דרושים » תוכנה » Staff Engineer

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

We are seeking a passionate and highly skilled Senior Golang Developer to join our dynamic Software Engineering team. The ideal candidate is an expert Go engineer with a strong background in building scalable, high-performance distributed backend systems on the cloud. You should be enthusiastic about working with cutting-edge technologies in an Agile environment and capable of owning complex components end-to-end, taking an idea through design, testing, and production monitoring.

What will you do:
Responsible for the full lifecycle of our distributed services, focusing on performance, reliability, and innovation: Design & Development
* Architect, design, and implement robust backend services and distributed system components using Go, ensuring high scalability, reliability, and performance.
* Develop microservices and server side infrastructure with clean, maintainable, and testable code.
* System Ownership: Take full ownership of complex components, moving them from initial concept design through development, testing, CI/CD, and production deployment and monitoring. System Optimization & Data
* Optimize service performance, parallel processing, concurrency handling, and resource utilization in high-scale environments.
* Work with a variety of data stores and event-streaming technologies.
* Integrate services with technologies like OpenSearch, Redis, and column store databases as part of the system architecture.
* Implement secure development practices and production ready standards. Collaboration & DevOps
* Work closely with Data Engineering, DevOps, and Product teams to deliver high quality, production grade services.
* Develop and deploy applications in Kubernetes environments, leveraging strong DevOps best practices and CI/CD pipelines for smooth, reliable releases.
* Participate actively in code reviews, design discussions, and cross team technical initiatives. Innovation
* Explore new technologies, evaluate tools, and propose improvements to the existing stack and development processes, championing a culture of continuous improvement and technical excellence.


About Us:
Cynet is a leader in threat detection and response, designed to simplify security for organizations of all sizes. Our mission is to empower lean security teams and their partners with an AI-powered, unified platform that autonomously detects, protects, and responds to threats - backed by 24×7 security experts. With a Partner First mindset , we focus on helping customers and partners stay protected, operate confidently, and achieve their goals. Our vision is to give every organization true cybersecurity peace of mind, providing fast, accurate protection without the noise or complexity.

We are seeking an experienced and highly skilled Senior Python Backend Developer to join our dynamic team.
You will be at the heart of our engineering efforts, responsible for designing, developing, and maintaining the high-performance, scalable, and secure cloud-based solutions that power our Fintech Compliance and Risk management products.
Working with cutting-edge technologies like Python, Node.js, and AWS, you will build innovative, low-latency, and highly available systems that form the core of our business. In this role, you will be instrumental in shaping our technical architecture and driving excellence in a fast-paced, evolving environment.
Key Responsibilities:
Architecture & Development: Lead the design and development of robust, scalable, and secure backend systems and APIs, primarily using Python.
Cloud Infrastructure: Architect, build, and maintain high-scale solutions on modern cloud platforms (specifically AWS) to ensure reliability, scalability, and performance.
System Performance: Design and implement services optimized for low-latency processing, high availability, and fault tolerance for mission-critical financial applications.
Technical Leadership: Provide technical leadership and mentorship to junior and mid-level developers, fostering best practices in code quality, testing, and maintainability.
Product Focus: Develop and enhance Compliance and Risk management products for the Fintech sector, ensuring they meet strict regulatory requirements and industry standards.
Optimization & Reliability: Take ownership of system performance, scalability, and reliability. Proactively identify and resolve bottlenecks in code and architecture.
Collaboration: Work closely with cross-functional teams, including frontend developers, DevOps engineers, and product managers, to deliver seamless end-to-end solutions.
Innovation: Stay current with emerging technologies and industry trends, driving the adoption of new tools and frameworks to solve complex challenges effectively.

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.

As a Lead DevOps Engineer, your role involves the design and development of robust, scalable, and resilient distributed systems. You'll define product specifications, leveraging your technical expertise to create optimal solutions hosted in Kubernetes on AWS Cloud. This position requires extensive collaboration with various teams throughout the software development lifecycle. You will lead design discussions and code reviews, contributing to the overall quality of engineering within the organization.

