys underlying infrastructure and network
Write and review code, develop documentation and capacity plans, and debug the hardest problems, on some of the largest and most complex systems in the world
Together with your engineering team, you will share an on-call rotation and be an escalation contact for live service incidents
Partner alongside the best engineers in the industry on the coolest stuff around, the code and systems you work on will be in production and used by billions of users all around the world.

We are looking for a Team Lead to join our Network Orchestration group. Our group is responsible for developing scalable, high-performance distributed systems that support complex network infrastructures.
As a Team Leader, you will drive the architecture, design, and development of critical components of the system. You will lead a team of frontend engineers, define best practices, and ensure the scalability and maintainability of the system
Our group is growing, and you will play a key role in building and expanding the team. You'll have the opportunity to optimize and enhance key parts of our system, leveraging the latest tools and infrastructure to drive innovation and efficiency.
Responsibilities
Lead & mentor a high-performing development team in building advanced, scalable software solutions.
Collaborate closely with development teams to provide seamless integration across applications.
Work closely with QA to implement best practices for testing and automation, ensuring high software quality and reliability.
Coordinate with Product Managers to align development with business priorities and roadmap planning.
Engage with UI/UX Designers to ensure an intuitive and high-quality user experience.
Define and enforce best practices, coding standards, and architectural guidelines for frontend development.
Stay updated with industry trends and emerging technologies to drive innovation in UI infrastructures.
Work with CI/CD pipelines to automate testing, deployment, and monitoring of UI libraries.

We are seeking a highly motivated and experienced Team Leader to join our Fly group and be responsible for planning, coordinating, and leading technical projects across the full delivery lifecycle. To join us, you should bring strong hands-on leadership, combining technical excellence with innovation, leading by example, and mentoring your team while fostering close collaboration with product partners and external stakeholders.

As an R&D Team Leader you will:
Lead a team of 57 developers working on a large-scale, complex, and innovative product.
Manage the delivery of multiple domains within the product, spanning various disciplines and technologies from design through release.
Identify and manage risks and challenges, ensuring alignment, commitment, and high-quality execution across all stakeholders.
Make key decisions that focus effort on the most impactful opportunities for the successful implementation of team initiatives.
Take an active role in recruiting, onboarding, and mentoring new team members to build a strong, collaborative, and high-performing team.
Contribute to the architecture and design of the different solutions, while exploring new technologies to drive innovation and scalability.

We are seeking a highly skilled Senior Networking AI Platform Engineer to join our Applied Networking AI group. In this role, you will help design and develop cutting-edge AI solutions, integrating them seamlessly into a variety of products. Youll collaborate closely with multi-functional teams of data scientists, software engineers, and DevOps professionals to ensure the efficient deployment, monitoring, and optimization of machine learning (ML) models.
As a key contributor, you will drive the entire software development lifecycle-from conceptualization and architecture to implementation and production-while working closely with engineering teams to solve complex problems and help build a successful company practice.
What you'll be doing:
Lead the design, development, and deployment of robust software systems across different platforms and environments
Architect, design, and implement scalable and high-performance software solutions, handling complex requirements and integrating various subsystems
Ensure systems are maintainable, flexible, and well-documented, with an emphasis on performance and security
Adapt to new tools, technologies, and frameworks, and be capable of taking ownership of the development process from conception to deployment
Supply innovative ideas and solutions, driving continuous improvement in both code quality and system efficiency
Develop and maintain scalable infrastructure for handling and deploying security and networking ML models in production, ensuring high availability, scalability, performance.
Design and implement data pipelines to efficiently process and transform large volumes of data for training and inference purposes.
Optimize and fine-tune ML models for performance, scalability, and resource utilization, considering factors such as latency, efficiency, and cost.
Collaborate with data scientists and software engineers to operationalize and deploy ML models, including model versioning, packaging, and integration with existing systems.