Your responsibilities also include creating and supporting reusable application components and patterns, considering both business and technology perspectives. You'll utilize developer tools and a range of AWS services for task management, source code handling, building, deployment, operations, and real-time communication. You are expected to demonstrate advanced skills in application design, implementation, and maintenance, often with minimal supervision.

Beyond technical tasks, you will mentor other engineers, sharing your knowledge and actively contributing to the enhancement of best practices and processes within and across teams.

Responsibilities:

Design, build, and maintain the scalable cloud infrastructure and CI/CD pipelines necessary to support our cutting-edge AI and optimization services.

Champion Infrastructure as Code (IaC) practices using tools like Terraform and Kubernetes to automate the deployment, scaling, and management of our production environments.

Implement robust monitoring, logging, and alerting systems to ensure the high availability, performance, and reliability of all services.

Partner with development teams to streamline the software development lifecycle, improve deployment velocity, and embed best practices for security and operational excellence.


JR314438

our company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our companys needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The Waze Engineering Productivity (EngProd) team is the multiplier for all of Waze engineering.
In this role, you will design, build, and own the foundational systems that empower developers to ship with speed, quality, and confidence. You will be maintaining systems and leading the charge on Waze's technical initiatives.
Waze is where people and technology meet to solve transportation challenges. It's a platform that empowers users to contribute road data and edit Waze maps to improve the way we move about the world. As the social navigation pioneer, Waze leverages mobile technology and a passionate global community to redefine expectations of todays maps.
Responsibilities
Develop and maintain back-end services and libraries, in the Java ecosystem, that form the support of the development environment.
Take ownership of components within technical initiatives, such as the company-wide migration to our company3 or the rollout of new Artificial Intelligence (AI)-powered developer tools.
Deploy and manage mission-critical services on our company Cloud Platform (GCP) using technologies like Kubernetes and Docker, ensuring high availability and performance.
Collaborate with engineering teams across Waze to understand their issues, gather requirements, and deliver solutions that make their workflows efficient.
Work with Java, Python and our company's internal tooling to select the right technology for the job.

Were looking for a Senior Software Engineer to join our growing R&D team. In this role, you will play a critical part in designing, building, and optimizing complex systems that power our AI-driven platform.
Youll work across the stack- primarily on backend services - with opportunities to influence architectural decisions and build highly scalable and performant systems.
Youll collaborate closely with AI, product, and frontend teams to bring advanced features to life and ensure a seamless, intelligent experience for our users.
This is a high-impact role for someone who is passionate about engineering excellence, eager to shape systems end-to-end, and ready to grow with a fast-moving, AI-first company.
Key Responsibilities:
Design, develop, and maintain robust backend systems and services.
Ensure the scalability, performance, and security of backend components.
Collaborate with front-end developers and data teams to integrate user-facing elements with server-side logic.
Optimize the platform's infrastructure to handle large-scale data processing and analysis.
Troubleshoot and debug complex issues, identifying and implementing the most effective solutions.
Contribute to the architecture and system design decisions for the backend infrastructure.
Stay up to date with industry trends and new technologies to continuously improve backend performance.

We are looking for a hands-on Tech Lead to join the Core Platform team within our ML. Our engineering teams build the foundational systems behind global artifact storage, replication, and distribution - and increasingly power the next generation of AI/ML operations and governance. Our platform is the backbone for ML workloads: managing model binaries, versioning, and scalable runtime environments for ML and AI applications. This role combines deep distributed systems with modern ML infrastructure challenges such as high-throughput inference, safe model rollouts, and multi-cloud GPU efficiency. You will also help evolve core libraries and developer-facing tools, including logging, observability, and visibility components.

As a senior technical leader, you will influence architecture across squads, lead complex development efforts, and remain heavily hands-on.

As a Tech Lead in Core Platform you will
Design and evolve components for managing and distributing ML/AI models and artifacts at scale.
Extend the platform to support reliable, high-performance inference and training workflows.
Lead cross-team technical initiatives and serve as a reference for distributed systems and ML infra design.
Write maintainable, high-quality code in performance-critical areas.
Mentor engineers and drive strong engineering practices.
Collaborate with adjacent teams to ensure seamless end-to-end ML platform behavior.
Improve the reliability, efficiency, and observability of core services.

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 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.